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Proceedings Papers

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

Anh Tran, Kathryn Maupin, Theron Rodgers

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A038, August 14–17, 2022

Paper No: DETC2022-89213

DOI: https://doi.org/10.1115/DETC2022-89213

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Topics: Interpolation, Machine learning, Materials science, Physics, Trains

Proceedings Papers

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Huiru Li, Jianhua Yin, Xiaoping Du

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A001, August 14–17, 2022

Paper No: DETC2022-88277

DOI: https://doi.org/10.1115/DETC2022-88277

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Topics: Physics, Reliability, Uncertainty, Uncertainty quantification, Artificial neural networks, Errors, Machine learning, Design, Linkages, Regression models

Proceedings Papers

Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling

Yanwen Xu, Zhuoyuan Zheng, Kanika Arora, Debbie G. Senesky, Pingfeng Wang

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A028, August 14–17, 2022

Paper No: DETC2022-91196

DOI: https://doi.org/10.1115/DETC2022-91196

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Topics: Design, Finite element model, Hall effect, Magnetic sensors, Modeling, Optimization, Physics, Sensors

Proceedings Papers

X-Ray Marching for the Computational Modeling of Tomographic Systems Applied to Materials Applications

John C. Steuben, Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A035, August 14–17, 2022

Paper No: DETC2022-91129

DOI: https://doi.org/10.1115/DETC2022-91129

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Topics: Computer simulation, X-rays, Physics, Dimensions

Proceedings Papers

Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling

Dehao Liu, Pranav Pusarla, Yan Wang

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A011, August 14–17, 2022

Paper No: DETC2022-91219

DOI: https://doi.org/10.1115/DETC2022-91219

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Topics: Artificial neural networks, Machine learning, Modeling, Optimization, Physics

Proceedings Papers

Localized Dielectric Sintering With Magnetron for Microwave Material Processing

Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos, John C. Steuben, Andrew J. Birnbaum, Edward P. Gorzkowski, Eric A. Patterson, Richard P. Fischer, George M. Petrov, Luke A. Johnson

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A037, August 14–17, 2022

Paper No: DETC2022-91132

DOI: https://doi.org/10.1115/DETC2022-91132

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Topics: Materials processing, Microwaves, Sintering, Temperature, Heating, Materials properties, Microwave propagation, Radiation (Physics), Cavities, Ceramics

Proceedings Papers

A Study on Hexapod Gait Adaptation by Enumerative Encoding and Particle Swarm Optimization

Victor Parque

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A078, August 14–17, 2022

Paper No: DETC2022-90305

DOI: https://doi.org/10.1115/DETC2022-90305

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Topics: Encryption, Particle swarm optimization, Actuators, Failure, Optimization, Particulate matter, Physics, Robotics, Simulation

Proceedings Papers

Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement

Zhuoyuan Zheng, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro V. M. Costa, Alvaro M. Costa, Carlos H. B. Morais, Pingfeng Wang

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A024, August 14–17, 2022

Paper No: DETC2022-90496

DOI: https://doi.org/10.1115/DETC2022-90496

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Topics: Carbon dioxide, Ocean engineering, Reliability-based optimization, Design, Supercritical carbon dioxide, Uncertainty, Construction, Reliability, Storage, Carbon capture and storage

Proceedings Papers

Toward Formal Qualitative Reasoning to Support Functional Decomposition

Xiaoyang Mao, Chiradeep Sen

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A046, August 14–17, 2022

Paper No: DETC2022-89940

DOI: https://doi.org/10.1115/DETC2022-89940

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Topics: Algorithms, Design, Flow (Dynamics), Formal methods, Heating, Natural language processing, Physics, Systems engineering, Topology

Proceedings Papers

Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment

Parth Bansal, Zhuoyuan Zheng, Yumeng Li

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A039, August 14–17, 2022

Paper No: DETC2022-89654

DOI: https://doi.org/10.1115/DETC2022-89654

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Topics: Corrosion, Machine learning, Physics, Resilience, Uncertainty quantification

Proceedings Papers

Design of Three-Dimensional Bi-Continuous Silicon Based Electrode Materials for High Energy Density Batteries

Zhuoyuan Zheng, Zheng Liu, Pingfeng Wang, Yumeng Li

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A046, August 14–17, 2022

Paper No: DETC2022-89652

DOI: https://doi.org/10.1115/DETC2022-89652

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Topics: Anodes, Density, Design, Electrodes, Physics, Silicon

Proceedings Papers

Real-Time Simulation of Ground Vehicles on Deformable Terrain

Radu Serban, Jay Taves, Zhenhao Zhou

Proc. ASME. IDETC-CIE2022, Volume 9: 18th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A012, August 14–17, 2022

Paper No: DETC2022-89470

DOI: https://doi.org/10.1115/DETC2022-89470

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Topics: Simulation, Vehicles, Modeling, Soil, Hardware, Roads, Aerospace industry, Autonomous vehicles, Design, Dynamics (Mechanics)

