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Zhi-Xun Shen is a Paul Pigott Professor in Physical Sciences at Stanford University and serves as a Professor of Applied Physics and Physics. He is also a Senior Fellow at the Precourt Institute for Energy. Shen has held significant academic positions including Chief Scientist at the SLAC National Accelerator Laboratory and Director of the Geballe Laboratory for Advanced Materials and the Stanford Institute for Materials and Energy Sciences. He is recognized for his substantial contributions to the field of condensed matter physics, particularly in the study of quantum materials. His research focuses on advanced instrumentation and experimental techniques in photon-based methods such as angle-resolved photoemission and soft x-ray scattering, aimed at understanding the fundamental properties of superconductors, novel magnets, and topological insulators. His work has contributed significantly to the advances in thin film interface engineering and the understanding of anisotropic d-wave pairing in high-temperature superconductors. He has received numerous prestigious awards including the E.O. Lawrence Award and the Oliver E. Buckley Prize from the American Physical Society. Shen has also played a vital role in advisory committees and boards in both national and international research institutions.
Stanford University • Stanford, California
Serves as a Professor in the Department of Applied Physics and the Department of Physics.
SLAC National Accelerator Laboratory • Stanford, California
Led scientific research initiatives at SLAC.
Stanford Institute Materials Energy Sciences • Stanford, California
Oversaw research initiatives focused on materials energy sciences.
Geballe Laboratory For Advanced Materials • Stanford, California
Managed laboratory focused on advanced materials research.
Patented technology for advanced microwaves instrumentation.
Innovative solar energy harvesting technology.
Technology relating to electron emission from diamondoid structures.
Technique for imaging using microwave technology.
Patented system for microwave imaging without resonance.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.