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Journal articles on the topic 'Mapping in physics'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Doris, Omeodu M. "Effect of Concept Mapping in Teachng of Physics in Senior Secondary Schools in Portharcourt Local Government Area Rivers State." European Scientific Journal, ESJ 14, no. 31 (November 30, 2018): 71. http://dx.doi.org/10.19044/esj.2018.v14n31p71.

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The study examined the effect of concept mapping in the teaching of physic in senior secondary school in port Harcourt local government area Rivers state. The purpose of the study was to determine the effect of concept mapping on the teaching of physics. The study also found the difference in the academic achievement of students taught physics with concept mapping and conventional teaching method. Eighty-four SS3 physics students were used for the study. Forty-three 43 comprised of the experimental group and fortyone in the control group. The study adopted pre-test post test quasi experimental design. The instrument used for the study was Physics achievement test (PAT).The instrument contained 25 multiple choice questions, in which each of the questions 2 marks. The instrument was validated by two experts in the department of science education in Rivers State University. Pearson product moment correlation coefficient was used to ascertain the instrument’s level of reliability, which resulted to r value of 0.62. findings of the study shows that students taught Physics with concept mapping significantly better than those taught with conventional method. Also the study found that there was no significant difference between male and female students taught Physics with concept mapping. The study recommended that teachers should imbibe concept mapping method in the teaching of Physics so as to enhance students’ comprehension, identification of relationships that exits between concepts and creativity.

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2

Pan, Jie. "Physics-educated DL refines phase mapping." Nature Computational Science 1, no. 10 (October 2021): 635. http://dx.doi.org/10.1038/s43588-021-00148-2.

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3

Angelelli, Mario, and Boris Konopelchenko. "Geometry of basic statistical physics mapping." Journal of Physics A: Mathematical and Theoretical 49, no. 38 (August 30, 2016): 385202. http://dx.doi.org/10.1088/1751-8113/49/38/385202.

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Lympany, Shane V., Matthew F. Calton, Mylan R. Cook, Kent L. Gee, and Mark K. Transtrum. "Mapping ambient sound levels using physics-informed machine learning." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A48—A49. http://dx.doi.org/10.1121/10.0015498.

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Mapping the spatial and temporal distribution of ambient sound levels is critical for understanding the impacts of natural sounds and noise pollution on humans and the environment. Previously, ambient sound levels have been predicted using either machine learning or physics-based modeling. Machine learning models have been trained on acoustical measurements at geospatially diverse locations to predict ambient sound levels across the world based on geospatial features. However, machine learning requires a large number of acoustical measurements to predict ambient sound levels at high spatial and temporal resolution. Physics-based models have been applied to predict transportation noise at high spatial and temporal resolution on regional scales, but these predictions do not include other anthropogenic, biological, or geophysical sound sources. In this work, physics-based predictions of transportation noise are combined with machine learning models to predict ambient sound levels at high spatial and temporal resolution across the conterminous United States. The physics-based predictions of transportation noise are incorporated into the machine learning models as a geospatial feature. The result is a physics-informed machine learning model that predicts ambient sound levels at high spatial and temporal resolution across the United States. [Work funded by an Army SBIR]

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Service, R. F. "Physics: Neutron Cartographers Lauded for Mapping Materials." Science 266, no. 5184 (October 21, 1994): 370. http://dx.doi.org/10.1126/science.266.5184.370.

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6

Austin, Lydia B., and Bruce M. Shore. "Using concept mapping for assessment in physics." Physics Education 30, no. 1 (January 1995): 41–45. http://dx.doi.org/10.1088/0031-9120/30/1/009.

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7

Gupta, Sanjeev, and Faizan Ahmad Khan. "Set-Valued Variational Inclusion Governed by Generalized αiβj-Hp(.,.,...)-Accretive Mapping." Axioms 11, no. 10 (October 8, 2022): 539. http://dx.doi.org/10.3390/axioms11100539.

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This work is concerned with the new notion called generalized αiβj-Hp(.,.,...)-accretive mapping that is the sum of two symmetric accretive mappings. It is an extension of the generalized αβ-H(.,.)-accretive mapping. The proximal point mapping linked to the generalized αiβj-Hp(.,.,...)-accretive mappings is defined, and some of its characteristics are discussed. As an application of the new proximal point mapping, we consider a set-valued variational inclusion problem in q-uniformly smooth Banach spaces. Further, we propose an iterative scheme connected with αiβj-Hp(.,.,...)-proximal point mapping to find the solution of a variational inclusion problem and discuss its convergence criteria under appropriate assumptions. Some examples are constructed in support of generalized αiβj-Hp(.,.,...)-accretive mappings.

