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Journal articles on the topic 'Computational fabrication'

Author: Grafiati

Published: 12 October 2024

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1

Benes, Bedrich, David J. Kasik, Wilmot Li, and Hao Zhang. "Computational Design and Fabrication." IEEE Computer Graphics and Applications 37, no. 3 (May 2017): 32–33. http://dx.doi.org/10.1109/mcg.2017.50.

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Zhu, Amy, Yuxuan Mei, Benjamin Jones, Zachary Tatlock, and Adriana Schulz. "Computational Illusion Knitting." ACM Transactions on Graphics 43, no. 4 (July 19, 2024): 1–13. http://dx.doi.org/10.1145/3658231.

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Illusion-knit fabrics reveal distinct patterns or images depending on the viewing angle. Artists have manually achieved this effect by exploiting "microgeometry," i.e., small differences in stitch heights. However, past work in computational 3D knitting does not model or exploit designs based on stitch height variation. This paper establishes a foundation for exploring illusion knitting in the context of computational design and fabrication. We observe that the design space is highly constrained, elucidate these constraints, and derive strategies for developing effective, machine-knittable illusion patterns. We partially automate these strategies in a new interactive design tool that reduces difficult patterning tasks to familiar image editing tasks. Illusion patterns also uncover new fabrication challenges regarding mixed colorwork and texture; we describe new algorithms for mitigating fabrication failures and ensuring high-quality knit results.

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Wang, L., and E. Whiting. "Buoyancy Optimization for Computational Fabrication." Computer Graphics Forum 35, no. 2 (May 2016): 49–58. http://dx.doi.org/10.1111/cgf.12810.

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Al-Rifaie, Hasan, Nejc Novak, Matej Vesenjak, Zoran Ren, and Wojciech Sumelka. "Fabrication and Mechanical Testing of the Uniaxial Graded Auxetic Damper." Materials 15, no. 1 (January 5, 2022): 387. http://dx.doi.org/10.3390/ma15010387.

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Auxetic structures can be used as protective sacrificial solutions for impact protection with lightweight and excellent energy-dissipation characteristics. A recently published and patented shock-absorbing system, namely, Uniaxial Graded Auxetic Damper (UGAD), proved its efficiency through comprehensive analytical and computational analyses. However, the authors highlighted the necessity for experimental testing of this new damper. Hence, this paper aimed to fabricate the UGAD using a cost-effective method and determine its load–deformation properties and energy-absorption potential experimentally and computationally. The geometry of the UGAD, fabrication technique, experimental setup, and computational model are presented. A series of dog-bone samples were tested to determine the exact properties of aluminium alloy (AW-5754, T-111). A simplified (elastic, plastic with strain hardening) material model was proposed and validated for use in future computational simulations. Results showed that deformation pattern, progressive collapse, and force–displacement relationships of the manufactured UGAD are in excellent agreement with the computational predictions, thus validating the proposed computational and material models.

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Noel, Vernelle AA, Yana Boeva, and Hayri Dortdivanlioglu. "The question of access: Toward an equitable future of computational design." International Journal of Architectural Computing 19, no. 4 (November 9, 2021): 496–511. http://dx.doi.org/10.1177/14780771211025311.

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Digital fabrication and its cultivated spaces promise to break disciplinary boundaries and enable access to its technologies and computation for the broader public. This paper examines the trope of “access” in digital fabrication, design, and craft, and illustrates how it unfolds in these spaces and practices. An equitable future is one that builds on and creates space for multiple bodies, knowledges, and skills; allows perceptual interaction and corporeal engagement with people, materials, and tools; and employs technologies accessible to broad groups of society. By conducting comparative and transnational ethnographic studies at digital fabrication and crafting sites, and performing craft-centered computational design studies, we offer a critical description of what access looks like in an equitable future that includes digital fabrication. The study highlights the need to examine universal conceptions and study how they are operationalized in broader narratives and design pedagogy traditions.

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Miodragovic Vella, Irina, and Sladjana Markovic. "Topological Interlocking Assembly: Introduction to Computational Architecture." Applied Sciences 14, no. 15 (July 23, 2024): 6409. http://dx.doi.org/10.3390/app14156409.

