Managing Randomness to Enable Reproducible Machine Learning
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Publications
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Jump to search filtersRecent Advances in Maxwell Solvers for PIC Simulations Across Architectures
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Trajectory Anomaly Detection
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Robust State Estimation of Feeding-Blending Systems in Continuous Pharmaceutical Manufacturing
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A Numerical Compact Photocurrent Model and its Implementation via Xyce-PyMi
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Verification, Validation & Uncertainty Quantification
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A reduced space simultaneous approach for optimization of nonlinear index-1 differential algebraic equations
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Modeling Spall in Additively Manufactured Steel With Local-Nonlocal Coupling
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Resilient Kokkos: Resilient Execution Spaces
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Multilevel Estimators for Measures of Robustness in Optimization under Uncertainty
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How LAMMPS works internally
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Efficient DNN Architectures for Time Series Classification
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Verification Testing for Multiphysics Codes
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Benchmarking consistent observable and material properties from an average-atom model to predictions from TDDFT
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Assessing the Efficacy of Universal Differential Equations to Learn Missing Dynamics from a Subset of Observable State Variables
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Improved vertical remapping accuracy
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Multi-fidelity Machine Learning
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Perfection is the Enemy of Fast: The Case for Mathematically Induced Parallelism
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Developing a Dataset of Confined Ionic Liquid Properties for Machine Learning Applications
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Solving Stochastic Inverse Problems for Property-Structure Relationships in Computational Materials Science
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Scalable Parallel Nonlinear Optimization with PyNumero and Parapint
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Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review
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Towards a Culture of Continuous Learning and Improvement within RSE Teams
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Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators
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Whirlwind tour of more advanced topics
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