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8

Broggy, Joanne, and George McClelland. "An investigation to determine the impact of concept mapping on learning in an undergraduate physics course." New Directions in the Teaching of Physical Sciences, no. 4 (February 23, 2016): 34–38. http://dx.doi.org/10.29311/ndtps.v0i4.393.

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In recent years extensive research has been carried out to evaluate and highlight the declining number of graduates from science related courses. Following this, several initiatives have been designed and implemented throughout the Republic of Ireland to combat the problem of low retention rates in undergraduate science courses and to introduce the use of more effective instructional methodologies that promote the active role of the learner while also encouraging the facilitative role of the teacher. This paper examines Concept Mapping, one such initiative that has been implemented in the University of Limerick over the last two years. The research presented here is part of a large project that aims to explore and evaluate the potential of Concept Mapping as an educational tool in physics education. This paper, however, sets out to specificallyanswer the following research question: What impact, if any, did Concept Mapping have on four particular aspects of physics learning? The paper examines the effect Concept Mapping had on understanding theory, identifying physics concepts, linking prior and new knowledge and, finally, problem solving.

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Vixège, Florian, Alain Berod, Yunyun Sun, Simon Mendez, Olivier Bernard, Nicolas Ducros, Pierre-Yves Courand, Franck Nicoud, and Damien Garcia. "Physics-constrained intraventricular vector flow mapping by color Doppler." Physics in Medicine & Biology 66, no. 24 (December 16, 2021): 245019. http://dx.doi.org/10.1088/1361-6560/ac3ffe.

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Abstract Color Doppler by transthoracic echocardiography creates two-dimensional fan-shaped maps of blood velocities in the cardiac cavities. It is a one-component velocimetric technique since it only returns the velocity components parallel to the ultrasound beams. Intraventricular vector flow mapping (iVFM) is a method to recover the blood velocity vectors from the Doppler scalar fields in an echocardiographic three-chamber view. We improved our iVFM numerical scheme by imposing physical constraints. The iVFM consisted in minimizing regularized Doppler residuals subject to the condition that two fluid-dynamics constraints were satisfied, namely planar mass conservation, and free-slip boundary conditions. The optimization problem was solved by using the Lagrange multiplier method. A finite-difference discretization of the optimization problem, written in the polar coordinate system centered on the cardiac ultrasound probe, led to a sparse linear system. The single regularization parameter was determined automatically for non-supervision considerations. The physics-constrained method was validated using realistic intracardiac flow data from a patient-specific computational fluid dynamics (CFD) model. The numerical evaluations showed that the iVFM-derived velocity vectors were in very good agreement with the CFD-based original velocities, with relative errors ranged between 0.3% and 12%. We calculated two macroscopic measures of flow in the cardiac region of interest, the mean vorticity and mean stream function, and observed an excellent concordance between physics-constrained iVFM and CFD. The capability of physics-constrained iVFM was finally tested with in vivo color Doppler data acquired in patients routinely examined in the echocardiographic laboratory. The vortex that forms during the rapid filling was deciphered. The physics-constrained iVFM algorithm is ready for pilot clinical studies and is expected to have a significant clinical impact on the assessment of diastolic function.

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10

HEYDARI, HOSHANG. "MULTILINEAR MAPPING AND STRUCTURE OF MULTIPARTITE STATES." International Journal of Quantum Information 06, no. 06 (December 2008): 1149–54. http://dx.doi.org/10.1142/s0219749908004493.

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We investigate the relation between multilinear mappings and multipartite states. We show that the isomorphism between multilinear mapping and tensor product completely characterizes decomposable multipartite states in a mathematically well-defined manner.

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11

Puspitasari, M. Dewi Manikta, Anita Sari Wardani, and Lilia Sinta Wahyuniar. "Epistemic Games of Moderate Physics-Capable Students in Completing Electrical Circuit Problems." Berkala Ilmiah Pendidikan Fisika 8, no. 1 (February 29, 2020): 33. http://dx.doi.org/10.20527/bipf.v8i1.7145.

