Physics-Informed AI

4 items

ARTICLEDEV.to AI·4/22/2026

Physics-Augmented Diffusion Modeling for bio-inspired soft robotics maintenance during mission-critical recovery windows

This article details a personal journey in AI for soft robotics, inspired by a catastrophic "silent failure" in a bio-inspired gripper during a simulated mission. It highlights the challenge of using AI to reason about physical degradation in novel environments, proposing Physics-Augmented Diffusion Modeling for maintenance in critical recovery windows.

soft robotics predictive maintenance AI robotics

RESEARCHDEV.to AI·4/26/2026

A Physics-Informed Deep Learning Paradigm for Car-Following Models

This research introduces a novel physics-informed deep learning paradigm designed for developing car-following models. The approach aims to integrate fundamental physical principles directly into deep neural networks to enhance the accuracy and interpretability of traffic simulations.

Traffic Modeling deep learning Autonomous Vehicles simulation

RESEARCHarXiv CS.LG·4/15/2026

Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids

This research introduces the Thermodynamic Liquid Manifold Network (TLMN), a physics-bounded deep learning model for solar forecasting in autonomous off-grid microgrids. It resolves critical anomalies in contemporary deep learning models by integrating atmospheric thermodynamics and celestial mechanics to prevent physically impossible predictions.

microgrids deep learning Solar Forecasting Thermodynamics

RESEARCHHugging Face Blog·4/28/2026

Adaptive Ultrasound Imaging with Physics-Informed NV-Raw2Insights-US AI

This content introduces a novel approach to adaptive ultrasound imaging leveraging a Physics-Informed AI model named NV-Raw2Insights-US. It highlights the application of advanced AI techniques to enhance adaptability in medical ultrasound diagnostics.

Ultrasound Healthcare AI Medical Imaging