May 15, 2020 · Deep learning has fostered many novel applications in materials informatics. However, the inverse design of inorganic crystals, ...
An invertible crystallographic representation for general inverse design of. 495 inorganic crystals with targeted properties. 43 (2022). 496. Page 25. 25. 21 ...
This article presents a framework for general inverse design that generates new crystals with user-defined properties using generative models. The validity of ...
An Invertible Crystallographic Representation for General Inverse Design of Inorganic Crystals with Targeted Properties · Zekun Ren, S. Tian, +14 authors. T.
Missing: generalized | Show results with:generalized
Mar 2, 2022 · An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties. Zekun Ren,* Siyu ...
Missing: generalized | Show results with:generalized
Jan 6, 2022 · This breakthrough is outlined in a paper titled, “An invertible crystallographic representation ... design of inorganic crystals with ...
Missing: generalized | Show results with:generalized
Buonassisi, Inverse design of crystals using generalized invertible crystallographic representation, ArXiv:2005.07609 [Cond-. Mat, Physics:Physics]. (2020) ...
May 22, 2023 · An invertible, invariant crystallographic representation for inverse design of solid-state materials using generative deep learning.
Missing: generalized | Show results with:generalized
Apr 6, 2023 · This breakthrough is outlined in a paper entitled “An invertible crystallographic representation for general ... crystals with targeted ...
Oct 25, 2023 · In this paper, we train a conditional variational autoencoder with a scalable and invertible representation along with the elemental properties ...