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3 Argonne National Lab scientists named Advancement of Science fellows

John Mitchell, a chemist at Argonne National Laboratory. | https://www.anl.gov/profile/john-mitchell

Three scientists with the U.S. Department of Energy’s Argonne National Laboratory were named fellows of the American Association for the Advancement of Science.

John Mitchell, Valerie Taylor and Lisa Utschig were named fellows for “advancement of science or its applications that are scientifically or socially distinguished,” a news release said. An induction ceremony will take place this spring in Washington, D.C.

The Argonne Lab is based in Illinois, 25 miles southwest of Chicago.


Valerie Taylor, director of Argonne National Laboratory’s mathematics and computer science division. | https://www.anl.gov/profile/valerie-e-taylor

Mitchell is a chemist at Argonne’s materials science division, and Utschig is a chemist in the engineering division. Taylor is director of Argonne’s mathematics and computer science division. Mitchell and Taylor are Argonne Distinguished Fellows.

Fellows have been elected annually since 1874.

“Thanks to long-term support from DOE’s Office of Basic Energy Sciences, I’ve had the opportunity to learn from nature the intricacies of its fully optimized photosynthetic solar energy conversion mechanisms and have applied this knowledge to create new biohybrid complexes that produce clean fuels from sunlight and water,” Utschig said in the release.

Mitchell said his study of quantum matter has been supported for more than 30 years by the U.S. Department of Energy’s Office of Basic Energy Sciences.

“It is exciting to grow and then hold crystals of these materials in my hand and then to share them with colleagues here and around the world to unlock the secrets of how electrons behave at the atomic level,” Mitchell said. 

Taylor was recognized for contributions to science.

“Energy-efficient execution on high-performance computing systems is one of the major issues confronting scientific applications,” Taylor said. “By creating performance models, I have sought to provide insights into the trade-offs between performance and power requirements and to help application developers more fully exploit computing resources for scientific discovery.”

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