Ilke Arslan is the director of the Center for Nanoscale Materials and the Nanoscience and Technology division at Argonne National Laboratory.

Liew Family Professor and Deputy Director for Space, Infrastructure, and Facilities, University of Chicago
Joint Appointee, QIS Group Leader, Materials Science Division, Argonne National Laboratory

Director, Chicago Quantum Exchange

Research: Spintronics, solid-state quantum information processing, magnetic semiconductors, nanomagnetism, time-resolved magneto-optical spectroscopy

Junhong Chen is lead water strategist at Argonne National Laboratory and a Professor of Molecular Engineering at the University of Chicago’s Pritzker School of Molecular Engineering. 

I am a Chemist at the Institute for Molecular Engineering and Materials Science Division.

John A. MacLean Sr. Professor for Molecular Engineering Innovation and Enterprise; Director, Pritzker Nanofabrication Facility, University of Chicago
Joint Appointee, Materials Science Division, Argonne National Laboratory

Research: Ionic polymers with controlled charge sequences; directed self-assembly of chiroplasmonic nanostructures through stereocomplexation for next-generation nano-metamaterials

Liew Family Professor in Molecular Engineering; Deputy Director for Education and Outreach, University of Chicago
Joint Appointee, Materials Science Division, Argonne National Laboratory

Research: Protein folding and aggregation, DNA folding and hybridization, glassy materials, block copolymers, liquid crystals, development of advanced sampling methods

Jeff Elam leads Argonne National Laboratory’s Functional Coatings Group in the Applied Materials division. The group develops coating technologies for a diverse range of applications including energy storage, photodetectors, and water purification. He has won five R&D 100 Awards and holds numerous patents.

Computer Scientist
Integrated Imaging Institute Leadership Team
630-252-1342
nferrier@​anl.​gov

Liew Family Professor in Molecular Engineering, University of Chicago
Joint Appointee, Materials Science Division, Argonne National Laboratory

Research: Theoretical and computational modeling of materials, including solids, liquids and nanostructures

Supratik Guha is senior advisor to the Physical Sciences and Engineering directorate, leading Argonne’s microelectronics and quantum information science strategic efforts. He is also a professor at the Pritzker School of Molecular Engineering at the University of Chicago.

F. Joseph Heremans is a Staff Scientist in the Materials Science Division and Center for Molecular Engineering at Argonne National Lab and a CASE affiliated scientist at the Pritzker School of Molecular Engineering at the University of Chicago.

Di-Jia Liu is Senior Chemist and Principal Investigator in the Catalysis and Energy Conversion Theme of the Chemical Sciences and Engineering Division.

Alex Martinson is a Chemist at Argonne National Laboratory in the Materials Science Division, Emerging Materials Group. The aim of his research is to elucidate and leverage a multitude of technologically relevant surface chemistries and optoelectronic processes that occur at the interface between materials. The research tests the limits of what is possible in digital materials synthesis and device fabrication at length scales approaching the atomic level.

John F. Mitchell is an Argonne Distinguished Fellow and Associate Director of the Materials Science Division at Argonne National Laboratory. He received his A.B. from Cornell University in 1987 and his Ph.D. from the University of Chicago in 1993 for theoretical studies of defect structures and order-disorder transitions of early transition metal chalcogenides. His current research emphasizes materials synthesis, crystal growth, and studies of correlated electron materials, quantum magnets, and topological matter.

Brady W. Dougan Professor in Molecular Engineering, Institute for Molecular Engineering at the University of Chicago
Joint Appointee, Materials Science Division, Argonne National Laboratory

Research: Block copolymers, directed self-assembly (DSA), nanolithography, nanopatterning

Cristina Negri is the Director of the Environmental Science (EVS) Division. As the Director of a scientific Division of 70+ staff, her current interests are in leading the development and execution of its strategic programmatic direction inclusive of a diverse research portfolio in environmental sciences. 

Martin Suchara is a computational scientist at Argonne National Laboratory with expertise in quantum computing. His research focuses on quantum communication and networking, quantum error correction, quantum simulations, and optimizations of the quantum computing software stack. Martin is the leader of the Simulation & Systems Thrust of the Q-NEXT National Quantum Information Science Research Center. Prior to joining Argonne Martin worked at AT&T Labs and received postdoctoral training in quantum computing from UC Berkeley and IBM Research. Martin received Ph.D. in Computer Science from Princeton University.

Marius Stan is the Intelligent Materials Design Lead in the Argonne National Laboratory’s Applied Materials division. A computational physicist and chemist interested in complexity, non-equilibrium thermodynamics, heterogeneity, and materials design, he uses artificial intelligence, machine learning, and multi-scale computer simulations to understand and predict properties and evolution of complex physical systems.

Matthew Tirrell is Deputy Laboratory Director for Science, Chief Research Officer, and Manager of the Laboratory-Directed Research and Development program at Argonne National Laboratory. He is responsible for integrating the laboratory’s research and development efforts and science and technology capabilities. He develops and drives strategy to support integrated teams across disciplines in support of Argonne’s strategic initiatives. He assists in reviews of scientific programs and chairs the safety Corrective Action Review Board.

Gary Wolfowicz is a Staff Physicist in the Materials Science Division and Center for Molecular Engineering at Argonne National Lab.

May Wu is a principal environmental system analyst at Argonne National Laboratory and the Principal Investigator of a multi-year water analysis project supported by the U.S. Department of Energy. Her research focuses on water use, water quality and water resource availability as related to the development of conventional and renewable energy (conventional fuel, electricity, and emerging fuels). 

Dr. Xu is a assistant scientist at Nanoscience and Technology division at Argonne National Lab since 2018. She received her PhD degree in Chemistry from Nanjing University in 2014, with a focus on the understanding of molecular packing structures and dynamic behaviors in confined soft matters. In her subsequent postdoctoral training at Stanford University between 2014 and 2018, she applied her solid background in polymer physics to the emerging field of skin-like electronics and developed a new class of intrinsically stretchable electronic materials. So far, Dr. Xu has 18 peer-reviewed publications and 2 patents, among which 6 are first/co-first authored papers on high-profile scientific journals, such as Nature, Science, and Macromolecules. In particular, her work on intrinsically stretchable electronics has been featured in many scientific journals and news media such as Science, Nature News and Views, Nature Nanotechnology, C&EN, and so on. Dr. Xu received the prestigious MRS Postdoctoral Award in 2018 ​“for applying polymer physics concepts to realize integrated, intrinsically stretchable transistors for skin electronics”, and she was also one of the co-leaders of the Stanford eWEAR Student Society, which aims to promote student/postdoc collaborations and exposure to the field of wearable technology. Dr. Xu’s current research focuses on three areas: 1) kinetically engineering the polymer packing structure for high performance bioelectronics; 2) understanding the structure-property relationships of electronic polymers under processing and deformation by advanced in-situ characterization; 3) building an automated self-learning processing platform for multifunctional thin films, and seeking their high-profile processing-morphology-property relationships and peak performance