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Author

Henry W. Sprueill

Observed names: Henry Sprueill, Sprueill, Henry, Sprueill, Henry W, Sprueill, Henry W.
ORCID: 0000-0002-7981-4175
Observed ORCID: 0000-0002-7981-4175
OpenAlex ID: A5000542721
Machine-learning-enabled on-the-fly analysis of RHEED patterns during thin film deposition by molecular beam epitaxy
2025 · Tiffany C. Kaspar, Sarah Akers, et al. · Journal of Vacuum Science & Technology A Vacuum Surfaces and Films · 19
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
2023 · Henry Sprueill, Carl Edwards, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 7
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Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units
2024 · Hatem Helal, Jesun Firoz, et al. · Journal of Chemical Information and Modeling · 6
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback
2024 · Sprueill, Henry W., Edwards, Carl, et al. · arXiv (Cornell University) · 6
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Active sampling for neural network potentials: Accelerated simulations of shear-induced deformation in Cu–Ni multilayers
2023 · Henry W. Sprueill, Jenna A. Bilbrey, et al. · The Journal of Chemical Physics · 5
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Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
2025 · Jesun Sahariar Firoz, Franco Pellegrini, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 2
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ChemReasoner - Catalyst Discovery via Large Language Model-driven Reasoning( 32832-E)
2026 · Choudhury, Sutanay, Sprueill, Henry W, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Assessing universal MLIP robustness with per-atom uncertainty for simulations of solid-liquid interfaces
2026 · Jenna A. Bilbrey, Jesun S. Firoz, et al. · npj Computational Materials
pnnl/chemreasoner
2024 · Choudhury, Sutanay, Sprueill, Henry, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
2022 · Bilbrey, Jenna A., Herman, Kristina M., et al. · arXiv (Cornell University)
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pnnl/Active-Sampling-for-Atomistic-Potentials
2022 · Sprueill, Henry, Pope, Jenna (Bilbrey), et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Works count: 15
Citation count: 45
H-index: 5
I10-index: 1
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