Exascale Simulations of Quantum Materials

PI Paul Kent, Oak Ridge National Laboratory
Co-PI Ray Clay, Sandia National Laboratories
Peter Doak, Oak Ridge National Laboratory
Panchapakesan Ganesh, Oak Ridge National Laboratory
Jaron Krogel, Oak Ridge National Laboratory
Ye Luo, Argonne National Laboratory
Lubos Mitas, North Carolina State University
Fernando A. Reboredo, Oak Ridge National Laboratory
Brenda Rubenstein, Brown University
Kayahan Saritas, Oak Ridge National Laboratory
Kent INCITE 2025

Calculated electronic charge density of a CrI3/WTe2 bilayer, a candidate topological spin filter. The calculations were made using data from “A First-Principles Study of Bilayer 1T'-WT2/CrI3: A Candidate Topological Spin Filter” (D. Staros, B. Rubenstein, and P. Ganesh. NPJ Spintronics 2 4 (2024). https://doi.org/10.1038/s44306-023-00007-y). Image: QMCPACK Team

Project Description

This project is focused on being able to reliably predict, understand, and realize desired phenomena in specific, real materials. Advances are critical to help meet the challenges of reducing energy, realizing new technologies, and identifying the optimum materials for specific applications. 

The team’s focus is on materials and properties where commonly used electronic structure methods are thought to be inaccurate due to their inherent approximations, necessitating insights from benchmark accuracy calculations—particularly in areas such as two-dimensional nanomaterials and quantum materials. Calculations are performed using the open-source QMCPACK code that implements Quantum Monte Carlo (QMC) algorithms. These methods are highly accurate and avoid the majority of problems of standard electronic structure methods, but at the trade-off of considerable additional computational cost.

Allocations