Predicting Synthesizability of Crystalline Materials via Deep Learning

Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions

E. R. Antoniuk, G. Cheon, et al.

Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials

Y. Hirabayashi, H. Iga, et al.

A general and transferable deep learning framework for predicting phase formation in materials

S. Feng, H. Fu, et al.

Predicting adsorption ability of adsorbents at arbitrary sites for pollutants using deep transfer learning

Z. Wang, H. Zhang, et al.