A collaboration between Stuart Parkin's group at the Max Planck Institute of Microstructure Physics in Halle (Saale) and Claudia Felser's group at the Max Planck Institute for Chemical Physics of ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

This tutorial will guide you through building a machine learning classifier for North American projectile points using Python and TensorFlow, all inside Google Colab. By the end, you will have a fully ...

Condensed-matter physics is the study of substances in their solid state. This includes the investigation of both crystalline solids in which the atoms are positioned on a repeating three-dimensional ...

Quantum deviations Large masses such as a galaxy curve space–time and objects move along geodesics within this curvature. If space–time itself has quantum properties, then deviations arise between a ...

Abstract: Visualizing information inside objects is an everlasting need to bridge the world from physics, chemistry, and biology to computation. Among all tomographic techniques, terahertz (THz) ...

Abstract: A class of 66 students enrolled for the first year engineering is introduced to solving numerical problems and conceptual questions in engineering physics using collaborative learning (CL), ...

This repository includes the training and evaluation code for the above paper. python train_script.py --name data_physics --data True --physics True --pretrained_checkpoint DATA_CHECKPOINT ...

Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...