Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

AI-driven operator learning models like Fourier Neural Operator and DeepONet are redefining simulation speed, producing results in seconds instead of hours. Coupled with automation tools such as ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

The AI Physics breakthrough will expedite product development and support advanced space missions and robotics BOSTON, April 21, 2026 /PRNewswire/ -- Flexcompute, the physics company, and Northrop ...

Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

From AI literacy & cybersecurity awareness to leadership & sustainability, here's what engineers must master to thrive amid ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.