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Brenden W Hamilton

Staff Scientist

Los Alamos National Laboratory

United States

Research Interests

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Articles (19)

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2026

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Collaborators (6)

jean-bernard maillet

Université Paris-Saclay

FRANCE

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Md Mahbubul Islam

Assistant Professor

Wayne State University

UNITED STATES

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Alejandro Strachan

Professor

Purdue University

UNITED STATES

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Richard Messerly

Computational Scientist

Oak Ridge National Laboratory

UNITED STATES

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Ben Nebgen

Scientist

Los Alamos National Laboratory

UNITED STATES

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Edward Kober

Staff Scientist 4

Los Alamos National Laboratory

UNITED STATES

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Brenden W Hamilton

Research Interests

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Articles (19)

Experimental and calculational equation of state and melting curve of CeH2−3

Learning Thermal Response Forces: A Method for Extending the Thermodynamic Transferability of Coarse-Grained Models via Machine-Learning

Stoichiometry dependent properties of cerium hydride: An active learning developed interatomic potential study

Mott vs Kondo: Influence of various density functional based methods on the Ce isostructural phase transition mechanism

Surface and sub-surface porosity effects on the initial free surface expansion in shocked single crystal aluminum

Modeling Framework to Predict Melting Dynamics at Microstructural Defects in TNT-HMX High Explosive Composites

Thermal and mechanical influences on shear band formation and suppression in shocked 1,3,5-trinitroperhydro-1,3,5-triazine (RDX)

Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation

Atomistic Simulations of Pore Collapse Initiation and Propagation in HMX

High pressure suppression of plasticity due to an overabundance of shear embryo formation

High-pressure and temperature neural network reactive force field for energetic materials

Multiscale Reactive Model for 1,3,5-Triamino-2,4,6-trinitrobenzene Inferred by Reactive MD Simulations and Unsupervised Learning

Interplay of Mechanochemistry and Material Processes in the Graphite to Diamond Phase Transformation

Using limited neural networks to assess relative mechanistic influence on shock heating in granular solids

Many-body mechanochemistry: Intramolecular strain in condensed matter chemistry

Influence of Pore Surface Structure and Contents on Shock-Induced Collapse and Energy Localization

Intergranular Hotspots: A Molecular Dynamics Study on the Influence of Compressive and Shear Work

Rapid activation of non-oriented mechanophores via shock loading and spallation

Energy localization efficiency in 1,3,5-trinitro-2,4,6-triaminobenzene pore collapse mechanisms

Collaborators (6)

jean-bernard maillet

Md Mahbubul Islam

Alejandro Strachan

Richard Messerly

Ben Nebgen

Edward Kober

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