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The students need a learning strategy that is compatible to develop electrical circuit problems completion. Additionally, problem-solving strategy (epistemic game) will develop a learning process that can stimulate the completion of physics. This case encourages the researcher to determine the epistemic game of moderate physics-capable students in solving electrical circuit problems. Moreover, it is qualitative research, and the participant of the research is the students who learn the electrical circuit. Moderate physics-capable students (4 moderately capable students out of 13 students) based on their physics understanding test results. Test and interview were used by the researcher to collect data. The test consists of a physics understanding test and an electrical circuit test. The physics understanding test is used to determine the level of students’ physics understanding, while the electrical circuit test is used to determine students’ epistemic games to solve the problems. The research finding showed the epistemic game of moderate physics-capable students was obtained from the analysis result of the electrical circuit test and interview. The analysis result of the first test, the second test, the third test, and the seventh test showed that the game used to solve problems was transliteration to mathematics. Meanwhile, the students used mapping mathematics to meaning and transliteration to mathematics to solve the problems in the fourth test. The analysis result of the fifth test and the eight test showed that the students used mapping mathematics to meaning to solve the problems. Furthermore, the sixth test was completed by mapping meaning to mathematics.

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12

Zakhiyah, I., N. Suprapto, and W. Setyarsih. "Prezi Mind Mapping Media in Physics Learning: A Bibliometric Analysis." Journal of Physics: Conference Series 2110, no. 1 (November 1, 2021): 012015. http://dx.doi.org/10.1088/1742-6596/2110/1/012015.

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Abstract This study aims to determine the trend of the author’s topics and keywords that are widely used related to Media Prezi Mind Mapping, to determine the contribution of Indonesian researchers in related research topics at an international scope, and to find out future research opportunities with associated topics mainly in physics learning. This research method is library research with descriptive analysis method through the bibliometric approach. The article’s metadata was obtained from the search results of the Google Scholar database, which found 16.600 articles for 2016-2020 with the keyword ‘Mind Mapping in Learning’. Meanwhile, based on the Scopus database, 7 Scopus indexed articles were obtained for 2014-2020 with the keyword ‘Prezi Mind Mapping’. All metadata obtained is saved in .csv and .ris format for further visualization by VOS viewer. The results of data analysis show that trend fans and contributions Indonesian researchers still very little. It can pose a challenge for future research to prove how far the existence level of Prezi Mind Mapping is to continue to be developed. In addition, there are recommendations for collaboration on mind mapping research topics in learning with one of the related keywords, namely STAD (Student Team Achievement Division), hoping to produce a more efficient learning model, especially in physics, to be applied in future research.

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13

Fitrah Dwi, Dara, Mara Bangun Harahap, and Derlina . "THE EFFECTS OF INQUIRY TRAINING MODEL USING MIND MAPPING AND MOTIVATION ON STUDENTS’ SCIENCE PROCESS SKILLS PHYSICS." Jurnal Pendidikan Fisika 5, no. 2 (December 1, 2016): 75. http://dx.doi.org/10.22611/jpf.v5i2.4401.

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This study aims to analyze, student’s science process skills who are taught by inquiry training learning model using mind mapping is better than the students that taught with conventional learning, science process skills in students who have motivated above average are better compared with students who have the motivation below average, and the interaction between the inquiry training learning model using mind mapping and motivation in improving students' science process skills. This research was conducted by quasiexperimental. The sample selection was done by cluster random sampling that were class X2 and X1. The research instrument was using science process skills test in the form of descriptions and tests of motivation in the form of a questionnaire. The data were analyzed by ANOVA two lanes. The results showed that: The ability of students’ physics science process skills using inquiry training learning using mind mapping is better than the ability of students’ science process skills using conventional learning model. The ability of students’ physics science process skills in motivational groups are above average better than the ability of students’ physics science process skills in conventional groups which are below average, and In this research, motivation above average dominant improves science process skills in Inquiry Training model using mind mapping rather than in conventional learning model

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14

GUO, YU, and ALBERT C. J. LUO. "PARAMETRIC ANALYSIS OF BIFURCATION AND CHAOS IN A PERIODICALLY DRIVEN HORIZONTAL IMPACT PAIR." International Journal of Bifurcation and Chaos 22, no. 11 (November 2012): 1250268. http://dx.doi.org/10.1142/s0218127412502689.

