New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for super-large-scale atomic structures. This effective Hamiltonian method could ...

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a ...

Physics-informed neural network has emerged as a promising approach for solving partial differential equations. However, it is still a challenge for the computation of structural mechanics problems ...

The alternative text for this image may have been generated using AI. An accurate three-dimensional structure of the target protein in a relevant functional state is a central component and a critical ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

The American Physical Society (APS) – the world’s largest organization of physicists – has awarded the 2026 Aneesur Rahman Prize for Computational Physics to Stefano Baroni, Professor of Condensed ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

Chris Van de Walle, a distinguished professor of materials at UC Santa Barbara, has been awarded the American Physical Society’s 2025 Aneesur Rahman Prize for Computational Physics, the highest honor ...

Advance your expertise in critical areas of aerospace science and technology with UMass Lowell's Ph.D. in Aerospace Engineering. Through rigorous training in experimental and computational methods, ...

With an applied physics: computational degree, you’ll gain specialized expertise in mathematical modeling, simulation, and data analysis, preparing you for careers in technology and research. Become ...