Relevant bibliographies by topics / Semi-empirical

Academic literature on the topic 'Semi-empirical'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Semi-empirical"

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Murrell, John N. "Semi-empirical electronic structure methods." Journal of Molecular Structure: THEOCHEM 424, no. 1-2 (February 1998): 93–99. http://dx.doi.org/10.1016/s0166-1280(97)00234-0.

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Chudnovsky, A., and M. Ben Ouezdon. "Semi-empirical crack tip analysis." International Journal of Fracture 37, no. 1 (May 1988): 3–11. http://dx.doi.org/10.1007/bf00017819.

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Xu, Zhichen, Xiaodong Zhang, and Lin Sun. "Semi-empirical Multiprocessor Performance Predictions." Journal of Parallel and Distributed Computing 39, no. 1 (November 1996): 14–28. http://dx.doi.org/10.1006/jpdc.1996.0151.

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Bilous, Andrii, Viktor Myroniuk, Viktor Svynchuk, Oleksandr Soshenskyi, Oleksandr Lesnik, and Yaroslav Kovbasa. "Semi-empirical estimation of log taper using stem profile equations." Journal of Forest Science 67, No. 7 (July 20, 2021): 318–27. http://dx.doi.org/10.17221/209/2020-jfs.

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In January 2019 the forest industry in Ukraine adopted European standards for measuring and grading of round wood based on mid-point diameters, which caused major discrepancies from traditionally used estimates of timber volume using top diameters. To compare methods of merchantable wood volume estimation, we investigated the stem form inside bark for two dominant tree species in Ukraine, i.e. Scots pine (Pinus sylvestris L.) and common oak (Quercus robur L.). We used tree stem measurements to fit stem profile equations, whereas simulation was applied to derive log taper. We found that Newnham's (1992) variable-exponent taper equation performed well for predicting stem taper for both tree species. Then, we simulated the structure of harvested wood, so that it replicated annual distribution of logs by their length and diameters. As a result, the average log taper was estimated at 0.836 ÷ 0.855 cm·m<sup>–1</sup> and 1.180 ÷ 0.121 cm·m<sup>–1</sup> for pine and oak, respectively. The study also indicated that log taper varied along stems. The higher rates of diameter decrease were found for butt logs, for which the taper was 2.5–3.5 times higher than its average for the whole stem. The results of our study ensure the stacked round wood volume conversion between estimates obtained using top and mid-point diameters.
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Joshi, A., Pushpa Kumari, and M. L. Sharma. "Synthesis of Strong Ground Motion Using Modified Semi-Empirical Technique." International Journal of Engineering and Technology 4, no. 4 (2012): 424–26. http://dx.doi.org/10.7763/ijet.2012.v4.401.

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Traub, Lance. "Semi-Empirical Prediction of Airfoil Hysteresis." Aerospace 3, no. 2 (March 24, 2016): 9. http://dx.doi.org/10.3390/aerospace3020009.

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Kollár, Mojmír, and Evangelos Hristoforou. "Semi-empirical magnetostrictive delay line modelling." Journal of Magnetism and Magnetic Materials 320, no. 20 (October 2008): e1057-e1060. http://dx.doi.org/10.1016/j.jmmm.2008.04.108.

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Gibson, John K., Richard G. Haire, and Toru Ogawa. "Semi-empirical models of actinide alloying." Journal of Nuclear Materials 273, no. 2 (July 1999): 139–45. http://dx.doi.org/10.1016/s0022-3115(99)00038-0.

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Javanainen, Arto, Veronique Ferlet-Cavrois, Jukka Jaatinen, Heikki Kettunen, Michele Muschitiello, Francesco Pintacuda, Mikko Rossi, James R. Schwank, Marty R. Shaneyfelt, and Ari Virtanen. "Semi-Empirical Model for SEGR Prediction." IEEE Transactions on Nuclear Science 60, no. 4 (August 2013): 2660–65. http://dx.doi.org/10.1109/tns.2012.2236105.

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Zudin, Yu B. "Semi-empirical model for intense evaporation." Thermophysics and Aeromechanics 24, no. 4 (July 2017): 523–36. http://dx.doi.org/10.1134/s0869864317040035.

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Dissertations / Theses on the topic "Semi-empirical"

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Keal, Thomas W. "Development of semi-empirical exchange-correlation functionals." Thesis, Durham University, 2005. http://etheses.dur.ac.uk/2870/.