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In this paper, complex motions and chaos in the periodically driven horizontal impact pair are investigated using the theory of switchability for discontinuous dynamical systems. Domains and boundaries are defined due to the discontinuity caused by impacts. Analytical conditions for switching of stick and grazing motions are derived in detail. Generic mappings are introduced to describe different periodic motions and to identify the mapping structures of chaos. The periodic motions in such impact pair are analytically predicted, and the corresponding stability and bifurcation analysis of periodic motions are carried out. Parameter maps with different types of motions are developed. Periodic and chaotic motions with different mapping structures are illustrated numerically for a better understanding of physics of ball motions in the impact pair.

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15

OMOTO, RYOZO, and CHIHIRO KASAI. "Physics and Instrumentation of Doppler Color Flow Mapping." Echocardiography 4, no. 6 (November 1987): 467–83. http://dx.doi.org/10.1111/j.1540-8175.1987.tb01361.x.

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16

Sukarelawan, M. I., J. Jumadi, H. Kuswanto, T. Nurjannah, F. N. Hikmah, and M. F. Ramadhan. "Implementation of Rasch Model for Mapping Students’ Metacognitive Awareness." Jurnal Pendidikan Fisika Indonesia 17, no. 2 (November 19, 2021): 86–93. http://dx.doi.org/10.15294/jpfi.v17i2.27172.

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This study aim is to map students’ metacognitive awareness in physics subjects. This research was conducted at SMAN 1 Bantarsari in 2020. A total of 112 respondents (male = 17% and female = 83%) from class XI and XII were selected using a combination of snowball techniques and convenience sampling. Students’ metacognitive physics awareness was administrated using the Physics Metacognition Inventory (PMI) and analyzed using the Rasch model. The PMI inventory consists of 26 items and uses a Likert scale of 5 ratings ranging from 1 (never) to 5 (always). Mapping students’ physics metacognitive awareness based on the Logit Value of Person. Metacognitive awareness is classified into four levels, namely: low, medium, high, and very high levels. The results showed that more than 80% of students had metacognitive awareness at moderate and high levels. Dominant female students have metacognitive awareness at a high level and male students at a moderate level. The students’ metacognitive awareness in class XI and XII were at very high and moderate levels, respectively. The 15-16 year age group was dominant at a moderate level and the 17-18 year age group at a high level.

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17

Lin, Hai, and Jingcheng Wang. "Percolation of a random network by statistical physics method." International Journal of Modern Physics C 30, no. 02n03 (February 2019): 1950009. http://dx.doi.org/10.1142/s0129183119500098.

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In this paper, we develop an analytical framework and analyze the percolation properties of a random network by introducing statistical physics method. To adequately apply the statistical physics method on the research of a random network, we establish an exact mapping relation between a random network and Ising model. Based on the mapping relation and random cluster model (RCM), we obtain the partition function of the random network and use it to compute the size of the giant component and the critical value of the present probability. We extend this approach to investigate the size of remaining giant component and the critical phenomenon in the random network which is under a certain random attack. Numerical simulations show that our approach is accurate and effective.

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18

Goodman, Maurice. "Mesoscopic mapping." Physics World 21, no. 12 (December 2008): 19. http://dx.doi.org/10.1088/2058-7058/21/12/30.

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19

Biswas, Soumyajyoti, and Lucas Goehring. "Mapping heterogeneities through avalanche statistics." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2136 (November 26, 2018): 20170388. http://dx.doi.org/10.1098/rsta.2017.0388.

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Avalanche statistics of various threshold-activated dynamical systems are known to depend on the magnitude of the drive, or stress, on the system. Such dependences exist for earthquake size distributions, in sheared granular avalanches, laboratory-scale fracture and also in the outage statistics of power grids. In this work, we model threshold-activated avalanche dynamics and investigate the time required to detect local variations in the ability of model elements to bear stress. We show that the detection time follows a scaling law where the scaling exponents depend on whether the feature that is sought is either weaker, or stronger, than its surroundings. We then look at earthquake data from Sumatra and California, demonstrate the trade-off between the spatial resolution of a map of earthquake exponents (i.e. the b -values of the Gutenberg–Richter Law) and the accuracy of those exponents, and suggest a means to maximize both. This article is part of the theme issue ‘Statistical physics of fracture and earthquakes’.

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Liu, Yuhua, Wenjie Song, Jiuhu Sun, Tonglei Qu, and Dan Tian. "Application of mapping geographic information in emergency mapping." Journal of Physics: Conference Series 1971, no. 1 (July 1, 2021): 012059. http://dx.doi.org/10.1088/1742-6596/1971/1/012059.

