
Renyuan Xu
· Assistant Professor of Management Science and EngineeringStanford University · Management Science and Engineering
Active 1993–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
I am currently an assistant professor in the Department of Management Science and Engineering at Stanford University. My research interests include mathematical finance, stochastic analysis, stochastic controls and games, and machine learning theory. I am also interested in interdisciplinary topics that integrate methodologies in multiple fields such as applied probability, statistics, and optimization, along with their applications in addressing high-stake decision-making problems in modern large-scale systems, such as financial and economic systems.
Research topics
- Composite material
- Nanotechnology
- Materials science
- Chemistry
- Optoelectronics
- Chemical engineering
- Metallurgy
- Engineering
Selected publications
Capturing the swelling of solid-electrolyte interphase in lithium metal batteries
Science · 2022 · 430 citations
Although liquid-solid interfaces are foundational in broad areas of science, characterizing this delicate interface remains inherently difficult because of shortcomings in existing tools to access liquid and solid phases simultaneously at the nanoscale. This leads to substantial gaps in our understanding of the structure and chemistry of key interfaces in battery systems. We adopt and modify a thin film vitrification method to preserve the sensitive yet critical interfaces in batteries at native…
Nature Energy · 2021 · 396 citations
Nature Chemistry · 2024-12-02 · 165 citations
articleOpen accessNature Water · 2024-10-24 · 52 citations
articleNano Letters · 2025-01-21 · 27 citations
articleThe aqueous zinc metal battery holds great potential for large-scale energy storage due to its safety, low cost, and high theoretical capacity. However, challenges such as corrosion and dendritic growth necessitate controlled zinc deposition. This study employs epitaxy to achieve large-area, dense, and ultraflat zinc plating on textured copper foil. High-quality copper foils with Cu(100), Cu(110), and Cu(111) facets were prepared and systematically compared. The results show that Cu(111) is the…
Frequent coauthors
- 43 shared
Yi Cui
Stanford University
- 41 shared
Kejie Zhao
- 17 shared
Yusheng Ye
Jinan Institute of Quantum Technology
- 16 shared
E. Wyn‐Jones
University of Salford
- 16 shared
J. F. Holzwarth
Aixtron (Germany)
- 15 shared
Xueling Fan
Xi'an Jiaotong University
- 15 shared
David Boyle
Stanford University
- 14 shared
Gary J. Cheng
Purdue University West Lafayette
Labs
Renyuan Xu LabPI
Education
- 2019
Ph.D., Department of Industrial Engineering and Operations Research
University of California, Berkeley
Awards & honors
- NSF CAREER Award in 2024
- SIAM Activity Group on Financial Mathematics and Engineering…
- Two JP Morgan AI Faculty Research Awards in 2022 and 2025
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