Logan Williams

Idaho National Laboratory — United States

Materials Science · Physical Sciences

13h-index857citations45works2.92yr avg
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Research Topics

Machine Learning in Materials Science(9), GaN-based semiconductor devices and materials(7), Advancements in Battery Materials(6), Metal and Thin Film Mechanics(6), Perovskite Materials and Applications(5)

Publications45 total

Abstract A002: Comprehensive blood profiling for immunotherapy outcome prediction and longitudinal immune trajectory characterisation
Cancer Immunology Research·2025
Industrial Energy Forecasting Using Machine Learning and Plant Activity Metrics
2025
Optimization, Modeling, and Comparison of Nuclear Powered Remote Microgrid Integrated Energy Systems
SSRN Electronic Journal·2025Open Access
Solution-phase indexing by kinetic confinement enables rapid, simple, and instrument-free single cell transcriptional profiling
2024Open Access
Efficient data processing using tunable entropy-stabilized oxide memristors
Nature Electronics·2024· 17 cited
Active learning for SNAP interatomic potentials via Bayesian predictive uncertainty
Computational Materials Science·2024· 3 citedOpen Access
Nuclear Integrated Energy System to Provide Power and Water to El Hierro, Spain
2024
Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures
The Journal of Physical Chemistry C·2023· 2 cited
FitSNAP: Atomistic machine learning with LAMMPS
The Journal of Open Source Software·2023· 46 citedOpen Access
Antimony nanobelt asymmetric membranes for sodium ion battery
Nanotechnology·2023· 2 citedOpen Access
Antimony Nanobelt Asymmetric Membranes for High Capacity Sodium Ion Battery Anodes
ECS Meeting Abstracts·2022
Active Learning of SNAP Potentials using Bayesian Uncertainty Estimation.
2022Open Access
Uncertainty Quantification of Machine Learning Interatomic Potential Models.
2022Open Access
Effects of local compositional and structural disorder on vacancy formation in entropy-stabilized oxides from first-principles
npj Computational Materials·2022· 44 citedOpen Access
Quantification and Propagation of Uncertainties in Machine Learning Interatomic Potentials for Molecular Dynamics.
2022Open Access
Correction to: Molybdenum oxide nanoporous asymmetric membranes for high‑capacity lithium ion battery anode
Journal of materials research/Pratt's guide to venture capital sources·2021
Molybdenum oxide nanoporous asymmetric membranes for high-capacity lithium ion battery anode
Journal of materials research/Pratt's guide to venture capital sources·2021· 3 cited
Engineering new limits to magnetostriction through metastability in iron-gallium alloys
Nature Communications·2021· 39 citedOpen Access
Quantum signatures for screening metavalent solids
The Journal of Chemical Physics·2021· 11 cited
Monitoring the role of site chemistry on the formation energy of perovskites <i>via</i> deep learning analysis of Hirshfeld surfaces
Journal of Materials Chemistry C·2021· 9 cited
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Frequent Co-authors

Emmanouil Kioupakis(22), Pierre F. P. Poudeu(7), John T. Heron(6), Ji Wu(6), Alan Olvera(5), Khachik Sargsyan(5), Congrui Jin(5), Zihao Deng(4), Guangsha Shi(4), Arpan Mukherjee(4), Emilee Larson(4), Habib N. Najm(4), Jake DiCesare(4), Olivia Sheppard(4), Joseph Casamento(3), Juan Lopez(3), Krishna Rajan(3), Kevin P. Greenman(3), Peter Meisenheimer(2), Suk Hyun Sung(2)