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 study-level audit of twenty-seven forward structural-dynamic physics-informed neural network papers reveals that most published models lack rigorous verification across spectral, modal, and ...

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 ...

High-accuracy aerodynamic simulations are essential to designing commercial aircraft that are safer, faster, and more fuel efficient. But the physics of airflow is so complex that the aerospace ...

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 ...

Through the cutting-edge supercomputer simulations, this study makes significant strides in gaining insights into the physics of exotic supernovae. With the commencement of next-generation supernova ...

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 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 ...

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 ...