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Topological interlocking assembly (TIA) and computational architecture treat form as an emergent property of a material system, where the final shape results from the interplay of geometries and geometric interdependencies influenced by contextual constraints (material, structure, and fabrication). This paper posits that TIA is an ideal pedagogical tool for introducing students to computational architecture, and its theoretical foundations and design principles. Specifically, defining TIA as a material system provides a robust educational approach for engaging students with computation; fostering design processes through bottom-up, hands-on investigations; expressing design intents as procedural logic; understanding generative geometric rules; and exploring the flexibility of parametric variations. The methodology is detailed and illustrated through a design workshop and study unit from the Bachelor’s and Master’s programs at the Faculty for the Built Environment, University of Malta. Four case studies of TIA—of tetrahedra, cones, octahedra, and osteomorphic blocks—demonstrate how these exercises introduce students to computational thinking, parametric design, and fabrication techniques. This paper discusses the advantages and limitations of this pedagogical methodology, concluding that integrating computational architecture in education shifts students’ design processes to investigation and innovation-based approaches, enabling them to address contemporary design challenges through context-driven solutions.

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Santos, Ana, Yongjun Jang, Inwoo Son, Jongseong Kim, and Yongdoo Park. "Recapitulating Cardiac Structure and Function In Vitro from Simple to Complex Engineering." Micromachines 12, no. 4 (April 1, 2021): 386. http://dx.doi.org/10.3390/mi12040386.

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Cardiac tissue engineering aims to generate in vivo-like functional tissue for the study of cardiac development, homeostasis, and regeneration. Since the heart is composed of various types of cells and extracellular matrix with a specific microenvironment, the fabrication of cardiac tissue in vitro requires integrating technologies of cardiac cells, biomaterials, fabrication, and computational modeling to model the complexity of heart tissue. Here, we review the recent progress of engineering techniques from simple to complex for fabricating matured cardiac tissue in vitro. Advancements in cardiomyocytes, extracellular matrix, geometry, and computational modeling will be discussed based on a technology perspective and their use for preparation of functional cardiac tissue. Since the heart is a very complex system at multiscale levels, an understanding of each technique and their interactions would be highly beneficial to the development of a fully functional heart in cardiac tissue engineering.

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8

Jiang, Caigui, Hui Wang, Victor Ceballos Inza, Felix Dellinger, Florian Rist, Johannes Wallner, and Helmut Pottmann. "Using isometries for computational design and fabrication." ACM Transactions on Graphics 40, no. 4 (August 2021): 1–12. http://dx.doi.org/10.1145/3476576.3476586.

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Jiang, Caigui, Hui Wang, Victor Ceballos Inza, Felix Dellinger, Florian Rist, Johannes Wallner, and Helmut Pottmann. "Using isometries for computational design and fabrication." ACM Transactions on Graphics 40, no. 4 (August 2021): 1–12. http://dx.doi.org/10.1145/3450626.3459839.

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Wagner, Hans Jakob, Martin Alvarez, Abel Groenewolt, and Achim Menges. "Towards digital automation flexibility in large-scale timber construction: integrative robotic prefabrication and co-design of the BUGA Wood Pavilion." Construction Robotics 4, no. 3-4 (November 3, 2020): 187–204. http://dx.doi.org/10.1007/s41693-020-00038-5.

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AbstractThis paper discusses the digital automation workflows and co-design methods that made possible the comprehensive robotic prefabrication of the BUGA Wood Pavilion—a large-scale production case study of robotic timber construction. Latest research in architectural robotics often focuses on the advancement of singular aspects of integrated digital fabrication and computational design techniques. Few researchers discuss how a multitude of different robotic processes can come together into seamless, collaborative robotic fabrication workflows and how a high level of interaction within larger teams of computational design and robotic fabrication experts can be achieved. It will be increasingly important to discuss suitable methods for the management of robotics and computational design in construction for the successful implementation of robotic fabrication systems in the context of the industry. We present here how a co-design approach enabled the organization of computational design decisions in reciprocal feedback with the fabrication planning, simulation and robotic code generation. We demonstrate how this approach can implement direct and curated reciprocal feedback between all planning domains—paving the way for fast-paced integrative project development. Furthermore, we discuss how the modularization of computational routines simplify the management and computational control of complex robotic construction efforts on a per-project basis and open the door for the flexible reutilization of developed digital technologies across projects and building systems.

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Mesa, Olga, Saurabh Mhatre, and Dan Aukes. "CREASE: Synchronous gait by minimizing actuation through folded geometry." International Journal of Architectural Computing 18, no. 4 (August 4, 2020): 385–403. http://dx.doi.org/10.1177/1478077120948204.