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Kohn-Sham density functional theory (DFT) is the most widely-used method for quantum chemical calculations. For most chemical properties it offers relatively accurate results for a relatively low computational cost. This accuracy is governed by the quality of the exchange-correlation functional used. The development and assessment of new functionals is a vital aspect of DFT research, and is the focus of this thesis. In Chapter 1, the theory of traditional wavefunction-based quantum chemistry methods and of DFT is outlined, and the two approaches compared and contrasted. Chapter 2 considers the relatively poor performance of conventional DFT functionals for NMR shielding constants. A simple generalised gradient approximation (GGA) functional, denoted KTl, is developed, which improves this performance significantly. A more flexible functional fitted to experimental energetic data, denoted KT2, is also presented. In Chapter 3, KTl and KT2 are assessed for other magnetic properties, such as chemical shifts, magnetisabilities, and indirect spin-spin coupling constants. Chapter 4 details the development of a third GGA denoted KT3, which is designed to address the shortcomings of KT2 for non-magnetic properties. In Chapter 5, the more flexible functional form of KT3 is shown to give results competitive with the best GGAs for a wide range of chemical properties and for solid state calculations. In Chapter 6, we attempt to improve performance for classical chemical reaction barriers, for which KT3 is relatively poor. This requires a more flexible form in the resulting GGA functional, denoted KT4. A hybrid functional, B97- 3, is also developed with a similar emphasis on reaction barriers. Chapter 7 presents an extensive chemical assessment for KT4 and B97-3. For the systems considered, B97-3 is shown to be the most accurate semi-empirical functional developed to date. Concluding remarks are presented in Chapter 8.
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Elder, Warren James. "Semi-empirical modelling of SiGe hetero-structures." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9816.

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The k . p perturbation method, initially developed for bulk systems has subsequently been generalised to model heterostructures using the envelope function approximation. This semi-empirical modelling technique provides vital information on the electronic and optical properties of complicated material systems that form heterostructures. It is known that k . p theory can be formulated in two ways; either through use of single or double group basis functions, with the implication that spin orbit interaction is either treated as a perturbation in parallel with the k . p term, or as part of the unperturbed Hamiltonian. The critical difference between the two approaches is that under the former, single group selection rules are considered in the evaluation of the k-dependent Hamiltonian, and the subsequent treatment of spin orbit interaction as a perturbation places restrictions on the adapted double group bases. Under the latter approach, double group selection rules are considered, resulting in an explicit change in the k-dependent Hamiltonian for multiband models of 14-band models or higher, and implicit changes to material parameters describing lower band models. A key result, is the ability of the double group formulated k . π theory to properly account for the experimentally measured spin orbit band and conduction band effective masses. This in particular leads to a change in the bulk valence band dispersion relation. In heterostructures, double group-effective mass equations result in changes to the operator ordered Hamiltonian, and the use of double group material parameters impacts the confinement energies and in-plane dispersion of subbands in a quantum well. An investigation is made into the impact of these changes on the electronic properties of Ge/SiGe heterostructures, which have applications as optical modulator devices.
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Umsrithong, Anake. "Deterministic and Stochastic Semi-Empirical Transient Tire Models." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26270.

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The tire is one of the most important components of the vehicle. It has many functions, such as supporting the load of the vehicle, transmitting the forces which drive, brake and guide the vehicle, and acting as the secondary suspension to absorb the effect of road irregularities before transmitting the forces to the vehicle suspension. A tire is a complex reinforced rubber composite air container. The structure of the tire is very complex. It consists of several layers of synthetic polymer, many flexible filaments of high modulus cord, and glass fiber, which are bonded to a matrix of low modulus polymeric material. As the tire is the only component of the vehicle which makes contact with the road surface, almost all forces and moments acting on the vehicle must be transferred by the tire. To predict the dynamics of the vehicle, we need to know these forces and moments generated at the tire contact patch. Therefore, tire models that accurately describe this dynamic behavior are needed for vehicle dynamic simulation. Many researchers developed tire models for vehicle dynamic simulations; however, most of the development in tire modeling has been limited to deterministic steady-state on-road tire models. The research conducted in this study is concerned with the development of semi-empirical transient tire models for on-road and off-road vehicle simulations. The semi-empirical transient tire model is developed based on existed tire models, analytical tire structure mechanics analysis, and experimental data collected by various researchers. The tire models were developed for vehicle traction, handling and ride analysis. The theoretical mechanics analysis of the tire model focused on the determination of tire and terrain deformation. Then, the results are used together with empirical data to calculate the force response and the moment response. Moreover, the influence of parametric uncertainties in tire parameters on the tire-terrain interaction is investigated. The parametric uncertainties are quantified and propagated through the tire models using a polynomial chaos theory with a collocation approach. To illustrate the capabilities of the tire models developed, both deterministic and stochastic tire models are simulated for various scenarios and maneuvers. Numerically simulated results are analyzed from the perspective of vehicle dynamics. Such an analysis can be used in tire and vehicle development and design.
Ph. D.
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Sirbone, Fabio Renato Camargo. "Modelagem semi-empírica de compressores herméticos alternativos." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18147/tde-18072007-111535/.

