Kaizhong Gao manages the Nanomaterials Devices group in Argonne National Laboratory’s Applied Materials division. His research interests include Gallium Nitride-based power electronics and radiofrequency applications as well as advanced manufacturing technologies, additive manufacturing, functional materials,  novel materials and devices for energy storage and data storage and security technologies.

Kris Pupek is the Group Leader for Process R&D and Scale Up in Argonne National Laboratory’s Applied Materials division. The group evaluates emerging synthesis techniques and develops scalable processes for manufacturing of advanced materials including organic, inorganic, polymeric and nanomaterials to support basic research and industrial evaluation.

Aaron Greco is the Group Manager for Argonne National Laboratory’s Materials for Harsh Conditions group in the Applied materials division. He also serves as Principal Investigator on a project to improve the reliability of wind turbine drivetrains and supports research efforts to improve the fuel efficiency of vehicles through the development of various lubricant and surface treatment technologies to reduce frictional losses.

Tao Sun is a Physicist in the X-ray Sciences Division of Argonne National Laboratory, and also a fellow of Northwestern-Argonne Institute of Science and Engineering. Dr. Sun is an expert on microstructure characterization using synchrotron x-ray techniques. He has developed x-ray coherent surface scattering imaging technique for resolving sample surface/interface structures, and high-speed imaging and diffraction techniques for studying highly dynamic materials behaviors under extreme conditions. He is currently leading multiple projects on additive manufacturing. Dr. Sun obtained his Ph.D. in Materials Science and Engineering from Northwestern University, and has more than 60 publications.

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.

Meltem Urgun-Demirtas leads the Bioprocesses and Reactive Separations group in Argonne National Laboratory’s Applied Materials division, which focuses on re-engineering plant flow diagrams to develop innovative technologies for industrial applications as well as development and application of intensified reactor and separation technologies. She is a Fellow at the Northwestern and Argonne Institute of Science and Engineering.

Venkat Srinivasan is the director of the Argonne Collaborative Center for Energy Storage Science (ACCESS) and deputy director of the Joint Center for Energy Storage Research (JCESR, the battery ​“Hub”). He is a former staff scientist at Lawrence Berkeley National Lab. His research interest is in developing next-generation batteries for use in vehicle and grid applications, among other things. Dr. Srinivasan and his research group develop continuum-based models for battery materials and combine them with experimental characterization to help design new materials, electrodes, and devices.

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

Pete Beckman is the codirector of the Northwestern-Argonne Institute of Science and Engineering and a senior fellow in University of Chicago’s Computation Institute.

Nate Evans leads the Strategic Cybersecurity Research group in Argonne National Laboratory’s Strategic Security Sciences division. He supports the Department of Homeland Security in several cybersecurity capabilities and leads the U.S. Department of Energy’s annual Cyber Defense Competitions for collegiate teams.

Ali Erdemir is an Argonne National Laboratory Distinguished Fellow and Senior Scientist with international recognition and significant accomplishments in the fields of materials science, surface engineering and tribology. His discoveries of nearly frictionless carbon and superhard nanocomposite coatings, as well as a range of novel nanolubricants and lubrication additives, have been hailed as major breakthroughs in the field.

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.

Abdellatif Yacout is a principal nuclear engineer and manages the Fuel Development and Qualification group within Argonne’s Chemical and Fuel Cycle Technologies Division. His group leads work at Argonne on additive manufacturing (AM) for nuclear fuels and materials applications, which combines standard AM techniques with advanced deposition and infiltration techniques to form complex objects of different materials for both nuclear and non-nuclear applications.

Dileep Singh leads the Thermal Management research efforts in Argonne National Laboratory’s Applied Materials division. He and his group investigate innovative technologies for improving the cooling in heavy-duty truck engines and power electronics used in hybrid electric vehicles.  

My research activities and expertise focus on two areas: materials growth, and neuromorphic computing.

In the area of materials, the focus of my research is understanding the fundamentals of materials growth, with a specific emphasis on the areas of advanced electronic materials and semiconductor processing. My research leverages the advanced computing, X-ray characterization, and the cutting-edge materials synthesis capabilities at Argonne to understand the synthesis of nanomaterials using chemistry-based techniques such as atomic layer deposition. My research seeks to accelerate the transition of lab-scale breakthroughs into manufacturing by rationalizing the role that chemistry has on the properties of nanomaterials and the scaling up to manufacturing scale. While my primary focus is on nanomaterials, we have recently successfully transferred this approach to additive manufacturing.

In the area of neuromorphic computing, my research focuses primarily on the exploration of novel architectures and algorithms to design smart systems and sensors inspired on the insect brain. Our research focuses on areas that go beyond the current state of the art in machine learning, to focus on system with the ability to adapt to changes in their environment in real time and capable of exhibiting task-dependent learning and processing. As part of the research in this area, I am currently leading a project from DARPA’s Lifelong Learning Machines program focused on the development of such systems. My research also focuses on understanding how to best translate these architectures into hardware, both through the exploration of existing neuromorphic hardware, and the development of design principles that will help guide the design of novel materials and devices capable of implementing some of these novel capabilities. Our main target application us the development of more power-efficient, smarter sensors tor self-driving vehicles and drones, and internet of things-related applications such as infrastructure monitoring or networked sensors.

Stefan Wild is a Computational Mathematician and Deputy Division Director of the Mathematics and Computer Science Division at Argonne National Laboratory and a Senior Fellow in the Northwestern Argonne Institute for Science and Engineering at Northwestern University. His primary research focus is on algorithms and software for numerical optimization and data analysis.

Abdellatif Yacout is a principal nuclear engineer and manages the Fuel Development and Qualification group within Argonne’s Chemical and Fuel Cycle Technologies Division. His group leads work at Argonne on additive manufacturing (AM) for nuclear fuels and materials applications, which combines standard AM techniques with advanced deposition and infiltration techniques to form complex objects of different materials for both nuclear and non-nuclear applications.