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The Age of the Fourth Industrial Revolution promises the integration and synergy of disciplines to arrive at meaningful and comprehensive solutions. As computation and fabrication methods become pervasive, they present platforms for communication. Value exists in diverse disciplines bringing their approach to a common conversation, proposing demands, and potentials in response to entrenched challenges. Robotics has expanded recently as computational analysis, and digital fabrication methods are more accurate and reliable. Advances in functional microelectromechanical components have resulted in the design of new robots presenting alternatives to traditional ambulatory robots. However, most examples are the result of intense computational analysis necessitating engineering expertise and specialized manufacturing. Accessible fabrication methods like laminate techniques propose alternatives to new robot morphologies. However, most examples remain overly actuated without harnessing the full potential of folds for locomotion. Our research explores the connection between origami structures and kinematics for the generation of an ambulatory robot presenting efficient, controlled, and graceful gait with minimal use of components. Our robot ‘Crease’ achieves complex gait by harnessing kinematic origami chains rather than relying on motors. Minimal actuation activates the folds to produce variations in walk and direction. Integrating a physical iterative process with computational analysis, several prototypes were generated at different scales, including untethered ones with sensing and steering that could map their environment. Furthering the dialogue between disciplines, this research contributes not only to the field of robotics but also architectural design, where efficiency, adjustability, and ease of fabrication are critical in designing kinetic elements.

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Zhang, Li Nan, Wei Zheng, Cong Xiu Cheng, and Li Qun Wu. "Laser Controlled Dynamic Self-Assembly of Nanostructure." Journal of Nano Research 49 (September 2017): 225–31. http://dx.doi.org/10.4028/www.scientific.net/jnanor.49.225.

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This paper presents a three-dimensional dynamic model of laser controlled dynamic self-assembly of nanostructure. A phase field model is employed to study the surface fabrication of silicon which is induced by the laser. The mechanism of the surface fabrication is that the heating effect enhances surface diffusion mobility results in atoms outward flow. The computational model systematically integrate for high reliability of the whole analysis, the experimental and simulated measurements have been quantitatively investigated. A semi-implicit Fourier spectral scheme is applied for high efficiency and numerical stability. The performed simulations suggest a substantial potential of the presented model, which provides a reliable technology of nanostructure fabrications on the surface of silicon.

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Raji, Kochandra, and Choondal B. Sobhan. "Simulation and modeling of carbon nanotube synthesis: current trends and investigations." Nanotechnology Reviews 2, no. 1 (February 1, 2013): 73–105. http://dx.doi.org/10.1515/ntrev-2012-0038.

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AbstractA review of significant investigations reported on simulating the nucleation and growth processes of carbon nanotubes (CNTs) using different modeling techniques is presented here. Special emphasis is given to the chemical vapor deposition method, being the cheapest and most versatile of the fabrication methods. The modeling methods involve the conventional computational fluid dynamics approaches as well as discrete computation techniques. Some in-house investigations utilizing chemical kinetic modeling and discrete computations to predict the growth of CNTs using the chemical vapor deposition method are also discussed. The modeling and simulation techniques reviewed here are expected to assist in the design of chirality-specific single-walled CNT synthesis systems.

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Zhang, Yunbo, Emily Whiting, Cynthia Sung, and Charlie C. L. Wang. "Foreword to the Special Section on Computational Fabrication." Computers & Graphics 102 (February 2022): A6—A7. http://dx.doi.org/10.1016/j.cag.2022.02.002.

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15

Li, Jingyi, Michael Wessely, Sean Follmer, and Stefanie Mueller. "Summer School for Computational Fabrication and Smart Matter." IEEE Pervasive Computing 16, no. 4 (October 2017): 50–53. http://dx.doi.org/10.1109/mprv.2017.3971135.

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Birsak, Michael, Florian Rist, Peter Wonka, and Przemyslaw Musialski. "String Art: Towards Computational Fabrication of String Images." Computer Graphics Forum 37, no. 2 (May 2018): 263–74. http://dx.doi.org/10.1111/cgf.13359.

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17

Coros, Stelian, and Stefanie Mueller. "Foreword to the Special Section on Computational Fabrication." Computers & Graphics 75 (October 2018): A4. http://dx.doi.org/10.1016/j.cag.2018.07.008.

