Papers
List of accepted papers
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Paper ID
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Title
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Authors
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02
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Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing
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Loc Truong, WoongJo Choin, Colby Wight, Elizabeth Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
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03
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Anomaly Segmentation Network Using Self-Supervised Learning
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Jouwon Song, Kyeongbo Kong, Ye-In Park, Seong-Gyun Kim, Suk-Ju Kang
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04
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Deep Reinforcement Learning for Engineering Design through Topology Optimization of Elementally Discretized Design Domains
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Nathan Brown, Anthony Garland, Georges Fadel, Gang Li
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05
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An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design
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Song Wang, Yi Murphey, Wencong Su, Mengqi Wang, VAN HAI BUI, Fangyuan Chang, Can Huang, Lingxiao Xue, Felipe Leno da Silva, Ruben Glatt
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06
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Data-Efficient Training with Physics-Enhanced Deep Surrogates
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Raphael Pestourie, Youssef Mroueh, Christopher Vincent Rackauckas, Payel Das, Steven Glenn Johnson
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07
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Quantile Autoencoder for Anomaly Detection
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Hogeon Seo, Seunghyoung Ryu, Jiyeon Yim, Junghoon Seo, Yonggyun Yu
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08
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Parallel Attention Network using Vector with High Correlation with Label for Remaining Useful Life Estimation
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Ye-In Park, Jouwon Song, Suk-Ju Kang
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09
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Automating the Process of Energy-Technology Invention
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David E Tew, Mihaela Quirk, Lipi Acharya
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10
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Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters
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Ruben Glatt, Felipe Leno da Silva, VAN HAI BUI, Can Huang, Lingxiao Xue, Mengqi Wang, Fangyuan Chang, Yi Murphey, Wencong Su
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12
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GANISP: a GAN-assisted Importance SPlitting Probability Estimator
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Malik Hassanaly, Andrew Glaws, Ryan Nicholas King
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13
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Differentiable Design With Dynamic Programming
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Kelly O. Marshall, Minsu Cho, Chinmay Hegde
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14
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AI-Driven Design-Space Exploration for Thermo-Fluid Domains
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Amit Bhatia, Kathryn Kirsch, Claudio Pinello, Ram Ranjan
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15
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Grassmannian Shape Representations for Aerodynamic Applications
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Olga Doronina, Zachary J. Grey, Andrew Glaws
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16
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Inverse Design of Microstructures via Generative Networks for Organic Solar Cells
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Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Adarsh Krishnamurthy, Soumik Sarkar, Baskar Ganapathysubramanian
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17
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An Epsilon-Frontier for Faster Optimization in Nonlinear Manifold Learning
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Arthur Drake, Qiuyi Chen, Mark Fuge
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18
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Gaussian Process-Driven History Matching for Physical Layer Parameter Estimation in Optical Fiber Communication Networks
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Josh William Nevin, Sam Nallaperuma, Seb Savory
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19
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Fast Unsupervised Generative Design for Structural Topology Optimization
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Ethan Herron, Anushrut Jignasu, Jaydeep Rade, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
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20
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Multi-Fidelity Modeling of Spatio-Temporal Fields
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Sudeepta Mondal, Soumalya Sarkar
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21
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Deep Generative Models for Geometric Design Under Uncertainty
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Wei Chen, Doksoo Lee, Wei Chen
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22
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Multigrid Distributed Deep CNNs for Structural Topology Optimization
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Jaydeep Rade, Aditya Balu, Ethan Herron, Anushrut Jignasu, Sergio Botelho, Santi Adavani, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
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23
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Physics Informed Machine Learning with Misspecified Priors: An analysis of Turning Operation in Lathe Machines
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Zhiyuan Zhao, Xueying Ding, Gopaljee Atulya, Alex Davis, Aarti Singh
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24
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Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components
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Ranjan Anantharaman, Anas Abdelrehim, Francesco Martinuzzi, Sharan Yalburgi, Elliot Saba, Keno Fischer, Glen Hertz, Pepijn de Vos, Chris Laughman, Yingbo Ma, Viral Shah, Alan Edelman, Chris Rackauckas
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25
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Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning
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Soren Taverniers, Svyatoslav Korneev, Kyle Mitchell Pietrzyk, Morad Behandish
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