10 skills found
libAtoms / MatscipyMaterials science with Python at the atomic-scale
SUNCAT-Center / CatLearnA machine learning environment for atomic-scale modeling in surface science and catalysis.
aurilisdev / ElectrodynamicsElectrodynamics is a mod that brings realistic, world-based science and technology into Minecraft along with some other additions.
Hazrat-Ali9 / Solar Atomic Model🌞 Solar Atomic 🐲 Model Visualizing 🐳 Atomic Structure 🐡 Like a 🦜 Solar System 🚀 model analogy 🌸 where electrons 🦋 orbit the 🐊 nucleus like 🐢 planets around 🦥 the sun Perfect 🧸 students educators ⚽ and science 🎳 enthusiasts of 🏀 atoms with 🎃 electrons orbiting 🎮 the nucleus in real-time animated UI with support and element selection
BuiltBrokenModding / Atomic ScienceReboot and full rewrite of Calclavia's Atomic Science mod
aurilisdev / Nuclear ScienceNuclear Science is a Minecraft Mod focused around nuclear physics that introduces many new machines/blocks and items into the game.
halvors / Nuclear PhysicsNuclear Physics is a mod that brings in realistic, world-based technological advancement experience into Minecraft.
mragon2 / Deep Learning High Entropy AlloysHigh Entropy Alloys (HEAs) are multi-chemical elements alloys with exceptional physical properties. HEAs have sparked the interest in engineering applications such as energy storage, catalysis and bio/plasmonic imaging. The understanding of the structural of composition of HEAs is paramount for the appropriate tuning of their properties. Scanning Transmission Electron Microscopy (STEM) is typically used to acquire images of various materials at the atomic scale resolution. including HEAs. In this repository it is demonstrated how computer vision analysis based on Deep Learning (DL) could be used to extract structural information from STEM images of HEAs. In particular a Fully Convolutional Neural Network (FCN) is trained to recognize the number of atoms of different chemical species in the atomic columns of HEA (i.e., column heights CHs) through semantic segmentation of simulated and experimental STEM images. As a benchmark case, equiatomic PtNiPdCoFe HEAs are considered. This project represent a first attempt for the identification of chemical species in 3D materials. Thus, in addition to the estimation of the structural properties of HEAs, this work establish an advancement of DL applied to microscopy image which could be useful for a broad area of nano-science applications.
jalliet / FlashcardsAugment Claude with this skill to help create atomic flashcards from a bank of sources (project ideally) that help you learn based precisely on the science.
MASTAR-LAST / ScienceAn advanced scientific library specialized in thermomechanics and atomic sciences
