Francesca Tavazza

1. Recent advances and applications of deep learning methods in materials science
   2022/04/05 by Kamal Choudhary, Brian DeCost, Chi Chen +10 · 23 citations
   Materials Science · #Electron and X-Ray Spectroscopy Techniques #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
2. Rapid Prediction of Phonon Structure and Properties using an Atomistic Line Graph Neural Network (ALIGNN)
   2022/07/25 by Ramya Gurunathan, Gurunathan, Ramya, Kamal Choudhary +3 · 4 citations
   Materials Science · #Advanced Thermoelectric Materials and Devices #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Thermal properties of materials
3. Uncertainty Quantification in Atomistic Modeling of Metals and its\n Effect on Mesoscale and Continuum Modeling A Review
   2020/09/28 by Joshua J. Gabriel, Noah H. Paulson, Gabriel, Joshua J. +11 · 1 citation
   Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #High Temperature Alloys and Creep #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Microstructure and mechanical properties
4. Topological Phases of MnA₂X₄ (A=Bi, Sb; X = Se, Te) under Magnetic Field
   2022/02/14 by Sugata Chowdhury, Kevin F. Garrity, Chowdhury, Sugata +3 · 1 citation
   Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Quantum many-body systems #Topological Materials and Phenomena