Machine Learning: Direct Prediction of Phonon Density of States With Euclidean Neural Networks (Adv. Sci. 12/2021)

Phonon density‐of‐states is a key property that governs materials thermal properties but is nontrivial to compute or measure. A neural network that carries full crystal symmetry allows a prediction of phonon density‐of‐states using a small volume of training data, approaching ab initio accuracy but...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Adv Sci (Weinh)
मुख्य लेखकों: Chen, Zhantao, Andrejevic, Nina, Smidt, Tess, Ding, Zhiwei, Xu, Qian, Chi, Yen‐Ting, Nguyen, Quynh T., Alatas, Ahmet, Kong, Jing, Li, Mingda
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: John Wiley and Sons Inc. 2021
विषय:
Frontispiece
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC8224407/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.202170068
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