8 citations · 12 across the 3 of their papers we have counts for
5 papers · 1 filter
Tailored ordering enables high-capacity cathode materials
Tzu-chen Liu, Adolfo Salgado-Casanova, So Yubuchi +7
Newly designed Li-ion battery cathode materials with high capacity and greater flexibility in chemical composition will be critical for the growing electric vehicles market. Cathod…
Generative Hierarchical Materials Search
Sherry Yang, Simon Batzner, Ruiqi Gao +7
Generative models trained at scale can now produce text, video, and more recently, scientific data such as crystal structures. In applications of generative approaches to materials…
Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction
Samuel J. Yang, Shutong Li, Subhashini Venugopalan +5
Machine learning is transforming materials discovery by providing rapid predictions of material properties, which enables large-scale screening for target materials. However, such…
LiCoO phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories
Gregory H. Teichert, Sambit Das, Muratahan Aykol +3
LiO (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability…
Network analysis of synthesizable materials discovery
Muratahan Aykol, Vinay I. Hegde, Linda Hung +4
Assessing the synthesizability of inorganic materials is a grand challenge for accelerating their discovery using computations. Synthesis of a material is a complex process that de…