Dive into the fascinating world of Minecraft like never before! In this video, we explore unique Minecraft physics ...

Spirals of solar wind can spin off larger solar eruptions and disrupt Earth's magnetic field, yet they are too difficult to ...

Important tasks like water desalination, dehumidification, and nuclear waste processing all involve expensive separation ...

On September 29th, the Linux Foundation announced that it is contributing Newton, a next-generation, GPU-accelerated physics ...

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful research capabilities with accessibility for students and scientists alike.

By Qozeem D. Abdulwaheed AS a young Nigerian passionate about science, I have realised that data science and analytics are no longer skills reserved only for technology companies. They are fast ...

Abstract: Koopman operator theory provides a powerful data-driven technique for modeling nonlinear dynamical systems in a linear framework, in comparison to computationally expensive and highly ...

Dark matter’s nature has long eluded scientists, but new theoretical and experimental advances are pointing to an unexpected candidate: superheavy, electrically charged gravitinos. (Artist’s concept).

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: In this study, the multi-physics simulations of Through Silicon Via (TSV) are carried out based on HFSS and Icepak, and then corresponding surrogate model is established based on deep neural ...

When Stephen Baek, associate professor at the University of Virginia’s School of Data Science, talks about extreme physics, he isn’t referring to an obscure corner of science. He’s describing the ...

This Graph Convolutional Network learns to simulate collision responses for particles. Speedups can be seen for large numbers of particles. The network can also learn to account for symmetry-breaking ...