A recurring challenge in science and engineering is the model–reality gap, where trusted legacy simulators lose fidelity due to unresolved physics or structural incompleteness. This challenge has ...

Computational fluid dynamics researchers show that modeling point sources at domain boundaries resolves artificial blockage ...

A scientific review details how integrating molecular dynamics, free energy perturbation, and machine learning accelerates ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

An international team of scientists from the University of Luxembourg, Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin and Google has now successfully developed a ...

Engineering has always depended on the ability to test ideas before committing them to expensive physical prototypes, ...

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 ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

A new algorithm combines AI weather forecasts with a physics-based climate model to efficiently characterize rare and dangerous weather events. Heatwaves, floods, and other extreme weather events pose ...

Ribonucleic acid (RNA) is one of life's most versatile molecules, with roles going far beyond being a messenger of genetic code, as it is fundamentally involved in gene regulation, processing, and ...

Computational Physics is a discipline which focuses upon the numerical solutions of complex physical problems. In general, Physics problems are very difficult to solve exactly, which means that ...