PirateNets: Physics-informed Deep Learning with Residual Adaptive

Unifying Physics and Deep Learning with TossingBot

Paris Pedikaris (@ParisPerdikaris) / X

Paris Perdikaris - CatalyzeX

Physics-informed machine learning

2311.13812 - Mechanical Characterization and Inverse Design of Stochastic Architected Metamaterials Using Neural Operators

Thiparat Chotibut on LinkedIn: From explainable NLP to quantum dynamics prediction

Paris Perdikaris on LinkedIn: MEAM faculty search 2022-23

Nicky Clarke on LinkedIn: PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Paris Pedikaris on X: What is the proper way to initialize and train deep physics-informed neural networks (PINNs) for a given PDE system? This question has felt like a stone in our

Physics-Informed Multi-Agent deep reinforcement learning enabled distributed voltage control for active distribution network using PV inverters - ScienceDirect

PDF] Efficient physics-informed neural networks using hash encoding

Paris Perdikaris - CatalyzeX

Research – Melady Lab