3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys

no code implementations • 23 Nov 2018 • Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar

In this paper, we explore a deep convolutional neural-network based approach to develop the atomistic potential for such complex alloys to investigate materials for insights into controlling properties.

Extremely large magnetoresistance and Kohler's rule in PdSn4: a complete study of thermodynamic, transport and band structure properties

no code implementations • 18 Jul 2017 • Na Hyun Jo, Yun Wu, Lin-Lin Wang, Peter P. Orth, Savannah S. Downing, Soham Manni, Dixiang Mou, Duane D. Johnson, Adam Kaminski, Sergey L. Bud'ko, Paul C. Canfield

By comparing these similar compounds, we address the origin of the extremely large magnetoresistance in PdSn$_4$ and PtSn$_4$; based on detailed analysis of the magnetoresistivity, $\rho(H, T)$, we conclude that neither carrier compensation nor the Dirac arc node surface state are primary reason for the extremely large magnetoresistance.

Strongly Correlated Electrons