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Active STANDARD GRANT National Science Foundation (US)

CAREER: Developing Wavefunction-based Quantum Chemistry for Solids

$2.75M USD

Funder National Science Foundation (US)
Recipient Organization Michigan State University
Country United States
Start Date Apr 01, 2025
End Date Nov 30, 2026
Duration 608 days
Number of Grantees 1
Roles Principal Investigator
Data Source National Science Foundation (US)
Grant ID 2526433
Grant Description

With support from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry, and the Established Program to Stimulate Competitive Research (EPSCoR) Dr. James Shepherd of the University of Iowa will be developing high-accuracy ground-state wavefunction electronic structure methods for the prediction of bulk properties of solids.

Novel quantum materials have the potential to drive technological change due to the unique properties they possess as a result of the specific nature of their electronic structure. Examples of these materials include catalysts and semiconductors. When computational chemists are able to faithfully model the electronic structure of these compounds, they can contribute to the rational design of materials alongside experimentalists.

The Shepherd research group is pursuing tools that enable quicker and more accurate such calculations. These tools are expected to advance our theoretical understanding of how electrons interact in solids. The Shepherd research group is also developing a course-based undergraduate research program using an evidence-based design philosophy.

This program will train undergraduate STEM (Science, Technology, Engineering and Mathematics) majors in the computer-aided design of new materials commensurate with the uptick in interest in computationally guided materials design in academia and industry. Additionally, the program will seek to improve retention of students in STEM majors, especially of those students from underrepresented groups.

In this project, Dr. James Shepherd and his research group at the University of Iowa are working to improve high accuracy computational chemistry methods, such as coupled cluster theory and full configuration interaction quantum Monte Carlo. The widespread adoption of these methods is prevented by finite size errors, which arise from trying to simulate real systems with a limited number of atoms.

The Shepherd research group is systematically studying the physical origin of these errors; removing these errors for wavefunction-based quantum chemistry; and leveraging these technologies to study catalyst and semiconductor design.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

All Grantees

Michigan State University

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