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@unpublished{sccm2025,
author = "Thompson, Aidan P.",
title = "{{Accurate Large-Scale Atomistic Simulations of Dynamic Compression}}",
note = "Plenary Talk, 24th International Conference on the Science of Compression in Condensed Matter, Washington, June",
year = 2025,
}
@unpublished{snl2025,
author = "Thompson, Aidan P.",
title = "{{Machine Learning and Big Computers are Making Atomistic Simulation of Materials [even more!] Useful}}",
note = "LATTICE Seminar, Advanced Science and Technology Division, Sandia National Laboratories, Albuquerque, New Mexico, April",
year = 2025,
}
@unpublished{lanl2025,
author = "Thompson, Aidan P.",
title = "{{Large-scale Atomistic Simulation of Dynamic Materials Response}}",
note = "Seaborg Institute Seminar, Los Alamos National Laboratory, April",
year = 2025,
}
@unpublished{aps2025,
author = "Thompson, Aidan P.",
title = "{{Quantum-accurate large-scale molecular dynamics and Monte Carlo simulation of materials with LAMMPS and FitSNAP}}",
note = "APS March Meeting, Anaheim, California, March",
year = 2025,
}
@unpublished{ipam2024,
author = "Thompson, Aidan P.",
title = "{{LAMMPS and ML Potentials}}",
note = "IPAM NME Reunion, UCLA, Lake Arrowhead, California, December",
year = 2024,
}
@unpublished{llnl2024,
author = "Thompson, Aidan P.",
title = "{{Quantum-accurate large-scale atomistic simulation of materials with LAMMPS and FitSNAP}}",
note = "Materials Science Division, Lawrence Livermore National Laboratory, May",
year = 2024,
}
@unpublished{siam2024,
author = "Thompson, Aidan P.",
title = "{{SNAP and Beyond: Machine Learning Interatomic Potentials in LAMMPS}}",
note = "{SIAM} Conference on Mathematical Aspects of Materials Science, Pittsburgh, Pennsylvania, May",
year = 2024,
}
@unpublished{lanl2024,
author = "Thompson, Aidan P.",
title = "{{Quantum-accurate large-scale atomistic simulation of materials with LAMMPS and FitSNAP}}",
note = "X Computational Physics Division, Los Alamos National Laboratory, April",
year = 2024,
}
@unpublished{mrs2024,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "MRS Spring Meeting, Seattle, Washington, April",
year = 2024,
}
@unpublished{telluride2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "Telluride Science Workshop: Machine Learning and Informatics for Chemistry and Materials, Telluride, Colorado, June",
year = 2023,
}
@unpublished{temple2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "Department of Chemistry, Temple U., Philadelphia, Pennsylvania, April",
year = 2023,
}
@unpublished{hpc2023,
author = "Thompson, Aidan P.",
title = "{{LAMMPS, AI/ML Interatomic Potentials, and Leadership HPC Platforms: An Effective Approach for Modeling Fusion Materials}}",
note = "HPC User Forum, Princeton, New Jersey, April",
year = 2023,
}
@unpublished{uci2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "Department of Chemistry, UC Irvine, Irvine, California, April",
year = 2023,
}
@unpublished{ipam2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "IPAM Workshop: Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing (NME), UCLA, Los Angeles, California, March",
year = 2023,
}
@unpublished{aps2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "APS March Meeting, Las Vegas, Nevada, March",
year = 2023,
}
@unpublished{cnls2023,
author = "Thompson, Aidan P.",
title = "{{The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources}}",
note = "Center for Non-linear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, January",
year = 2023,
}
@unpublished{mmm2022,
author = "Thompson, Aidan P.",
title = "{{A General Method for Calculating Local Stress and Elastic Constants for Arbitrary Many-body Interaction Potentials in LAMMPS}}",
note = "10th International Conference on Multiscale Materials Modeling, Baltimore, Maryland, October",
year = 2022,
}
@unpublished{casus2022,
author = "Thompson, Aidan P.",
title = "{{SNAP and Beyond: Machine Learning Interatomic Potentials in LAMMPS}}",
note = "{{Workshop on Multiscale Modeling of Matter under Extreme Conditions, CASUS Institute, Görlitz, Germany, September}}",
year = 2022,
}
@unpublished{crann2022,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Data-Driven Potentials",
