Showing 41–60 of 77 results
/ Date/ Name
Jun 14, 2023HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack PropagationJun 13, 2023Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsJun 6, 2023Residual-based error bound for physics-informed neural networksFeb 1, 2023Uniswap Liquidity Provision: An Online Learning ApproachSep 12, 2022Inverse-Dynamics MPC via Nullspace ResolutionSep 12, 2022On topological data analysis for structural dynamics: an introduction to persistent homologyApr 19, 2022ParticLS: Object-oriented software for discrete element methods and peridynamicsNov 15, 2021A massless boundary component mode synthesis method for elastodynamic contact problemsMay 3, 2021Embedded training of neural-network sub-grid-scale turbulence modelsMar 4, 2021Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance ComputersDec 28, 2020On the computation of the slow dynamics of nonlinear modes of mechanical systemsDec 28, 2020Reliability optimization of friction-damped systems using nonlinear modesDec 28, 2020A method for nonlinear modal analysis and synthesis: Application to harmonically forced and self-excited mechanical systemsDec 28, 2020A High-Order Harmonic Balance Method for Systems With Distinct StatesDec 28, 2020An efficient method for approximating resonance curves of weakly-damped nonlinear mechanical systemsDec 28, 2020Nonlinear modal analysis of nonconservative systems: Extension of the periodic motion conceptOct 20, 2020Scalable HPC and AI Infrastructure for COVID-19 TherapeuticsOct 14, 2020An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy StorageOct 13, 2020IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEadsJun 12, 2020Algorithms and Learning for Fair Portfolio Design