 DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC DesignIEEE Transactions on Components, Packaging, and Manufacturing Technology (TCPMT), 2025 |
 DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in
3D-IC DesignDesign Automation Conference (DAC), 2023 |
 A composable machine-learning approach for steady-state simulations on
high-resolution gridsNeural Information Processing Systems (NeurIPS), 2022 |
 A Thermal Machine Learning Solver For Chip SimulationWorkshop on Machine Learning for CAD (ML4CAD), 2022 |
 Conditional physics informed neural networksCommunications in nonlinear science & numerical simulation (CNSNS), 2021 |
 Deep learning approaches to surrogates for solving the diffusion
equation for mechanistic real-world simulationsFrontiers in Physiology (Front. Physiol.), 2021 |
 Learning Order Parameters from Videos of Dynamical Phases for Skyrmions
with Neural NetworksPhysical Review Applied (PR Applied), 2020 |
