Pakornchote, Teerachote

1. Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
   2023/08/04 by Teerachote Pakornchote, Natthaphon Choomphon-anomakhun, Pakornchote, Teerachote +11 · 6 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Topic Modeling
2. StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks
   2023/06/22 by Teerachote Pakornchote, Annop Ektarawong, Pakornchote, Teerachote +3 · 2 citations
   Materials Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Boron and Carbon Nanomaterials Research
3. CrystalGRW: Generative Modeling of Crystal Structures with Targeted Properties via Geodesic Random Walks
   2025/01/15 by Tangsongcharoen, Krit, Pakornchote, Teerachote, Atthapak, Chayanon +6 · 2 citations
   #68T07 #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Statistical Mechanics (cond-mat.stat-mech)