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Neste trabalho aplica-se um método semi-empírico que utiliza uma técnica de otimização não linear para determinação das eficiências volumétrica e combinada do compressor hermético alternativo. Relações para estimar aproximadamente o fluxo de massa e a potência elétrica do compressor também são propostas. Todas estas características do compressor são calculadas através das relações físicas do modelo, empregadas nos cálculos de otimização. O método é implementado no software EES (Engineering Equation Solver) e baseia-se nos trabalhos de Jahing (1999) e Jahing et al. (2000). No presente método, cinco medições experimentais do fluxo de massa e potência elétrica são suficientes para determinar os parâmetros de ajuste do modelo. Este procedimento permite a geração de mapas de compressores satisfatórios sem a necessidade de um maior número de dados experimentais como no caso da norma ARI 540. Estes resultados obtidos com o modelo podem ser usados para o projeto de novos compressores.
In the present work is applied a semi-empirical method that uses a non-linear optimization technique for determination of the volumetric and combined efficiencies of hermetic reciprocating compressor. Relations to approximately estimate the mass flow and the electric power of the compressor are also proposed. All these compressor characteristics are calculated through physical model relations, used in the optimization calculations. The method is implemented in the EES (Engineering Equation Solver) software and is based on the works of Jahing (1999) and Jahing et al. (2000). In the method, four experimental measurements of the mass flow and electric power are enough to determine the fitting parameters of the model. This procedure allows the generation of satisfactory compressor maps without the necessity of a higher number of experimental data, as in the case of norm ARI 540 application. The results obtained with the model can be used for the design of new compressors.
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Petersson, Emil. "Study of semi-empirical methods for ship resistance calculations." Thesis, Uppsala universitet, Tillämpad mekanik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413700.

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In the early ship design process a quick overview of which shipdesign that could be the optimal choice for the intended usage needsto be investigated. Therefore the feasibility and accuracy ofinterpolating between measurement data from model resistance serieswhen estimating unknown hulls were conducted. A parametric study wasundertaken in order to investigate which parameters carry the mostimportance in regard to calm water resistance for semi-displacinghulls. In order to asses the whole estimation process one semidisplacing ship (FDS-5) and one bulk carrier with a bulbous bow (JBC)were estimated in regard to calm water resistance by using semiempirical methods and were later compared with CFD results. The CFDresults came from a in part parallel conducted work. The resultsshowed that it is possible to estimate the total resistance withsemi-empirical methods to an unknown hull by linear interpolationwith an accuracy of below 5% in the designed speed interval both forFDS-5 and JBC. The CFD simulations achieved a lower accuracy comparedto the semi-empirical approach, however by furhter calibrating themodels, the accuracy could potentially be improved. Linearinterpolation between two hulls in order to estimate an unknown hull,is only advised when the hulls are nearly identical. Meaning that thehulls must be of the same ship type and that only one parameter isallowed to differ compared to the unknown hull. The parametric studyresulted in parameter importance in falling order: Slenderness ratio,length-beam ratio, longitudinal prismatic coefficient, blockcoefficient and beam-draught ratio. Even though the CFD approach notyet is completely reliable, it could still be a useful complement tothe semi-empirical approach by calculating parameters such as adynamic wetted surface, resistance due to appendages or airresistance of the full-scale ship. Simply by incrementally increasingthe accuracy of individual resistance components an overallimprovement could potentially be achieved.
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Allison, Anne-Marie E. "Analytical investigation of a semi-empirical flow-induced vibration model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0014/NQ31170.pdf.

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Ford, D. C. "A semi-empirical model of the spectra of dusty galaxies." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599112.