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18

Sugino, Yuya, Atsushi Ishikawa, Yasuhiko Hayashi, and Kenji Tsuruta. "Computational Design and Fabrication of Infrared Digital Metamaterials." Proceedings of The Computational Mechanics Conference 2017.30 (2017): 129. http://dx.doi.org/10.1299/jsmecmd.2017.30.129.

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19

Ladron de Guevara, Manuel, Luis Ricardo Borunda, Daragh Byrne, and Ramesh Krishnamurti. "Multi-resolution in architecture as a design driver for additive manufacturing applications." International Journal of Architectural Computing 18, no. 3 (June 2, 2020): 218–34. http://dx.doi.org/10.1177/1478077120924802.

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Additive manufacturing is evolving toward more sophisticated territory for architects and designers, mainly through the increased use of scripting tools. Recognizing this, we present a design and fabrication pipeline comprised of a class of techniques for fabrication and methods of design through discrete computational models. These support a process responsive to varied design intents: this structured workflow expands the design and fabrication space of any input shape, without having to explicitly deal with the complexity of discrete models beforehand. We discuss a multi-resolution-based methodology that incorporates discrete computational methods, spatial additive manufacturing with both robotic and commercial three-dimensional printers, as well as, a free-oriented technique. Finally, we explore the impact of computational power on design outcome, examining in-depth the concept of resolution as a design driver.

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20

Abramovich, Sergei. "Computational Triangulation in Mathematics Teacher Education." Computation 11, no. 2 (February 10, 2023): 31. http://dx.doi.org/10.3390/computation11020031.

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The paper is written to demonstrate the applicability of the notion of triangulation typically used in social sciences research to computationally enhance the mathematics education of future K-12 teachers. The paper starts with the so-called Brain Teaser used as background for (what is called in the paper) computational triangulation in the context of four digital tools. Computational problem solving and problem formulating are presented as two sides of the same coin. By revealing the hidden mathematics of Fibonacci numbers included in the Brain Teaser, the paper discusses the role of computational thinking in the use of the well-ordering principle, the generating function method, digital fabrication, difference equations, and continued fractions in the development of computational algorithms. These algorithms eventually lead to a generalized Golden Ratio in the form of a string of numbers independently generated by digital tools used in the paper.

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Taher, Ammar, Serdar Aşut, and Willem van der Spoel. "An Integrated Workflow for Designing and Fabricating Multi-Functional Building Components through Additive Manufacturing with Clay." Buildings 13, no. 11 (October 24, 2023): 2676. http://dx.doi.org/10.3390/buildings13112676.

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This article presents a project that explores the potential of Additive Manufacturing (AM) for designing and fabricating multi-functional building components for improved climate performance. In this project, an innovative façade wall design was developed by using a computational method in an attempt to integrate a displacement ventilation system into the wall. A robotic AM solution is integrated into the workflow as a potentially feasible fabrication method for the resulting wall design with an intricate geometry. Clay is proposed as the AM material, being a potential low-carbon building material. To this end, a material exploration of clay was conducted to develop an appropriate composite for AM. A displacement ventilation system was developed to achieve better indoor air quality by using a Computational Fluid Dynamics (CFD) model. Subsequently, an AM solution was integrated into the workflow to automate the fabrication phase. Finally, a partial prototype of the design was made through AM with clay to demonstrate the feasibility and observe the material qualities of the final product. The proposed workflow proves applicable, highlighting directions for future research.

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SAILE, VOLKER. "FABRICATION OF POLYMER MICROSYSTEMS." International Journal of Computational Engineering Science 04, no. 02 (June 2003): 175–80. http://dx.doi.org/10.1142/s1465876303000867.

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23

Zhang, Zhan, Christopher Brandt, Jean Jouve, Yue Wang, Tian Chen, Mark Pauly, and Julian Panetta. "Computational Design of Flexible Planar Microstructures." ACM Transactions on Graphics 42, no. 6 (December 5, 2023): 1–16. http://dx.doi.org/10.1145/3618396.

