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.

New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.

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 ...

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 ...

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 ...

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

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 ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

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