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Workshop
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Fri 8:50
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Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua · Rasool Ahmad · Jose Blanchet · Wei Cai
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Workshop
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AnisoGNN: physics-informed graph neural networks that generalize to anisotropic properties of polycrystals
Guangyu Hu · Marat Latypov
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Workshop
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Fri 15:00
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Learning Interatomic Potentials at Multiple Scales
Xiang Fu · Albert Musaelian · Anders Johansson · Tommi Jaakkola · Boris Kozinsky
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Workshop
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Combinatorial Optimization via Memory Metropolis: Template Networks for Proposal Distributions in Simulated Annealing applied to Nanophotonic Inverse Design
Marlon Becker · Marco Butz · David Lemli · Carsten Schuck · Benjamin Risse
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Workshop
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CaloFFJORD: High Fidelity Calorimeter Simulation Using Continuous Normalizing Flows
Chirag Furia · Vinicius Mikuni
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Workshop
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Decentralized agent-based modeling
Ayush Chopra · Arnau Quera-Bofarull · Nurullah Giray Kuru · Ramesh Raskar
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Workshop
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Surrogate Modeling for Computationally Expensive Simulations of Supernovae in High-Resolution Galaxy Simulations
Keiya Hirashima · Kana Moriwaki · Michiko Fujii · Yutaka Hirai · Takayuki Saitoh · Junichiro Makino · Shirley Ho
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Workshop
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Physics-guided Training of Neural Electromagnetic Wave Simulators with Time-reversal Consistency
Charles Dove · Jatearoon Boondicharern · Laura Waller
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Workshop
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Redefining Super-Resolution:Fine-mesh PDE predictions without classical simulations
Rajat Sarkar · Ritam Majumdar · Vishal Jadhav · Sagar Srinivas Sakhinana · Venkataramana Runkana
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Workshop
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Sequential data-consistent model inversion
Timothy Rumbell · Wanjiru Catherine · Isaiah Onando Mulang' · Stephen Obonyo · James Kozloski · Viatcheslav Gurev
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Workshop
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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