note = "CRANN Institute, Department of Physics, Trinity College, Dublin, June",
year = 2022,
}
@unpublished{cnls2022,
author = "Thompson, Aidan P.",
title = "{{SNAP and Beyond: Machine Learning Interatomic Potentials in LAMMPS}}",
note = "{{Center for Nonlinear Studies, CNLS Annual Conference 2022 - Physics Informed Machine Learning, Los Alamos National Laboratory, May}}",
year = 2022,
}
@unpublished{ace2022,
author = "Thompson, Aidan P.",
title = "{{SNAP and Beyond: Machine Learning Interatomic Potentials in LAMMPS}}",
note = "{{Atomic Cluster Expansion Webinar, Ruhr University, Bochum, Germany}}",
year = 2022,
}
@unpublished{cnls2021,
author = "Thompson, Aidan P.",
title = "{{High-Fidelity Large-Scale Atomistic Simulations of Materials using LAMMPS, SNAP Interatomic Potentials, and Massively Parallel Computers}}",
note = "{{Center for Nonlinear Studies Virtual Workshop, Machine Learning in Chemical and Materials Sciences, Los Alamos National Laboratory, May}}",
year = 2021,
}
@unpublished{mit2021,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Data-Driven Potentials",
note = "Center for Computational Science and Engineering, Massachusetts Institute of Technology, Cambridge, February",
year = 2021,
}
@unpublished{princeton2020,
author = "Thompson, Aidan P.",
title = "Introduction to {SNAP} {ML} potentials",
note = "Molecular Simulation with Machine Learning, Virtual Workshop, Princeton University, July",
year = 2020,
}
@unpublished{telluride2020,
author = "Thompson, Aidan P.",
title = "Machine-Learning Potentials: The Unreasonable Effectiveness of Linear Cluster Expansions",
note = "Multi-Scale Quantum Mechanical Analysis of Condensed Phase Systems: Methods and Applications, Telluride Science Research Conference, July",
year = 2020,
}
@unpublished{pnnl2020,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using SNAP Data-Driven Potentials in LAMMPS",
note = "Physics-Informed Learning Machines for Multiscale and Multiphysics Problems (PhILMs) Webinar, Pacific Northwest National Laboratory, May",
year = 2020,
}
@unpublished{acs2020,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Data-Driven Potentials",
note = "American Chemical Society, Philadelphia, April",
year = 2020,
}
@unpublished{ornl2020,
author = "Thompson, Aidan P.",
title = "Prediction of Materials Properties using {SNAP} Machine-Learned Interatomic Potentials",
note = "Artificial Intelligence for Robust Engineering \& Science, Oak Ridge National Laboratory, Tennessee, January",
year = 2020,
}
@unpublished{ecp2020,
author = "Thompson, Aidan P. and Moore, Stan and Gayatri, Rahulkumar ",
title = "Refactoring EXAALT MD for Emerging Architectures ",
note = "Exascale Computing Project Webinar Series, Best Practices for HPC Software Developers, January",
year = 2020,
}
@unpublished{unm2019,
author = "Thompson, Aidan P.",
title = "Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?",
note = "Computer Science, University of New Mexico, Albuquerque, August",
year = 2019,
}
@unpublished{llnl2019,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Data-Driven Potentials",
note = "Materials Science Division, Lawrence Livermore National Laboratory, February",
year = 2019,
}
@unpublished{lanl2019,
author = "Thompson, Aidan P.",
title = "Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?",
note = "Information Science and Technology Institute, Los Alamos National Laboratory, June",
year = 2019,
}
@unpublished{aps2019,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Data-Driven Potentials",
note = "American Physical Society, Boston, March",
year = 2019,
}
@unpublished{sccm2019,
author = "Thompson, Aidan P.",
title = "Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?",
note = "Plenary Talk, 21st Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter, Portland, June",
year = 2019,
}
@unpublished{cnls2019,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials using {SNAP} Machine-Learning Interatomic Potentials",
note = "Machine Learning for Computational Fluid and Solid Dynamics conference, Center for Non-Linear Studies, Los Alamos National Laboratory, New Mexico, February",
year = 2019,
}
@unpublished{usf2018,
