activity
20172020
most citedQuantifying Confidence in Density Functional Theory Predicted Magnetic Ground States

35 citations · 35 across the 1 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2020

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…

cond-mat.mtrl-sci2019

Uncertainty Quantification of DFT-predicted Finite Temperature Thermodynamic Properties within the Debye Model

Pinwen Guan, Gregory Houchins, Venkatasubramanian Viswanathan

Finite-temperature effects can be included by calculating the vibrations properties and this can greatly improve the fidelity of computational screening. An important challenge for…

cond-mat.mtrl-sci2018

Spatial dependence of the superexchange interactions for transition-metal trimers in graphene

Charles B. Crook, Gregory Houchins, Jian-Xin Zhu +3

This study examines the magnetic interactions between spatially-variable manganese and chromium trimers substituted into a graphene superlattice. Using density functional theory, w…

cond-mat.mtrl-sci2018

Towards Ultra Low Cobalt Cathodes: A High Fidelity Computational Phase Search of Layered Li-Ni-Mn-Co Oxides

Gregory Houchins, Venkatasubramanian Viswanathan

Layered Li(Ni,Mn,Co,)O (NMC) presents an intriguing ternary alloy design space for optimization as a cathode material in Li-ion batteries. Recently, the high cost and resource…

cond-mat.mtrl-sci201735 cited

Quantifying Confidence in Density Functional Theory Predicted Magnetic Ground States

Gregory Houchins, Venkatasubramanian Viswanathan

The success of descriptor-based material design relies on eliminating bad candidates and keeping good candidates for further investigation. While DFT has been widely successfully f…