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

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 ...

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 ...

The new focus on manned missions to the moon and Mars presents countless pressing challenges, including keeping humans alive ...

In the Earth’s orbit, a few centimeters can be the difference between a successful ...

Princeton’s physics department will test whether AI can grade exams by comparing faculty-graded exams with those generated by ...

Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, ...

Researchers from Cleveland Clinic, RIKEN, and IBM have carried out the largest quantum-classical chemistry ...

Mississippi State-Meridian MSN student Logan Stirewalt is fitted with eye-tracking glasses before a labor and delivery simulation at the university’s Interprofessional Simulation Center. Industrial ...

The new focus on manned missions to the moon and Mars presents countless pressing challenges, including keeping humans alive in hostile environments.