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American physicist and chemist From Wikipedia, the free encyclopedia
Kristin Aslaug Persson is a Swedish/Icelandic American physicist and chemist. She was born in Lund, Sweden, in 1971, to Eva Haettner-Aurelius [1] and Einar Benedikt Olafsson.[2] [3] She is the Daniel M. Tellep Distinguished Professor of Materials Science and Engineering at University of California, Berkeley and a faculty senior staff scientist at Lawrence Berkeley National Laboratory.[4] Between 2020-2024, she served as the director of the Molecular Foundry,[5] a national user facility managed by the US Department of Energy at Lawrence Berkeley National Laboratory. Persson is the director and founder of the Materials Project,[6] a multi-national effort to compute the properties of all inorganic materials. Her research group[7] focuses on the data-driven computational design and prediction of new materials for clean energy production and storage applications. In 2024, Persson was elected a member of the Royal Swedish Academy of Sciences, in the class of Chemistry. [8]
Kristin Aslaug Persson | |
|---|---|
| |
| Alma mater | Lund Institute of Technology Royal Institute of Technology |
| Known for | Materials Project, data-driven materials design |
| Scientific career | |
| Fields | Materials science Chemistry Physics |
| Institutions | University of California, Berkeley Lawrence Berkeley National Laboratory |
| Thesis | |
| Doctoral advisor | Prof. Göran Grimvall |
| Website | perssongroup |
Persson holds a Master of Science in engineering physics from Lund Institute of Technology[9] in Sweden and completed a Ph.D. in theoretical physics from Royal Institute of Technology (KTH) in Sweden in 2001, under the supervision of Göran Grimvall. After her Ph.D., she joined the Massachusetts Institute of Technology as a postdoctoral associate from 2001 to 2002. In 2002 she resigned her postdoctoral position to care full-time for her two daughters, born 2000 and 2002. She was rehired at MIT in 2004 and became a Research Associate in 2006. In 2008, Persson joined Lawrence Berkeley National Laboratory as a staff scientist, and in 2015 she became a professor in the Department of Materials Science and Engineering[10] at the University of California, Berkeley.
The Persson Group is a research team that investigates materials' physics and chemistry using advanced computational methods and high-performance computing technology. Their work primarily supports clean energy production and storage applications.[11]
Persson leads the Materials Project,[6] a collaborative and international initiative that calculates the properties of all inorganic materials. This project provides researchers with free access to the data and related analysis algorithms. The main objective of the Materials Project is to significantly reduce the time required to develop new materials by focusing experimental efforts on compounds that show the most promise based on computational analysis.
Within the Persson Group, researchers apply their expertise in materials informatics and the high-throughput infrastructure of the Materials Project to design innovative materials for various clean energy applications. These materials include photocatalysts, multi-valent battery electrode materials, piezoelectrics, and electrolytes for advanced energy storage solutions.[12][13] Some of the group's past research has explored the properties of lithium-graphene, phase transformations in high-voltage nickel-manganese spinel, intercalation mechanisms in lithium excess materials, novel oxide photocatalysts, and the correlation between solvation structure and electrolyte performance in multi-valent electrolytes.[14]
The Persson group collaborates with other Materials Project contributors such as Gerbrand Ceder's group, Shyue Ping Ong's group, and Anubhav Jain's group.[15]
Persson's accomplishments in the area of data-driven materials design have been honored by the following awards and recognitions:
She has also given named lectures such as the Cooper Lecture, West Virginia University [29] and the Dresselhaus Memorial Lecture, IWAM 2023. [30]
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