Scholar
Peimeng Yin
Google Scholar ID: zrviD9YAAAAJ
University of Texas at El Paso
Citations & Impact
Citations
241
H-index
11
i10-index
12
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, such as 'A positivity-preserving hybrid DDG method for Poisson--Nernst--Planck systems' in the Journal of Computational Physics, 'A structure-preserving relaxation Crank-Nicolson finite element method for the Schrödinger-Poisson equation' in the IMA Journal of Numerical Analysis, and 'Towards dynamical low-rank approximation for neutrino kinetic equations. Part I: Analysis of an idealized relaxation model' in Mathematics of Computation, among others.
Research Experience
- Worked as a Postdoctoral Research Associate in Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), a Research Assistant Professor (research-track) in the Department of Radiation Oncology at the University of Kansas Medical Center, and a Post-Doc Fellow in the Department of Mathematics at Wayne State University.
Education
- Received his Ph.D. degree in Mathematics from Iowa State University in 2019, under the supervision of Prof. Hailiang Liu and Prof. Songting Luo.
Background
- Research interests include computational and applied mathematics, with a focus on numerical analysis, partial differential equations, scientific computing, and data science. His work involves rigorous mathematical analysis, the design and implementation of accurate and efficient numerical algorithms, and their applications in physics, astrophysics, engineering, biology, energy, and oncology.
Co-authors