PPPL’s new National Spherical Torus Experiment-Upgrade will play an important role in the Department of Energy's Fusion ...
Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...
A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer ...
With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...
Fives ProSim, a subsidiary of the Fives Group and an expert in industrial process simulation and optimization, announces the release of ProSimPlus Python API. This new solution enables users to run ...
Biotech company Imperagen announced on Thursday a £5 million ($6.7 million) seed round led by PXN Ventures, with participation from IQ Capital and Northern Gritstone. The company was founded in 2021 ...
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 ...
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.
PyQuake3D is a high-performance Python-based Boundary Element Method (BEM) code for simulating sequences of seismic and aseismic slip (SEAS) on a complex 3D fault geometry governed by rate- and ...
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 ...