David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned to AI models trained not just on data but on the fundamental equations of ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Quantum computing’s potential has reached a new milestone with the simulation of a black hole. This achievement not only marks a significant advancement in computational physics but also provides new ...

MONTRÉAL--(BUSINESS WIRE)--Today, Kothar Computing is announcing the launch of Kothar’s FORGE, a next generation scientific computing platform that solves complex quantum many-body problems with ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

Deputy director of the School of Computing at the Australian National University, Amanda Barnard talks to Hamish Johnston about research at the interface of computational modelling, applied machine ...

"Catching molecular motion at just the right time: Theorists overcome loss of entropy and friction in computational simulations." ScienceDaily. www.sciencedaily.com / releases / 2011 / 09 / ...