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21

Gourlay, H. "Learning about A level physics students’ understandings of particle physics using concept mapping." Physics Education 52, no. 1 (December 7, 2016): 014001. http://dx.doi.org/10.1088/1361-6552/52/1/014001.

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22

Alzaidy, J. F. "Extended Mapping Method and Its Applications to Nonlinear Evolution Equations." Journal of Applied Mathematics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/597983.

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We use extended mapping method and auxiliary equation method for finding new periodic wave solutions of nonlinear evolution equations in mathematical physics, and we obtain some new periodic wave solution for the Boussinesq system and the coupled KdV equations. This method is more powerful and will be used in further works to establish more entirely new solutions for other kinds of nonlinear partial differential equations arising in mathematical physics.

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23

Istiyono, Edi, Wipsar Sunu Brams Dwandaru, and Revnika Faizah. "Mapping of physics problem-solving skills of senior high school students using PhysProSS-CAT." Research and Evaluation in Education 4, no. 2 (December 22, 2018): 144–54. http://dx.doi.org/10.21831/reid.v4i2.22218.

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Evaluation using computerized adaptive tests (CAT) is an alternative to paper-based tests (PBT). This study was aimed at mapping physics problem-solving skills using PhysProSS-CAT on the basis of the item response theory (IRT). The study was conducted inSleman Regency, Yogyakarta, involving 156 students of Grade XI of senior high school. Sampling was done using stratified random sampling technique. The results of the study show that the PhysProSS-CAT is able to accurately measure physics problem-solving skills. Students’ competences in physics problem solving can be mapped as 6% of the very high category, 4% of the high category, 36% of the medium category, 36% of the low category, and 18% of the very low category. This shows that the majority of the students’ competences in physics problem solving lies within the categories of medium and low.

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Gourlay, Helen. "Using concept mapping to learn about A level physics students’ understandings of particle physics." EPJ Web of Conferences 182 (2018): 02050. http://dx.doi.org/10.1051/epjconf/201818202050.

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This article describes a small-scale piece of research using concept mapping to elicit A level students’ understandings of particle physics, which was presented in the Special Session on Physics Education and Outreach at ICNFP 2017. Fifty-nine Year 12 (16- and 17-year-old) students from two London schools participated in the research. The exercise took place during school physics lessons. Students were shown how to make a concept map and were provided with topic-specific key words. Their concept maps were analysed by identifying the knowledge propositions the students had represented, and comparing these with propositions developed from the examination specification they were studying. The only correct statement made by most of the students in both schools was that annihilation takes place when matter and antimatter collide, although some students may have been unable to distinguish between annihilation and pair production. A high proportion of students knew of up, down and strange quarks, and that the electron is a lepton. However, some students appeared to have a misconception that everything is made of quarks. Students found it harder to classify tau particles than they did electrons and muons. Where students made incorrect links about muons and tau particles their concept maps suggested that they thought they were mesons or quarks.

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Horowitz, Benjamin, Max Dornfest, Zarija Lukić, and Peter Harrington. "hyphy: Deep Generative Conditional Posterior Mapping of Hydrodynamical Physics." Astrophysical Journal 941, no. 1 (December 1, 2022): 42. http://dx.doi.org/10.3847/1538-4357/ac9ea7.

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Abstract Generating large-volume hydrodynamical simulations for cosmological observables is a computationally demanding task necessary for next-generation observations. In this work, we construct a novel fully convolutional variational autoencoder (VAE) to synthesize hydrodynamic fields conditioned on dark matter fields from N-body simulations. After training the model on a single hydrodynamical simulation, we are able to probabilistically map new dark-matter-only simulations to corresponding full hydrodynamical outputs. By sampling over the latent space of our VAE, we can generate posterior samples and study the variance of the mapping. We find that our reconstructed field provides an accurate representation of the target hydrodynamical fields as well as reasonable variance estimates. This approach has promise for the rapid generation of mocks as well as for implementation in a full inverse model of observed data.

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Jones, M. R., T. J. Rogers, and E. J. Cross. "Constraining Gaussian processes for physics-informed acoustic emission mapping." Mechanical Systems and Signal Processing 188 (April 2023): 109984. http://dx.doi.org/10.1016/j.ymssp.2022.109984.

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Hughes, Tyler W., Ian A. D. Williamson, Momchil Minkov, and Shanhui Fan. "Wave physics as an analog recurrent neural network." Science Advances 5, no. 12 (December 2019): eaay6946. http://dx.doi.org/10.1126/sciadv.aay6946.

