Andrew Gillette

Lawrence Livermore National Laboratory — United States

Engineering · Physical Sciences

11h-index428citations63works3.02yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(32), Computational Geometry and Mesh Generation(16), Numerical methods in engineering(11), Advanced Numerical Analysis Techniques(11), Electromagnetic Simulation and Numerical Methods(8)

Publications63 total

Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
SSRN Electronic Journal·2026Open Access
Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
arXiv (Cornell University)·2025Open Access
Leveraging interpolation models and error bounds for verifiable scientific machine learning
Journal of Computational Physics·2025· 4 citedOpen Access
Algorithm 1049: The Delaunay Density Diagnostic
ACM Transactions on Mathematical Software·2024· 1 citedOpen Access
Toward digital design at the exascale: An overview of project ICECap
Physics of Plasmas·2024· 9 citedOpen Access
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
arXiv (Cornell University)·2024Open Access
A multifidelity Bayesian optimization method for inertial confinement fusion design
Physics of Plasmas·2024· 9 citedOpen Access
Learning Robust Marking Policies for Adaptive Mesh Refinement
SIAM Journal on Scientific Computing·2024· 4 citedOpen Access
Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2024Open Access
A multifidelity Bayesian optimization method for inertial confinement fusion design
arXiv (Cornell University)·2023Open Access
Multi-Objective Adaptive Mesh Refinement Using Reinforcement Learning
2023Open Access
Learning robust marking policies for adaptive mesh refinement
arXiv (Cornell University)·2022· 1 citedOpen Access
The Delaunay Density Diagnostic
arXiv (Cornell University)·2022Open Access
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake
ACM Transactions on Mathematical Software·2022· 7 citedOpen Access
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake
arXiv (Cornell University)·2021Open Access
Nonstandard finite element de Rham complexes on cubical meshes
BIT Numerical Mathematics·2019· 11 cited
Extending Discrete Exterior Calculus to a Fractional Derivative
Computer-Aided Design·2019· 3 citedOpen Access
Computational Serendipity and Tensor Product Finite Element Differential Forms
SMAI Journal of Computational Mathematics·2019· 1 citedOpen Access
Computational Serendipity and Tensor Product Finite Element Differential\n Forms
arXiv (Cornell University)·2018Open Access
Nonstandard finite element de Rham complexes on cubical meshes
arXiv (Cornell University)·2018· 1 citedOpen Access
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Frequent Co-authors

Chandrajit Bajaj(20), Alexander Rand(9), Peter M. Kekenes–Huskey(4), J. Andrew McCammon(4), Samrat Goswami(4), Jingyi Wang(3), Nai-Yuan Chiang(3), J. L. Peterson(3), Tyler Kloefkorn(3), Johan Hake(2), Andrew D. McCulloch(2), Michael Holst(2), Snorre H. Christiansen(2), Kaibo Hu(2), Shuo Zhang(2), Eugene Kur(2), Justin Crum(2), Joshua A. Levine(2), Brendan Keith(2), Socratis Petrides(2)