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In this thesis, a semi-empirical model for the infrared emission of dust around star-forming sites in galaxies is developed and then applied to fitting a variety of observations. A simple model of radiative transport in dust clouds is combined with a state-of-the-art model of the microscopic optical properties of interstellar dust grains. In combination with the STARBURST99 stellar spectral synthesis package, this framework is able to produce synthetic spectra for galaxies which extend from the Lyman limit through to the far-infrared. Models of radiative transport in dusty media and of the optical properties of dust grains both have potential to be computationally time-consuming. This has restricted previous semi-empirical models to include detailed considerations of only one of these. In this thesis, a minimal set of simplifications are adopted in the treatment of radiative transport, such that the use of a state-of-the-art model of dust grain energetics is computationally tractable. Following an initial exploration of the predictions of the model, it is applied to fitting the spectra of M82, Arp220 and NGC 6381. M82 and Arp220 are chosen for study because they are nearby starburst galaxies, and test the ability of our model to fit extreme systems. In both cases, we need to remove some of the smallest grains from our model to fit their mid-infrared spectra, but achieve an excellent fit after doing so. NGC 6381 is chosen because it is the only NGC or UGC galaxy within the xFLS field. From our model fit, we infer a flat star formation history over the past (150±50)Myr with star-formation rate (4.69 ± 0.37) M⊙ yr-1, and that these stars are surrounded by a column density (6 ± 1) x 1025 Hm-2  of material and an old stellar population of mass (95 ± 5) x 109 M⊙.
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Saeed, Awat Abdulla. "Empirical evaluation of semi-supervised naïve Bayes for active learning." Thesis, University of East Anglia, 2018. https://ueaeprints.uea.ac.uk/67655/.

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This thesis describes an empirical evaluation of semi-supervised and active learning individually, and in combination for the naïve Bayes classifier. Active learning aims to minimise the amount of labelled data required to train the classifier by using the model to direct the labelling of the most informative unlabelled examples. The key difficulty with active learning is that the initial model often gives a poor direction for labelling the unlabelled data in the early stages. However, using both labelled and unlabelled data with semi-supervised learning might be achieve a better initial model because the limited labelled data are augmented by the information in the unlabelled data. In this thesis, a suite of benchmark datasets is used to evaluate the benefit of semi-supervised learning and presents the learning curves for experiments to compare the performance of each approach. First, we will show that the semi-supervised naïve Bayes does not significantly improve the performance of the naïve Bayes classifier. Subsequently, a down-weighting technique is used to control the influence of the unlabelled data, but again this does not improve performance. In the next experiment, a novel algorithm is proposed by using a sigmoid transformation to recalibrate the overly confident naïve Bayes classifier. This algorithm does not significantly improve on the naïve Bayes classifier, but at least does improve the semi-supervised naïve Bayes classifier. In the final experiment we investigate the effectiveness of the combination of active and semi-supervised learning and empirically illustrate when the combination does work, and when does not.
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Fu, Jie. "Developing semi-empirical ab initio based potentials in materials modeling." Licentiate thesis, KTH, Kondenserade materiens teori, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190125.

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Ab initiocalculation based on density function theory (DFT) is an accu-rate and efficient method for modelling material properties. It is performedby solving the Shrödinger equations with a few assumptions to obtain thephysical properties of the system. It is very computational demanding whendealing with large systems or long-time simulations. Developing empiricalpotentials on the basis ofab initiocalculations on smaller systems is a possi-ble way to solve this problem. The empirical potentials will benefit from theaccuracy ofab initiosimulations and can facilitate applications to large sys-tems and long-time simulations. In this thesis, we have performed two studiesregarding fitting empirical potentials: one is fitting an empirical Sutton-Chenpotential based onab initiosimulations for iron under extreme conditionsand the other one is fitting an improved Finnis-Sinclair potential for ternaryV-Ti-Cr alloy.In the first part, we focus on fitting a Sutton-Chen potential for solid Feunder the Earth’s inner core condition. Based onab initiomolecular dynam-ics (MD) simulation results, the Sutton-Chen potential is fitted to energies ofthe configurations obtained fromab initioMD simulations at the pressure of360 GPa and temperature of 6000 K. The method applied for the fitting isthe Particle Swarm Optimization (PSO) algorithm. The Sutton-Chen poten-tial can reproduce theab initioenergies with an error of 6.2 meV/atom. Setas the same withab initioMD simulations, classical MD using Sutton-Chenpotential can obtain the consistent results with those fromab initioMD sim-ulations at the pressure of 360 GPa and temperature of 6000 K. In order toexplore the size effect on the results, we extend the classical MD to large-sizesystems (from 1024 atoms to 65536 atoms). We also extend the temperaturerange to see the temperature effect on the results.In the second part, we develop an improved Finnis-Sinclair (IFS) potentialfor ternary V-Ti-Cr alloys. The interaction parameters of V-V, Ti-Ti andCr-Cr are fitted to the experimental lattice constants, cohesive energies andelastic constants. The binary alloy potential parameters are obtained byconstructing 3 binary alloy models (V15Ti, V15Cr, V8Ti8) and fitting to theirtheoretical lattice constants, cohesive energies and elastic constants. Finally,the IFS potential is successfully used to calculate mechanical properties andthe monovacancy formation energy in V-Ti-Cr alloy. It is also applied toinvestigate the composition effect on the mechanical properties of ternaryV-Ti-Cr alloys.