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Mechanical metamaterials enable customizing the elastic properties of physical objects by altering their fine-scale structure. A broad gamut of effective material properties can be produced even from a single fabrication material by optimizing the geometry of a periodic microstructure tiling. Past work has extensively studied the capabilities of microstructures in the small-displacement regime, where periodic homogenization of linear elasticity yields computationally efficient optimal design algorithms. However, many applications involve flexible structures undergoing large deformations for which the accuracy of linear elasticity rapidly deteriorates due to geometric nonlinearities. Design of microstructures at finite strains involves a massive increase in computation and is much less explored; no computational tool yet exists to design metamaterials emulating target hyperelastic laws over finite regions of strain space. We make an initial step in this direction, developing algorithms to accelerate homogenization and metamaterial design for nonlinear elasticity and building a complete framework for the optimal design of planar metamaterials. Our nonlinear homogenization method works by efficiently constructing an accurate interpolant of a microstructure's deformation over a finite space of macroscopic strains likely to be endured by the metamaterial. From this interpolant, the homogenized energy density, stress, and tangent elasticity tensor describing the microstructure's effective properties can be inexpensively computed at any strain. Our design tool then fits the effective material properties to a target constitutive law over a region of strain space using a parametric shape optimization approach, producing a directly manufacturable geometry. We systematically test our framework by designing a catalog of materials fitting isotropic Hooke's laws as closely as possible. We demonstrate significantly improved accuracy over traditional linear metamaterial design techniques by fabricating and testing physical prototypes.

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24

Muslimin, Rizal. "Learning from Weaving for Digital Fabrication in Architecture." Leonardo 43, no. 4 (August 2010): 340–49. http://dx.doi.org/10.1162/leon_a_00007.

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This project restructures weaving performance in architecture by analyzing the tacit knowledge of traditional weavers through perceptual study and converting it into an explicit rule in computational design. Three implementations with different materials show the advantages of using computational weaving that combines traditional principles with today's digital (CAD/CAM) tools to develop affordable fabrication techniques.

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Alderighi, Thomas, Daniela Giorgi, Luigi Malomo, Paolo Cignoni, and Monica Zoppè. "Computational design, fabrication and evaluation of rubber protein models." Computers & Graphics 98 (August 2021): 177–87. http://dx.doi.org/10.1016/j.cag.2021.05.010.

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26

Bickel, Bernd, and Marc Alexa. "Computational Aspects of Fabrication: Modeling, Design, and 3D Printing." IEEE Computer Graphics and Applications 33, no. 6 (November 2013): 24–25. http://dx.doi.org/10.1109/mcg.2013.89.

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Pérez, Jesús, Miguel A. Otaduy, and Bernhard Thomaszewski. "Computational design and automated fabrication of kirchhoff-plateau surfaces." ACM Transactions on Graphics 36, no. 4 (July 20, 2017): 1–12. http://dx.doi.org/10.1145/3072959.3073695.

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Harris, Tequila, and Kanthi Latha Bhamidipati. "Computational Modeling of a Polymer Electrolyte Membrane Fabrication Process." ECS Transactions 12, no. 1 (December 18, 2019): 251–62. http://dx.doi.org/10.1149/1.2921551.

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Aragão, Francisco Thiago Sacramento, Diego Arthur Hartmann, Abraham Ricardo Guerrero Pazos, and Yong-Rak Kim. "Virtual fabrication and computational simulation of asphalt concrete microstructure." International Journal of Pavement Engineering 18, no. 9 (July 27, 2015): 859–70. http://dx.doi.org/10.1080/10298436.2015.1066009.

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Piovarci, Michal, Alexandre Chapiro, and Bernd Bickel. "Skin-Screen: A Computational Fabrication Framework for Color Tattoos." ACM Transactions on Graphics 42, no. 4 (July 26, 2023): 1–13. http://dx.doi.org/10.1145/3592432.

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Tattoos are a highly popular medium, with both artistic and medical applications. Although the mechanical process of tattoo application has evolved historically, the results are reliant on the artisanal skill of the artist. This can be especially challenging for some skin tones, or in cases where artists lack experience. We provide the first systematic overview of tattooing as a computational fabrication technique. We built an automated tattooing rig and a recipe for the creation of silicone sheets mimicking realistic skin tones, which allowed us to create an accurate model predicting tattoo appearance. This enables several exciting applications including tattoo previewing, color retargeting, novel ink spectra optimization, color-accurate prosthetics, and more.

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Lin, Shengmao, Nashaita Y. Patrawalla, Yingnan Zhai, Pengfei Dong, Vipuil Kishore, and Linxia Gu. "Computational and Experimental Characterization of Aligned Collagen across Varied Crosslinking Degrees." Micromachines 15, no. 7 (June 29, 2024): 851. http://dx.doi.org/10.3390/mi15070851.

