Since the COVID-19 pandemic began and schools were forced to shift to remote learning, PhET—a University of Colorado Boulder STEM (or science, technology, engineering and mathematics) education ...

Wallace Hannum, The Physics of the Roller Coaster: Learning Physics Through Simulation, Educational Technology, Vol. 41, No. 1, Special Issue: Different Designers, Different Designs (January-February ...

COMSOL has introduced a new online resource that provides free and open access to modelling and simulation learning material across all areas of physics. The Learning Centre offers a single entry ...

Machine learning is becoming a familiar tool in all aspects of physics research: in experiments from experimental design and optimization, to data acquisition and analysis; in numerical simulation ...

As an alternative, Machine Learning (ML) has recently emerged as a faster, less compute-heavy, adaptable solution for physics simulation. Historically, physics simulation approaches are broadly ...

This scenario is especially appealing for quantum simulations of many-body systems since it avoids the exponential growth condemning classical algorithms. However, the road is not without hindrances.

Janice L. Anderson, Mike Barnett, Learning Physics with Digital Game Simulations in Middle School Science, Journal of Science Education and Technology, Vol. 22, No. 6 (DECEMBER 2013), pp. 914-926 ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective laser melting (SLM). This novel approach ...

Computer vision technology could help identify features in jets. Another emerging application of deep learning is the simulation of particle physics data that predict, for example, what happens in ...

Note: Content may be edited for style and length. Journal Reference: Juan Carrasquilla, Roger G. Melko. Machine learning phases of matter. Nature Physics, 2017; DOI: 10.1038/nphys4035 ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.