QC 20160815

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Razali, Rozilawati. "Usability of semi-formal and formal methods integration : empirical assessments." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/265391/.

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Books on the topic "Semi-empirical"

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Semi-empirical methods of quantum chemistry. Chichester: Ellis Horwood, 1985.

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H, Bakker. Enthalpies in alloys: Miedemas̓ semi-empirical model. Uetikon-Zuerich, Switzerland: Trans Tech Publications, 1998.

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Nadachowski, Franciszek. Refractory corrosion by slags : a semi-empirical classification. Cracow: Akademia Górniczo-Hutnicza im. Stanisława Staszica, 1991.

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Fullerton, Robert Roy. A semi-empirical method for calculating optimum propeller performance. [Toronto, Ont.]: Dept. of Aerospace Science and Engineering, 1992.

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Fullerton, Robert Roy. A semi-empirical method for calculating optimum propeller performance. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Fekete, Gary. Phonon spectra and thermodynamic properties of rare gas solids based on empirical and semi-empirical (ab initio) two-body potentials: A comparative study. St. Catharines, Ont: Brock University, Dept. of Physics, 2007.

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Lynch, Justin. An empirical study of the main factors that influence IT outsourcing in trading Irish semi state companies. Dublin: University College Dublin, Graduate School of Business, 1998.

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Guo, Lei. Semi-empirical prediction of pesticide loading in the Sacramento and San Joaquin Rivers during winter storm seasons. Sacramento: California Environmental Protection Agency, Dept. of Pesticide Regulation, Environmental Monitoring Branch, 2003.

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Semi-Empirical Neural Network Modeling. Elsevier Science & Technology, 2019.

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Semi-Empirical Neural Network Modeling and Digital Twins Development. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-02027-x.

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Book chapters on the topic "Semi-empirical"

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Ray, Hem Shanker, and Saradindukumar Ray. "Empirical and Semi-Empirical Kinetics." In Kinetics of Metallurgical Processes, 17–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0686-0_2.

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Younger, S. M., and T. D. Märk. "Semi-Empirical and Semi-Classical Approximations for Electron Ionization." In Electron Impact Ionization, 24–41. Vienna: Springer Vienna, 1985. http://dx.doi.org/10.1007/978-3-7091-4028-4_2.

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Zudin, Yuri B. "Semi-empirical Model of Strong Evaporation." In Non-equilibrium Evaporation and Condensation Processes, 83–102. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13815-8_4.

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Zudin, Yuri B. "Semi-empirical Model of Strong Evaporation." In Non-equilibrium Evaporation and Condensation Processes, 59–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67306-6_4.

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Humphrey, Jay D., and Sherry L. Delange. "Control Volume and Semi-empirical Methods." In An Introduction to Biomechanics, 491–554. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4899-0325-9_10.

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Zudin, Yuri B. "Semi-Empirical Model of Strong Evaporation." In Non-equilibrium Evaporation and Condensation Processes, 109–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67553-0_4.

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Humphrey, Jay D., and Sherry L. O’Rourke. "Control Volume and Semi-empirical Methods." In An Introduction to Biomechanics, 525–97. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2623-7_10.

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Rivail, Jean-Louis. "Molecular Modelling. Semi-Empirical and Empirical Methods of Theoretical Chemistry." In Computational Advances in Organic Chemistry: Molecular Structure and Reactivity, 229–59. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3262-6_4.

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Pal, Subodh Chandra, and Rabin Chakrabortty. "Soil Loss Estimation Using Different Empirical and Semi-empirical Models." In Climate Change Impact on Soil Erosion in Sub-tropical Environment, 67–87. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15721-9_5.

