Carl Tim Kelley is affiliated with North Carolina State University in the United States. Their research spans multiple fields including Mathematics, Computer Science, and Physics and Astronomy, with a focus on subfields such as Numerical Analysis, Computational Theory and Mathematics, Atomic and Molecular Physics, and Materials Chemistry.
The scientist's main research topics include Matrix Theory and Algorithms, Iterative Methods for Nonlinear Equations, Nuclear Reactor Physics and Engineering, Nuclear Physics and Applications, Advanced Optimization Algorithms Research, Model Reduction and Neural Networks, and Numerical Methods and Algorithms.
Key recent publications by Carl Tim Kelley include: Newton's Method in Mixed Precision (2022) published in SIAM Review; Mesh Independence of the Generalized Davidson Algorithm (2020) in Journal of Computational Physics; as well as collaborative works such as Efficient Approximation of Potential Energy Surfaces with Mixed-Basis Interpolation (2021) in Journal of Chemical Theory and Computation, Interpolation Methods for Molecular Potential Energy Surface Construction (2021) in The Journal of Physical Chemistry A, and Anderson Acceleration for a Class of Nonsmooth Fixed-Point Problems (2021) in SIAM Journal on Scientific Computing.
Frequent coauthors include Zachary Morrow, Hyuk-Yong Kwon, Elena Jakubíková, Ilham Variansyah, and Ryan G. McClarren, each having collaborated on multiple publications.
Kelley has contributed books published by the Society for Industrial and Applied Mathematics, notably Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia (2022).
Publication venues where Carl Tim Kelley has frequently published include arXiv (Cornell University), Nuclear Science and Engineering, SIAM Journal on Scientific Computing, SIAM Review, and Journal of Chemical Theory and Computation.
The scientist has been recognized with honors such as the SIAM Fellow title in 2009 for contributions to nonlinear equations, optimization, and flow in porous media, and was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2018.
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