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Analog machine learning hardware platforms promise to be faster and more energy efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natural candidate for building analog processors for time-varying signals. Here, we identify a mapping between the dynamics of wave physics and the computation in recurrent neural networks. This mapping indicates that physical wave systems can be trained to learn complex features in temporal data, using standard training techniques for neural networks. As a demonstration, we show that an inverse-designed inhomogeneous medium can perform vowel classification on raw audio signals as their waveforms scatter and propagate through it, achieving performance comparable to a standard digital implementation of a recurrent neural network. These findings pave the way for a new class of analog machine learning platforms, capable of fast and efficient processing of information in its native domain.

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Saat, Shahrizal, WN Abd Rashid, MZM Tumari, and MS Saealal. "HECTORSLAM 2D MAPPING FOR SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM)." Journal of Physics: Conference Series 1529 (April 2020): 042032. http://dx.doi.org/10.1088/1742-6596/1529/4/042032.

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HEYDARI, HOSHANG. "ALGEBRAIC STRUCTURES OF MULTIPARTITE QUANTUM SYSTEMS." International Journal of Quantum Information 09, no. 01 (February 2011): 555–61. http://dx.doi.org/10.1142/s0219749911005515.

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We investigate the relation between multilinear mappings and multipartite states. We show that the isomorphism between multilinear mapping and tensor product completely characterizes decomposable multipartite states in a mathematically well-defined manner.

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Gao, Wei, Tian Wei Xu, Li Liang, and Jian Hou Gan. "Supervised Multidimensional Scaling for Ontology Similarity Measure and Ontology Mapping via Multi-Dividing." Advanced Materials Research 748 (August 2013): 1051–58. http://dx.doi.org/10.4028/www.scientific.net/amr.748.1051.

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Ontology similarity calculation and ontology mapping are crucial research topics in information retrieval. Ontology, as a concept structure model, is also widely used in biology, physics, geography and social sciences. In this paper, we propose new algorithms for ontology similarity measurement and ontology mapping using supervised multidimensional scaling and multi-dividing technologies. Two experimental results show that the proposed new algorithm has high accuracy and efficiency on ontology similarity calculation and ontology mapping in certain applications.

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Anafitriani, Anafitriani, Baiq Azmi Sukroyanti, and Lovy Herayanti. "The Effect of Mind Mapping Media toward Physics Concepts Understanding." Lensa : Jurnal Kependidikan Fisika 7, no. 1 (June 30, 2019): 6. http://dx.doi.org/10.33394/j-lkf.v7i1.1903.

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Science learning carried out by teachers mostly uses conventional methods and rarely uses media in the activities of their teaching and learning process. Media mind mapping in physics learning can be used to describe a lot of material and can package it to be more interesting. The aim of this research to determine the effect of mind mapping media toward the students’ concept understanding. This study used quasi-experimental research with pretest and posttest control group design. The population used was all students of class X in SMA Negeri 1 Lingsar at 2018/2019 Academic Year. The number of samples are 32 students for the experiment class and 33 students for the control class taken by purposive sampling technique. Data analysis technique used is the t-test using IBM SPSS Statistics 22. Based on the results of hypothesis testing (t test), it is known that the significance value of the posttest data (0.00) is smaller than alpha testing (0.05), so it can be stated that the mind mapping learning method influences the students' understanding of concepts.

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Lees, A., R. Betti, J. P. Knauer, V. Gopalaswamy, D. Patel, K. M. Woo, K. S. Anderson, et al. "Understanding the fusion yield dependencies in OMEGA DT-layered implosion experiments using a physics-based statistical mapping model." Physics of Plasmas 30, no. 1 (January 2023): 012709. http://dx.doi.org/10.1063/5.0106515.

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Improving the performance of inertial confinement fusion implosions requires physics models that can accurately predict the response to changes in the experimental inputs. Good predictive capability has been demonstrated for the fusion yield using a statistical mapping of simulated outcomes to experimental data [Gopalaswamy et al., Nature 565(771), 581–586 (2019)]. In this paper, a physics-based statistical mapping approach is used to extract and quantify all the major sources of degradation of fusion yield for direct-drive implosions on the OMEGA laser. The yield is found to be dependent on the age of the deuterium tritium fill, the [Formula: see text] asymmetry in the implosion core, the laser beam-to-target size ratio, and parameters related to the hydrodynamic stability. A controlled set of experiments were carried out where only the target fill age was varied while keeping all other parameters constant. The measurements were found to be in excellent agreement with the fill age dependency inferred using the mapping model. In addition, a new implosion design was created, guided by the statistical mapping model by optimizing the trade-offs between increased laser energy coupling at larger target size and the degradations caused by the laser beam-to-target size ratio and hydrodynamic instabilities. When experimentally performed, an increased fusion yield was demonstrated in targets with larger diameters.

