Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science. Classical machine learning approaches to molecular dynamics (MD) encode ...

It’s July 20, 1969. Neil Armstrong and Buzz Aldrin are about to land on the moon. They will be the first humans to set foot ...

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL) have achieved a significant milestone by demonstrating the first digital ...

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re not there yet. Robotics is still held back by a paucity of data from ...

The FLAMINGO project helps scientists explore how galaxies, dark matter and cosmic structures evolved over billions of years.

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 ...

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

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

HiPhyEngine brings FEM and MPM simulation to Blender with a unified solver, plus a 180 day trial for evaluation.

SiS talks to Lorenzo Servadei, Head of AI for Chip Design, Sony AI. SIS: How do you see AI-powered EDA redefining the chip ...

Scientists in Germany have pulled off a staggering computing feat by fully simulating a 50-qubit quantum computer for the ...