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Collagen-based scaffolds have been widely used in tissue engineering. The alignment of collagen fibers and the degree of crosslinking in engineering tissue scaffolds significantly affect cell activity and scaffold stability. Changes in microarchitecture and crosslinking degree also impact the mechanical properties of collagen scaffolds. A clear understanding of the effects of collagen alignment and crosslinking degrees can help properly control these critical parameters for fabricating collagen scaffolds with desired mechanical properties. In this study, combined uniaxial mechanical testing and finite element method (FEM) were used to quantify the effects of fiber alignment and crosslinking degree on the mechanical properties of collagen threads. We have fabricated electrochemically aligned collagen (ELAC) and compared it with randomly distributed collagen at varying crosslinking degrees, which depend on genipin concentrations of 0.1% or 2% for crosslinking durations of 1, 4, and 24 h. Our results indicate that aligned collagen fibers and higher crosslinking degree contribute to a larger Young’s modulus. Specifically, aligned fiber structure, compared to random collagen, significantly increases Young’s modulus by 112.7% at a 25% crosslinking degree (0.1% (4 h), i.e., 0.1% genipin concentration with a crosslinking duration of 4 h). Moreover, the ELAC Young’s modulus increased by 90.3% as the crosslinking degree doubled by changing the genipin concentration from 0.1% to 2% with the same 4 h crosslinking duration. Furthermore, verified computational models can predict mechanical properties based on specific crosslinking degrees and fiber alignments, which facilitate the controlled fabrication of collagen threads. This combined experimental and computational approach provides a systematic understanding of the interplay among fiber alignment, crosslinking parameters, and mechanical performance of collagen scaffolds. This work will enable the precise fabrication of collagen threads for desired tissue engineering performance, potentially advancing tissue engineering applications.

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Yang, Yanxi, Meng Fu, and Jinquan Xing. "Revolutionizing architecture: The synergy of computational design and digital fabrication." Applied and Computational Engineering 62, no. 1 (April 30, 2024): 1–6. http://dx.doi.org/10.54254/2755-2721/62/20240535.

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This article delves into the profound impact of computational design and digital fabrication on the architectural landscape, presenting a comprehensive overview of their theoretical foundations, technological advancements, and environmental implications. It explores the transition from traditional design methodologies to algorithmic and generative approaches, highlighting how these technologies facilitate the creation of innovative, efficient, and sustainable architectural solutions. Through the lens of pioneering case studies, the analysis demonstrates significant efficiency gains and the potential for reducing construction waste and energy consumption. The integration of computational design with digital fabrication heralds a new era of architecture that not only challenges conventional construction practices but also aligns with the urgent need for sustainability in the built environment. The article further investigates the role of material innovation, robotic automation, and software development in pushing the boundaries of what can be achieved, ultimately underscoring the environmental benefits of these integrated technologies.

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Ciliberto, Carlo, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, and Leonard Wossnig. "Quantum machine learning: a classical perspective." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2209 (January 2018): 20170551. http://dx.doi.org/10.1098/rspa.2017.0551.

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Recently, increased computational power and data availability, as well as algorithmic advances, have led machine learning (ML) techniques to impressive results in regression, classification, data generation and reinforcement learning tasks. Despite these successes, the proximity to the physical limits of chip fabrication alongside the increasing size of datasets is motivating a growing number of researchers to explore the possibility of harnessing the power of quantum computation to speed up classical ML algorithms. Here we review the literature in quantum ML and discuss perspectives for a mixed readership of classical ML and quantum computation experts. Particular emphasis will be placed on clarifying the limitations of quantum algorithms, how they compare with their best classical counterparts and why quantum resources are expected to provide advantages for learning problems. Learning in the presence of noise and certain computationally hard problems in ML are identified as promising directions for the field. Practical questions, such as how to upload classical data into quantum form, will also be addressed.

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Bradshaw, Michael S., and Samuel H. Payne. "Detecting fabrication in large-scale molecular omics data." PLOS ONE 16, no. 11 (November 30, 2021): e0260395. http://dx.doi.org/10.1371/journal.pone.0260395.