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Frasinski, Leszek J. "Covariance mapping techniques." Journal of Physics B: Atomic, Molecular and Optical Physics 49, no. 15 (July 5, 2016): 152004. http://dx.doi.org/10.1088/0953-4075/49/15/152004.

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Daskaloyannis, C., Dennis Bonatsos, and K. Kanakoglou. "Parafermionic mapping of the two-colour delta model of interacting quarks." HNPS Proceedings 10 (December 5, 2019): 256. http://dx.doi.org/10.12681/hnps.2195.

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Vassilyev, I. L., and V. V. Dovgodilin. "Mapping using <i>p</i>-holomorphic functions." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 58, no. 4 (January 1, 2023): 351–57. http://dx.doi.org/10.29235/1561-2430-2022-58-4-351-357.

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In this paper, the properties of p-holomorphic maps are considered. An analog of Rolle’s theorem and a global p-diffeomorphism theorem for p-holomorphic functions are found. A modified Carathéodoryʼs theorem (conformal mapping) for p-holomorphic mappings is obtained. We prove the theorems of the mapping of rectangular domains and the compact exhaustion of bounded domains.

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Rutten, René G. M. "Eclipse mapping and related techniques." Symposium - International Astronomical Union 176 (1996): 69–84. http://dx.doi.org/10.1017/s007418090008311x.

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Eclipse mapping is a technique to deduce spatial structure on very small angular scales in eclipsing cataclysmic variable stars (CVs). By analysing the eclipse light curve, information is obtained on the brightness structure of the accretion disk and of the compact mass-accreting object in these systems. This information would otherwise be well beyond the resolving power of any optical telescope. Since the development of the eclipse mapping technique by K. Horne, about one decade ago, it has now become an important tool in the study of CVs. Originally eclipse mapping was employed to construct brightness maps of accretion disks in broad spectral bands. Recently, maps of much higher spectral resolution have become available from which optical and UV spectra have been reconstructed in spatial detail across accretion disks. Such information is very important for our understanding of the physics of the accretion process.In this paper I will describe the eclipse mapping technique and review recent results. In conjunction, I will briefly highlight other techniques related to the mapping of surface structure in CVs.

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Abergel, David. "Mapping the moiré." Nature Physics 14, no. 10 (October 2018): 972. http://dx.doi.org/10.1038/s41567-018-0323-5.

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Clery, Daniel. "Mapping the cosmos." Physics World 22, no. 04 (April 2009): 8. http://dx.doi.org/10.1088/2058-7058/22/04/14.

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Tambe, Nikhil S., and Bharat Bhushan. "Nanoscale friction mapping." Applied Physics Letters 86, no. 19 (May 9, 2005): 193102. http://dx.doi.org/10.1063/1.1923179.

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Day, Charles. "Mapping galactic positrons." Physics Today 61, no. 2 (February 2008): 18. http://dx.doi.org/10.1063/1.4796765.

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Fan, Xiaohui, and David Law. "Mapping the heavens." Physics World 30, no. 1 (January 2017): 48–49. http://dx.doi.org/10.1088/2058-7058/30/1/48.

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Mikeš, Josef, Hana Chudá, and Irena Hinterleitner. "Conformal holomorphically projective mappings of almost Hermitian manifolds with a certain initial condition." International Journal of Geometric Methods in Modern Physics 11, no. 05 (May 2014): 1450044. http://dx.doi.org/10.1142/s0219887814500443.

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In this paper, we study holomorphically projective and conformal holomorphically projective mappings between almost Hermitian manifolds Hn = (M, g, F) and [Formula: see text], i.e. diffeomorphism [Formula: see text] satisfying f = f1 ◦ f2 ◦ f3, where f1, f3 are conformal mappings and f2 is a holomorphically projective mapping between almost Hermitian manifolds. We obtain fundamental equations of Cauchy type for holomorphically projective mappings between almost Hermitian manifolds and for above-mentioned mappings a new result for the initial condition [Formula: see text].

