IEEE

A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature

Abstract: The physics-informed neural network (PINN) has drawn much attention as it can reduce training data size and eliminate the need for physics equation identification. This paper presents the ...

AI identifies new particle models that may explain neutrinos' tiny mass

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...
The University of Manchester

New learning tool speeds up search for 2D quantum materials

This research was published in the journal Science Advances.Discovery of flat-band 2D materials via physics-informed scoring ...

Block-by-block AI maps uncover real urban air temperatures across 380 US cities

Cities are often described as "heat islands," with media reports warning that some neighborhoods can be 20° F (7° C) hotter ...
Microwaves & RF

Future Directions for AI & ML in RF/Microwave Design Tools

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...
IEEE

Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review

Abstract: Predictive maintenance for power electronic converters has emerged as a critical area of research and development. With the rapid advancements in deep-learning techniques, new possibilities ...
News Medical

Physics-informed machine learning enables continuous cuffless blood pressure monitoring

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings using inflatable cuffs, usually in a clinical setting. Today's blood pressure ...
Physics World

In food physics, connection and collaboration are ingredients for a thriving IOP community

As the food physics group of the Institute of Physics notches up 10 years of engagement between academia and industry, Joe McEntee explores how food physicists are delivering a more sustainable food ...
Business Wire

Alsym Energy Announces Na-Series Battery Success Developed With Physics-Informed AI Platform

MALDEN, Mass.--(BUSINESS WIRE)--Alsym Energy, a pioneer in non-flammable, high-performance sodium-ion batteries, today announced details of the proprietary physics-informed AI platform used to develop ...
Business Wire

insitro Partners with Lilly to Build First-in-Kind Machine Learning Models to Advance Small Molecule Drug Discovery

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...
Physics World

How AI can help (and hopefully not hinder) physics

The use of artificial intelligence is already becoming commonplace in physics, but could physics also help AI? Tara Shears examines the relationship between the two fields following a survey and ...