author = "Thompson, Aidan P.",
title = "Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?",
note = "Physics, University of South Florida, Tampa, September",
year = 2018,
}
@unpublished{uofm2018,
author = "Thompson, Aidan P.",
title = "Molecular Dynamics Simulation: Engine of Discovery or Bridge to Nowhere?",
note = "Chemistry, University of Missouri, Columbia, September",
year = 2018,
}
@unpublished{nist2018,
author = "Thompson, Aidan P.",
title = "Automated Generation of High-Accuracy Interatomic Potentials Using Quantum Data",
note = "Artificial Intelligence for Materials Science workshop, National Institute for Standards and Technology, Gaithersburg, August",
year = 2018,
}
@unpublished{siam2018,
author = "Thompson, Aidan P.",
title = "Automated Generation of High-Accuracy Interatomic Potentials Using Quantum Data",
note = "{SIAM} Conference on Mathematical Aspects of Materials Science, July",
year = 2018,
}
@unpublished{cecam2018,
author = "Thompson, Aidan P.",
title = "Atomistic Materials Simulation Using Quantum-Accurate Interatomic Potentials",
note = "Machine Learning at Interfaces workshop, {CECAM-EPFL}, Switzerland, June",
year = 2018,
}
@unpublished{tms2018,
author = "Thompson, Aidan P.",
title = "Automated Generation of High-Accuracy Interatomic Potentials using Quantum Data",
note = "TMS Annual Meeting, Phoenix, March",
year = 2018,
}
@unpublished{anl2017,
author = "Thompson, Aidan P.",
title = "Automated Generation of High-Accuracy Interatomic Potentials using Quantum Data",
note = "Machine Learning and Data Science in Materials Modeling, Imaging and Applications, Argonne National Laboratory, May",
year = 2017,
}
@unpublished{cecam2016,
author = "Thompson, Aidan P.",
title = "{LAMMPS}: A general open-source framework for particle-based simulation of materials on multiple scales",
note = "{CECAM} Workshop on Multiscale Simulation, University College Dublin, Ireland, September",
year = 2016,
}
@unpublished{ucc2016,
author = "Thompson, Aidan P.",
title = "Predictive Atomistic Simulations of Materials Using {LAMMPS}",
note = "Tyndall Institute, University College Cork, Ireland, September",
year = 2016,
}
@unpublished{ipam2015,
author = "Thompson, Aidan P.",
title = "Atomistic Materials Simulation Using Quantum-Accurate Interatomic Potentials",
note = "Machine Learning for Many-Particle Systems, Institute for Pure \& Applied Mathematics, UCLA, February",
year = 2015,
}
@unpublished{ses2014,
author = "Thompson, Aidan P.",
title = "Large-Scale Atomistic Materials Simulation Using Quantum-Accurate Interatomic Potentials",
note = "Society of Engineering Science Technical Meeting, Purdue University, Indiana, October",
year = 2014,
}
@unpublished{mrs2014,
author = "Thompson, Aidan P.",
title = "Large-Scale Atomistic Materials Simulation Using Quantum-Accurate Interatomic Potentials",
note = "MRS Spring Meeting, San Francisco, March",
year = 2014,
}
@unpublished{sccm2013,
author = "Thompson, Aidan P.",
title = "Large-Scale Reactive Atomistic Simulation of Shock-induced Initiation Processes in Energetic Materials",
note = "18th Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter, Seattle, July",
year = 2013,
}
@unpublished{unm2013,
author = "Thompson, Aidan P.",
title = "Large-Scale Atomistic Materials Modeling Using Quantum-Accurate Interatomic Potentials",
note = "Chemical Engineering, University of New Mexico, Albuquerque, September",
year = 2013,
}
@unpublished{acs2013,
author = "Thompson, Aidan P.",
title = "Large-scale reactive atomistic simulation of shock-induced initiation processes energetic materials",
note = "American Chemical Society, Indianapolis, September",
year = 2013,
}
@unpublished{caltech2011,
author = "Thompson, Aidan P.",
title = "{LAMMPS}: Overview, Timescale Acceleration Methods, and Advanced Interatomic Potentials",
note = "Center For Materials Simulation, Caltech, Pasadena, June",
year = 2011,
}
@unpublished{ornl2010,
author = "Thompson, Aidan P.",
title = "Large Scale Molecular Dynamics Simulation Using Reactive Interatomic Potentials in {LAMMPS}",
note = "Next Generation Force Fields for Nanoscience workshop, Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Tennessee, September",
year = 2010,
}