The US Department of Energy's Oak Ridge National Laboratory (ORNL) is a huge and diverse research center located in eastern Tennessee near Knoxville. Its mission is incredibly diverse: biology and the environment, clean energy including fission and fusion, isotope production, basic physical sciences, national security in multiple contexts, neutron sciences, and supercomputing. You are […]
Attend drop-in hours for quick advice and feedback that lasts 10-15 minutes. Career Drop-In Hours take place Tuesday-Friday while classes are in session.
Zoom option is available on request. Please email Prof. Kathy Nightingale for additional info.
The Robert J. Melosh Medal Competition was inaugurated in 1989 to honor Professor Melosh, a pioneering researcher in finite element methods and former chairman of civil and environmental engineering at Duke. In a professional career that included working at Boeing, Philco Ford Laboratory, and MARC Analysis and Research Corporation, as well as teaching at Rensselaer […]
Attend drop-in hours for quick advice and feedback that lasts 10-15 minutes. Career Drop-In Hours take place Tuesday-Friday while classes are in session.
Join us for a talk by Charles Caskey, PhD, a professor of Radiology and Biomedical Engineering at Vanderbilt University. A zoom option is also available upon request. Email Prof. Pengfei Song with any questions.
Fall break begins (7:00 PM)
The 2026 Duke-ORNL Workshop on Advanced Microscopy and Data-Driven Materials Science will be held at Duke University on October 12-13, 2026. The workshop will bring together leading researchers, industry experts, and emerging scholars to explore the latest advances in electron microscopy, AI-enabled data analysis, and data-driven materials discovery. The program will showcase cutting-edge characterization techniques […]
The 2026 Duke-ORNL Workshop on Advanced Microscopy and Data-Driven Materials Science will be held at Duke University on October 12-13, 2026. The workshop will bring together leading researchers, industry experts, and emerging scholars to explore the latest advances in electron microscopy, AI-enabled data analysis, and data-driven materials discovery. The program will showcase cutting-edge characterization techniques […]
Attend drop-in hours for quick advice and feedback that lasts 10-15 minutes. Career Drop-In Hours take place Tuesday-Friday while classes are in session.
Learning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […]
Classes resume (8:30 AM)