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Fraud is a pervasive problem and can occur as fabrication, falsification, plagiarism, or theft. The scientific community is not exempt from this universal problem and several studies have recently been caught manipulating or fabricating data. Current measures to prevent and deter scientific misconduct come in the form of the peer-review process and on-site clinical trial auditors. As recent advances in high-throughput omics technologies have moved biology into the realm of big-data, fraud detection methods must be updated for sophisticated computational fraud. In the financial sector, machine learning and digit-frequencies are successfully used to detect fraud. Drawing from these sources, we develop methods of fabrication detection in biomedical research and show that machine learning can be used to detect fraud in large-scale omic experiments. Using the gene copy-number data as input, machine learning models correctly predicted fraud with 58–100% accuracy. With digit frequency as input features, the models detected fraud with 82%-100% accuracy. All of the data and analysis scripts used in this project are available at https://github.com/MSBradshaw/FakeData.

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Goel, Vineet K., Dinesh Khanduja, T. K. Garg, and Puneet Tandon. "Computational Support to Design and Fabrication of Traditional Indian Jewelry." Computer-Aided Design and Applications 12, no. 4 (January 13, 2015): 457–64. http://dx.doi.org/10.1080/16864360.2014.997642.

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Al-Qaryouti, Yousef, Kim Baber, and Joseph M. Gattas. "Computational design and digital fabrication of folded timber sandwich structures." Automation in Construction 102 (June 2019): 27–44. http://dx.doi.org/10.1016/j.autcon.2019.01.008.

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37

Yuan, Phillip F., Tong Xiao, and Pradeep Devadass. "Fabricating Complexity - A Performance Based Methodology through Parametric Optimization." Advanced Materials Research 889-890 (February 2014): 1240–45. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1240.

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This paper discusses the integration of advanced computational design and digital fabrication methods through the project Light-Vault, which addresses the development and execution of complex designs resulting in a performance based approach through optimization. The project shows the development of a vault which is made through an assemblage of customized multiple components, which are parametrically controlled and evaluated with respect to light and weight. Due to influence of multiple fitness parameters a genetic algorithm is created and new methodology is developed for the evolution of the form. Algorithms are developed to ensure design thinking and fabrication procedures are simultaneously developed in a non-linear, parallel performance based process. This logical approach investigates the various possibilities and optimizes the development and fabrication of ruled surfaces in the interior volume of the component using digital methods and translation of the form into reality using industrial robots for fabrication. In parallel, the project explores the potential of robotic technology and introduces innovations of personalized robotic tools, in generating quick shaping volumes through this process. The developed methodology is tested in creating multiple units of the vault which are analyzed against various evaluation criteria. This cumulative cohesive process between advanced digital and physical computation methods is translated through a full-scale built pavilion.

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Parra-Cabrera, Cesar, Clement Achille, Simon Kuhn, and Rob Ameloot. "3D printing in chemical engineering and catalytic technology: structured catalysts, mixers and reactors." Chemical Society Reviews 47, no. 1 (2018): 209–30. http://dx.doi.org/10.1039/c7cs00631d.

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CHEN, Y., S. JANAK, and S. UPPILI. "A FABRICATION METHOD TO FORM GLASS CAPILLARY." International Journal of Computational Engineering Science 04, no. 03 (September 2003): 715–18. http://dx.doi.org/10.1142/s146587630300212x.

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LACOLLE, B., N. SZAFRAN, and P. VALENTIN. "GEOMETRIC MODELLING AND ALGORITHMS FOR BINARY MIXTURES." International Journal of Computational Geometry & Applications 04, no. 03 (September 1994): 243–60. http://dx.doi.org/10.1142/s021819599400015x.

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We present some computational methods in a particular case of mixing and separation theory, as an application of classical results in the field of computational geometry. Our aim is the production of some given mixtures by mixing parts of basic products. In the geometrical approach we use, products or mixtures are characterized by vectors and the mixing process by vector sums, in the vector space of physico-chemical species. The feasibility of a mixture is viewed as a point-inclusion in the convex set of mixtures which is a zonotope associated with basic mixtures. This paper is concerned with binary mixtures characterized by two species. The geometrical approach leads to plane geometry problems and gives complete solutions to the optimal fabrication of a mixture, as well as to the fabrication of a sequence of several mixtures. Using the framework of computational geometry, we present efficient algorithms for solving the main problems related to the management of binary mixtures.

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Manavis, Athanasios, Prodromos Minaoglou, Nikolaos Efkolidis, and Panagiotis Kyratsis. "Digital Customization for Product Design and Manufacturing: A Case Study within the Furniture Industry." Electronics 13, no. 13 (June 25, 2024): 2483. http://dx.doi.org/10.3390/electronics13132483.

