Robots trained entirely in simulation are beginning to perform more reliably in the real world, according to a series of new robotics research papers presented by NVIDIA at the In ...

COMSOL Simulation Summit panel discusses how AI, GPU acceleration, and academic research contribute to and also reshape ...

Standardizing calculations of the helium byproducts generated in advanced fission and fusion energy system materials can increase reactor safety and longevity, according to a study led by University ...

Chip startup NextSilicon's high-performance-computing-focused accelerators get Sandia National Lab's stamp of approval ...

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...

Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, run the analysis, review the results, adjust the design, and repeat until ...

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 ...

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 ...

Abstract: The dominant paradigm for power system dynamic simulation is to build system-level simulations by combining physics-based models of individual components. The sheer size of the system along ...

Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

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 ...