AI tensor network-based computational framework cracks a 100-year-old physics challenge

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational ...

Physicists solve mystery of loop current switching in kagome metals

Quantum metals are metals where quantum effects—behaviors that normally only matter at atomic scales—become powerful enough ...
IEEE

Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems

Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
IEEE

An SRAM-based reconfigurable analog in-memory computing circuit for solving linear algebra problems

Abstract: Analog in-memory computing (AIMC) is attracting strong interest for accelerating data-intensive tasks such as artificial intelligence by overcoming the memory wall. Recently, closed-loop ...