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Computational design together with the digitization of most fabrication processes play an important role in many research areas. Digital tools such as 3D modeling and computational design have been increasingly used. Computational design combines traditional 3D product design together with programming a general-purpose CAD system in order to promote system integration. In essence, using CAD-based textual or visual programming languages a series of products can be designed with accuracy and take advantage of product customization and automation of downstream applications. The present paper aims at customizing furniture design based on automating both the design and the fabrication procedures. The customer is able to define a series of geometrical characteristics, i.e., width, length, internal dimensions, and various other properties. The outcome consists of automating a great deal of processes, i.e., 3D modeling and assembling, visualization, creating the bill of materials (BOM), producing assembly instructions for the user, drawings and prototyping files, weight estimation.

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Sankaran, Krishnaswamy. "Recent Trends in Computational Electromagnetics for Defence Applications." Defence Science Journal 69, no. 1 (January 10, 2019): 65–73. http://dx.doi.org/10.14429/dsj.69.13275.

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Innovations in material science, (nano) fabrication techniques, and availability of fast computers are rapidly changing the way we design and develop modern defence applications. When we want to reduce R&D and the related trial-and-error costs, virtual modelling and prototyping tools are valuable assets for design engineers. Some of the recent trends in computational electromagnetics are presented highlight the challenges and opportunities . Why researchers should equip themselves with the state-of-the-art tools with multiphysics and multiscale capabilities to design and develop modern defence applications are discussed.

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Han-Youl Ryu, Hong-Gyu Park, and Yong-Hee Lee. "Two-dimensional photonic crystal semiconductor lasers: computational design, fabrication, and characterization." IEEE Journal of Selected Topics in Quantum Electronics 8, no. 4 (July 2002): 891–908. http://dx.doi.org/10.1109/jstqe.2002.801681.

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Ma, Li-Ke, Yizhonc Zhang, Yang Liu, Kun Zhou, and Xin Tong. "Computational design and fabrication of soft pneumatic objects with desired deformations." ACM Transactions on Graphics 36, no. 6 (November 20, 2017): 1–12. http://dx.doi.org/10.1145/3130800.3130850.

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Goldberg, Sergio Araya. "Computational Design of Parametric Scripts for Digital Fabrication of Curved Structures." International Journal of Architectural Computing 4, no. 3 (September 2006): 99–117. http://dx.doi.org/10.1260/147807706778658801.

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Zhang, Linan, Ziwang Guo, Liqun Wu, and Chao Chen. "Computational modeling of fabrication of nanoneedle based on multi-physics analysis." Ferroelectrics 554, no. 1 (January 2, 2020): 104–9. http://dx.doi.org/10.1080/00150193.2019.1684769.

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Thompson, David C., and Richard H. Crawford. "Computational quality measures for evaluation of part orientation in freeform fabrication." Journal of Manufacturing Systems 16, no. 4 (January 1997): 273–89. http://dx.doi.org/10.1016/s0278-6125(97)89098-x.

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Li, Dawei, Ning Dai, Xin Zhou, Renkai Huang, and Wenhe Liao. "Self-supporting interior structures modeling for buoyancy optimization of computational fabrication." International Journal of Advanced Manufacturing Technology 95, no. 1-4 (November 4, 2017): 825–34. http://dx.doi.org/10.1007/s00170-017-1261-6.

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Rezvanpour, Alireza, Eldin Wee Chuan Lim, and Chi-Hwa Wang. "Computational and experimental studies of electrohydrodynamic atomization for pharmaceutical particle fabrication." AIChE Journal 58, no. 11 (January 23, 2012): 3329–40. http://dx.doi.org/10.1002/aic.13727.

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Lee, Yi-Chin, and Daniel Cardoso Llach. "Hybrid Embroidery: Exploring Interactive Fabrication in Handcrafts." Leonardo 53, no. 4 (July 2020): 429–33. http://dx.doi.org/10.1162/leon_a_01931.

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This paper presents Hybrid Embroidery, a framework for interactive fabrication that leverages computational methods to broaden the possibilities of the craft of embroidery. Combining embroidery techniques, generative design methods, computer vision and a computerized embroidery machine, we show how this framework elicits a variety of innovative fabrication experiences that emphasize open-ended exploration, improvisation and play. The paper documents this framework, a series of sample results, challenges and next steps. It further outlines some of its implications for supporting creative exploration through real-time and direct manipulation of materials and close human-machine interaction.

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