HeteroFAM Director: Peter Sushko (Pacific Northwest National Laboratory)

Peter Sushko uses computational modeling to analyze the electronic structure of materials, reveal mechanisms of defect formation and transport, and predict materials behavior in complex environments. He is especially interested in the atomic-scale origins of interfacial phenomena and the effects of interfacial constraints on mechanisms of synthesis processes, electronic properties, and energy functions of materials.

Thrust 1: Ting Cao (University of Washington)

Ting Cao’s research employs quantum physics, advanced materials modeling techniques, and high-performance computing to study materials science and condensed matter physics, with special focus on the electronic structures of materials, excited-state phenomena, and light-matter interactions. His current research interest lies in exploring the distinct physical properties of one- and two-dimensional material systems that are potentially useful for future applications. Cao received a Ph.D. in physics from the University of California, Berkeley in 2018.

Thrust 2: Nicholas Bauman (Pacific Northwest National Laboratory)

As a research scientist at Pacific Northwest National Laboratory, Bauman's interests largely center on developing, implementing, and applying low-cost wave function methods and models for reducing the dimensionality of problems in a robust and computationally efficient manner. He is especially interested in seeing these methods being developed and utilized on modern computer architectures, such as near-term exascale systems and the rapidly developing field of quantum computers. He seeks to incorporate powerful tools, such as machine learning, to enhance these advances and holds a fervent desire to develop and apply ground and excited-state many-body methodologies that can accurately and reliably describe complex states that have eluded standard quantum chemistry methods, including core-level excitations, Rydberg states, ionization processes, and strongly correlated interactions.  

Thrust 3: Jenna Pope (Pacific Northwest National Laboratory)

Jenna Pope is a data scientist in the National Security Directorate at Pacific Northwest National Laboratory. Her research focuses on the application of data science and deep learning to chemistry and materials science. Her projects are highly interdisciplinary and involve close collaboration with both experimentalists and modelers/theoreticians.

HeteroFAM PIs

Niri Govind (Pacific Northwest National Laboratory)

Juan Carlos Idrobo (University of Washington, Pacific Northwest National Laboratory)

Di Xiao (University of Washington, Pacific Northwest National Laboratory)