Proceedings Papers

SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations

Umar Farooq Ghumman, Anton van Beek, Joydeep Munshi, TeYu Chien, Ganesh Balasubramanian, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A005, August 17–19, 2021

Paper No: DETC2021-71595

DOI: https://doi.org/10.1115/DETC2021-71595

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Topics: Design, Molecular dynamics simulation, Optimization, Process design, Solar cells, Spectral energy distribution, Annealing, Energy conversion, Metals, Photovoltaic cells

Proceedings Papers

A Bayesian Approach to Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

Huiru Li, Xiaoping Du

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A009, August 17–19, 2021

Paper No: DETC2021-67958

DOI: https://doi.org/10.1115/DETC2021-67958

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Topics: Physics, Reliability

Proceedings Papers

An Introduction to 3D SPI2 (Spatial Packaging of Interconnected Systems With Physics Interactions) Design Problems: A Review of Related Work, Existing Gaps, Challenges, and Opportunities

Satya R. T. Peddada, Lawrence E. Zeidner, Kai A. James, James T. Allison

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A034, August 17–19, 2021

Paper No: DETC2021-72106

DOI: https://doi.org/10.1115/DETC2021-72106

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Topics: Design, Packaging, Physics, Design automation, Aircraft, Cycles, Design methodology, Energy consumption, Engineering systems and industry applications, Packing (Shipments)

Proceedings Papers

A New Triangle: Fractional Calculus, Renormalization Group, and Machine Learning

Haoyu Niu, YangQuan Chen, Lihong Guo, Bruce J. West

Proc. ASME. IDETC-CIE2021, Volume 7: 17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), V007T07A022, August 17–19, 2021

Paper No: DETC2021-70505

DOI: https://doi.org/10.1115/DETC2021-70505

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Topics: Machine learning, Renormalization (Physics), Optimization, Artificial neural networks, Complex systems, Creativity, Degrees of freedom, Design, Dynamic systems, Feature extraction

Proceedings Papers

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Aaron Young, Jay Taves, Asher Elmquist, Radu Serban, Dan Negrut, Simone Benatti, Alessandro Tasora

Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A022, August 17–19, 2021

Paper No: DETC2021-67070

DOI: https://doi.org/10.1115/DETC2021-67070

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Topics: Artificial intelligence, Mechanical admittance, Physics, Roads, Simulation, Sensors, Testing, Engines, Vehicles, American Petroleum Institute

Proceedings Papers

Multiple Harmonic Lissajous Scanning Patterns for Endomicroscopy With Parametrically-Resonant Micro-Mirrors

Nicholas Chan, Miki Lee, Haijun Lee, Thomas D. Wang, Kenn R. Oldham

Proc. ASME. IDETC-CIE2021, Volume 11: 15th International Conference on Micro- and Nanosystems (MNS), V011T11A011, August 17–19, 2021

Paper No: DETC2021-71280

DOI: https://doi.org/10.1115/DETC2021-71280

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Topics: Microelectromechanical systems, Mirrors, Resonance, Simulation, Oscillations, Density, Imaging, Waves, Dynamics (Mechanics), Endoscopic devices

Proceedings Papers

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A001, August 17–19, 2021

Paper No: DETC2021-66719

DOI: https://doi.org/10.1115/DETC2021-66719

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Topics: Engineering simulation, Fluids, Physics, Resolution (Optics), Simulation, Fluid dynamics, Computational fluid dynamics, Engineering design, Machine learning, Turbulence

Proceedings Papers

Potential Energy Surfaces for Conceptual Design and Analysis of Mechanical Systems

Charles A. Manion, Mark Fuge

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A006, August 17–19, 2021

Paper No: DETC2021-70921

DOI: https://doi.org/10.1115/DETC2021-70921

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Topics: Conceptual design, Potential energy, Kinematics, Modeling, Simulation, Space, Clocks, Design, Dynamics (Mechanics), Lenses (Optics)

2 3 4 5

NARROW

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling

X-Ray Marching for the Computational Modeling of Tomographic Systems Applied to Materials Applications

Multi-Fidelity Physics-Constrained Neural Networks With Minimax Architecture for Materials Modeling

Localized Dielectric Sintering With Magnetron for Microwave Material Processing

A Study on Hexapod Gait Adaptation by Enumerative Encoding and Particle Swarm Optimization

Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement

Toward Formal Qualitative Reasoning to Support Functional Decomposition

Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment

Design of Three-Dimensional Bi-Continuous Silicon Based Electrode Materials for High Energy Density Batteries

Real-Time Simulation of Ground Vehicles on Deformable Terrain

SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations

A Bayesian Approach to Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data

An Introduction to 3D SPI2 (Spatial Packaging of Interconnected Systems With Physics Interactions) Design Problems: A Review of Related Work, Existing Gaps, Challenges, and Opportunities

A New Triangle: Fractional Calculus, Renormalization Group, and Machine Learning

Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios

Multiple Harmonic Lissajous Scanning Patterns for Endomicroscopy With Parametrically-Resonant Micro-Mirrors

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Potential Energy Surfaces for Conceptual Design and Analysis of Mechanical Systems

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