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Zhao, Zhihao, Lei Zhang, Feng Feng, Wei Zhang, and Qi-Jun Zhang. "Space Mapping Technique Using Decomposed Mappings for GaN HEMT Modeling." IEEE Transactions on Microwave Theory and Techniques 68, no. 8 (August 2020): 3318–41. http://dx.doi.org/10.1109/tmtt.2020.3004622.

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Nilsson, G. E. "Tissue blood flow mapping." Physica Scripta T72 (January 1, 1997): 83–86. http://dx.doi.org/10.1088/0031-8949/1997/t72/011.

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BIANUCCI, MARCO, RICCARDO MANNELLA, PAOLO GRIGOLINI, and BRUCE J. WEST. "THE LINEAR RESPONSE APPROACH TO THE FOKKER-PLANCK EQUATION III: A DETERMINISTIC AND CHAOTIC BOOSTER." International Journal of Modern Physics B 08, no. 09 (April 20, 1994): 1225–46. http://dx.doi.org/10.1142/s0217979294000580.

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We apply the theory developed in I1 to two deterministic nonlinear systems with few degrees of freedom (mappings). The first mapping considered is known to exactly satisfy the prescriptions laid down in I to obtain the Fokker-Planck equation associated to Brownian motion. For the second mapping, due to its more complex form, it is not possible to prove analytically that it too satisfies the prescriptions of I; however, we show numerically that this fact is plausible, at least in the chaotic regime. For both cases we show that indeed Brownian motion for the variable of interest w arises. We conclude arguing that the theory developped in I is generally applicable to systems for which the “thermal bath” is in a fully chaotic state.

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Rorrer, Nicholas A., and John R. Dorgan. "Finding the Missing Physics: Mapping Polydispersity into Lattice-Based Simulations." Macromolecules 47, no. 9 (April 30, 2014): 3185–91. http://dx.doi.org/10.1021/ma5001207.

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Li, Yongxin, Chunbiao Li, Yibo Zhao, and Sicong Liu. "Memristor-type chaotic mapping." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 2 (February 2022): 021104. http://dx.doi.org/10.1063/5.0082983.

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Linder, Eric V. "Mapping the Dark Energy Equation of State." Symposium - International Astronomical Union 216 (2005): 59–66. http://dx.doi.org/10.1017/s0074180900196500.

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The acceleration of the expansion of the universe has deep implications for structure formation, the composition of the universe, and its fate. Roughly 70% of the energy density is in a dark energy, whose nature remains unknown. Mapping the expansion history through supernovae, mapping the geometry of the universe and formation of structure through redshift surveys, and mapping the distance to recombination through the cosmic microwave background provide complementary, precise probes of the equation of state of the dark energy. Together these next generation maps of the cosmos can reveal not only the value today, but the redshift variation, of the equation of state, providing a critical clue to the underlying physics.

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Kunz, Martin. "Mapping completeness." IUCrJ 8, no. 6 (November 1, 2021): 855–56. http://dx.doi.org/10.1107/s2052252521011106.

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Ghaderi, Aref, Vahid Morovati, and Roozbeh Dargazany. "A Physics-Informed Assembly of Feed-Forward Neural Network Engines to Predict Inelasticity in Cross-Linked Polymers." Polymers 12, no. 11 (November 9, 2020): 2628. http://dx.doi.org/10.3390/polym12112628.

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In solid mechanics, data-driven approaches are widely considered as the new paradigm that can overcome the classic problems of constitutive models such as limiting hypothesis, complexity, and accuracy. However, the implementation of machine-learned approaches in material modeling has been modest due to the high-dimensionality of the data space, the significant size of missing data, and limited convergence. This work proposes a framework to hire concepts from polymer science, statistical physics, and continuum mechanics to provide super-constrained machine-learning techniques of reduced-order to partly overcome the existing difficulties. Using a sequential order-reduction, we have simplified the 3D stress–strain tensor mapping problem into a limited number of super-constrained 1D mapping problems. Next, we introduce an assembly of multiple replicated neural network learning agents (L-agents) to systematically classify those mapping problems into a few categories, each of which were described by a distinct agent type. By capturing all loading modes through a simplified set of dispersed experimental data, the proposed hybrid assembly of L-agents provides a new generation of machine-learned approaches that simply outperform most constitutive laws in training speed, and accuracy even in complicated loading scenarios. Interestingly, the physics-based nature of the proposed model avoids the low interpretability of conventional machine-learned models.

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