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Burie, J. R., M. Nonella, E. Nabedryk, P. Tavan, and J. Breton. "Semi Empirical Normal Mode Analysis of Naphtoquinones." In Fifth International Conference on the Spectroscopy of Biological Molecules, 27–28. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1934-4_9.

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Conference papers on the topic "Semi-empirical"

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Martin, T., M. Backstrom, and J. Loren. "Semi-empirical modeling of apertures." In 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003. EMC '03. IEEE, 2003. http://dx.doi.org/10.1109/icsmc2.2003.1429027.

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Celano, J., A. Hersh, and B. Walker. "Semi-empirical Helmholtz resonator impedance model." In 5th AIAA/CEAS Aeroacoustics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-1825.

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Wright, William, and Mark Potapczuk. "Semi-Empirical Modelling of SLD Physics." In 42nd AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-412.

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Nami, Ziba, Ahmet Erbil, and Gary S. May. "Semi-empirical MOCVD modeling using neural networks." In Microelectronic Manufacturing, edited by Barbara Vasquez and Hisao Kawasaki. SPIE, 1994. http://dx.doi.org/10.1117/12.186761.

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Amir, O., and I. Sabo-Napadensky. "Semi-empirical scattering correction model for MSCT." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.708860.

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Altgilbers, L. L. "Semi-empirical model for helical magnetocumulative generators." In IEEE Conference Record - Abstracts. PPPS-2001 Pulsed Power Plasma Science 2001. 28th IEEE International Conference on Plasma Science and 13th IEEE International Pulsed Power Conference (Cat. No.01CH37. IEEE, 2001. http://dx.doi.org/10.1109/ppps.2001.960839.

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Zhang, Xiaodong, and Zhichen Xu. "A semi-empirical approach to scalability study." In the 1995 ACM SIGMETRICS joint international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223587.223624.

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Guo, Yuanyuan, Xiaoda Niu, and Harry Zhang. "An Extensive Empirical Study on Semi-supervised Learning." In 2010 IEEE 10th International Conference on Data Mining (ICDM). IEEE, 2010. http://dx.doi.org/10.1109/icdm.2010.66.

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Mancini, Peter, Field H. Manar, and Anya R. Jones. "A Semi-Empirical Approach to Modeling Lift Production." In 53rd AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1748.

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Freeman, J., D. Tzeng, and R. Miller. "A semi-empirical model for propellant burn rates." In 37th Joint Propulsion Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-3939.

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Reports on the topic "Semi-empirical"

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Lundberg, Dennis L., K. T. Holland, and John C. Church. Validation of the Semi-Empirical Longshore Current Model. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada361204.

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Moriarty, P., and P. Migliore. Semi-Empirical Aeroacoustic Noise Prediction Code for Wind Turbines. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/15006098.

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Baskes, Michael I., and Anders David Andersson. Assessment of semi-empirical potentials for the U-Si system. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1237245.

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Sarlese, Justin A. Development of a Semi-Empirical Model for SEUs in Modern DRAMs. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada389756.

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Holder, Andrew J. Development of Semi-Empirical Parameters for the Group V and Group VI Elements. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada368352.

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Birenzvige, A., L. M. Sturdivan, G. R. Famini, P. N. Krishnan, and R. E. Morris. Predicting Polymer Properties by Computational Methods 2: A Comparison of Semi-Empirical Methods. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256856.

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Sutton, Eric K. Semi-Empirical, First-Principles, and Hybrid Modeling of the Thermosphere to Enhance Data Assimilation. Fort Belvoir, VA: Defense Technical Information Center, October 2015. http://dx.doi.org/10.21236/ad1003772.

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Safarik, Douglas, Michael Aloi, and Arthur Nobile, Jr. Semi-Empirical Material Model for Hydrogen Uptake Kinetics by 1,4-bis(phenylethynyl)benzene (DEB)-based Getters. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1673346.

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Salzberg, David H., and Margaret E. Marshall. Seismic Source Locations and Parameters for Sparse Networks by Matching Observed Seismograms to Semi-Empirical Synthetic Seismograms. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada481295.

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Kiv, A. E., T. I. Maximova, and V. N. Soloviev. Microstructure of the relaxed (001) Si surface. [б. в.], October 1999. http://dx.doi.org/10.31812/0564/1244.

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Abstract:
We have applied molecular dynamics method and semi-empirical potential [1] to obtain the realistic picture of Si surface layers relaxation. The starting configuration was taken as a parallelepiped containing 864 atoms. There were 12 layers with 72 atoms in each one. Periodic boundary conditions were used in two dimensions.
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