7 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
MeltNet: Predicting alloy melting temperature by machine learning
Pin-Wen Guan, Venkatasubramanian Viswanathan
Thermodynamics is fundamental for understanding and synthesizing multi-component materials, while efficient and accurate prediction of it still remain urgent and challenging. As a…
: Combining pressure and electrochemistry to synthesize superhydrides
Pin-Wen Guan, Russell J. Hemley, Venkatasubramanian Viswanathan
Recently, superhydrides have been computationally identified and subsequently synthesized with a variety of metals at very high pressures. In this work, we evaluate the possibility…
Uncertainty Quantification of First Principles Computational Phase Diagram Predictions of Li-Si System Via Bayesian Sampling
Ying Yuan, Gregory Houchins, Pin-Wen Guan +1
In this work, an assessment of the CALPHAD method trained on only density functional theory (DFT) data is performed for the Li-Si binary system, as a case study. Using a parameter…