Physics-Constrained Deep Learning of Nonlinear Normal Modes of Spatiotemporal Fluid Flow Dynamics Publications Physics of Fluids
EdgeAI: Machine Learning Via Direct Attached Accelerator for Streaming Data Processing at High Shot Rate X-Ray Free-Electron Lasers Publications Frontiers in Physics
Applying Machine Learning Methods to Prediction Problems of Lattice Observables Publications SciPost Physics Proceedings
A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management Publications SMC 2022: Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulatio
Benchmarking Time-Dependent Density Functional Theory for Singlet Excited States of Thermally Activated Delayed Fluorescence Chromophores Publications Physical Review Research
Computationally Guided Design to Accelerate Discovery of Doped β-Mo2C Catalysts toward Hydrogen Evolution Reaction Publications ACS Catalysis
Convergence Acceleration in Machine Learning Potentials for Atomistic Simulations Publications Digital Discovery
Reconciling the Volcano Trend with the Butler–Volmer Model for the Hydrogen Evolution Reaction Publications The Journal of Physical Chemistry Letters