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Publication	Type	Year
Microstructure-Sensitive UQ for Materials Constitutive Models in Crystal Plasticity Finite Element Method USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP) Anh Tran, Timothy Michael Wildey, Hojun Lim	Conference Poster – 2022 Conference Poster	2022
Characterizing and Propagating Model Discrepancy in PDE-Constrained Optimization USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling Joseph Lee Hart, Bart G van Bloemen Waanders	Conference Poster – 2022 Conference Poster	2022
Feature Pathway Detection using Random Forest Regressor Feature Importances American Geophysical Union 2022 Matthew Gregor Peterson, Irina Kalashnikova Tezaur, Jeffrey Nichol	Abstract – 2022 Abstract	2022
Multifidelity DRAM Simulation in SST Workshop on Modeling and Simulation of Systems and Applications Patrick Robert Lavin, Ryan Lynch, Jeffrey Young, Richard Vuduc	Conference Presentation – 2022 Conference Presentation	2022
PyApprox: Enabling efficient model analysis John Davis Jakeman https://www.osti.gov/search/identifier:1879614	SAND Report – 2022 SAND Report	2022
Training Data Selection for Accuracy and Transferability of Interatomic Potentials npj Computational Materials David Montes de Oca Zapiain, Mitchell Wood, Nicholas Lubbers, Carlos Z. Pereyra, Aidan P. Thompson, Danny Perez4	Journal Article – 2022 Journal Article	2022
Unique Experimental Algorithms for National-Security Applications Symposium on Experimental Algorithms Cynthia Ann Phillips	Conference Presentation – 2022 Conference Presentation	2022
Multi-task Machine Learning for Fusion Simulations USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling William Lewis, Kathryn Anne Maupin, Anh Tran, Patrick Knapp	Conference Poster – 2022 Conference Poster	2022
Permutation-adapted complete and independent basis for atomic cluster expansion descriptors James Michael Goff, Charles Sievers, Mitchell Wood, Aidan P. Thompson https://www.osti.gov/search/identifier:1879613	Report – 2022 Report	2022
Predicting accurate ab initio DNA electron densities with equivariant neural networks Dna28 Alex Lee, William Bricker, Joshua Rackers	Conference Poster – 2022 Conference Poster	2022
ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems Cluster 2022 Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Raad Aaziz, Brian Kulis, Ayse K. Coskun, Vitus J. Leung, James M. Brandt	Conference Proceeding – 2022 Conference Proceeding	2022
PDE-Constrained Optimization for Ice-Sheet Initialization Iccopt 2022 Mauro Perego	Conference Presentation – 2022 Conference Presentation	2022
Simulating Radiation-Induced Shocks in Thermal Spray Coating Materials Could Help Protect Diagnostic Equipment at Pulsed Power Facilities Jimmy Carleton, Theron Rodgers, Mikhail Mesh, Corbett C. Battaile, William M. Scherzinger, Jason James Sanchez, Dan Stefan Bolintineanu, Carianne Martinez, Donald Eugene Bruss, Aaron Jeffrey Olson, Brian C. Franke, Shawn D. Pautz, Nathan W. Moore	Marketing or Promotional – 2022 Marketing or Promotional	2022
Linear Algebra and Computing: Behind the Scenes MARTIANS Intern Seminar (Sandia) Jennifer Ann Loe	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance eScience 2022 Dominic Kennedy, Paula Olaya, Gerald Fredrick Lofstead, Rodrigo Vargas, Michela Taufer	Conference Poster – 2022 Conference Poster	2022
Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys Gordon Research Conference - Computational Materials Science and Engineering Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood	Conference Poster – 2022 Conference Poster	2022
Tin as a nuclear spin qubit in silicon Silicon Quantum Electronics Workshop Wayne Witzel, Jesse James Lutz, DeAnna Marie Campbell, Troy Alexander Hutchins-Delgado, Tzu-Ming Lu, David Abraham Lidsky, Chris Smyth, Chris Allemang, Paul G. Kotula, and Dwight R. Luhman	Abstract – 2022 Abstract	2022
NoMoPy: Noise Modeling in Python 2022 Silicon Quantum Electronics Workshop Dylan Albrecht, Noah Tobias Jacobson	Abstract – 2022 Abstract	2022
FitSNAP: Machine Learned Potentials for LAMMPS Gordon Research Conference (Computational Materials Science and Engineering) Andrew Dale Rohskopf, Charlie Sievers, Megan Jeanne McCarthy, James Michael Goff, Ember Layne Sikorski, Aidan P. Thompson, Mitchell Wood	Conference Poster – 2022 Conference Poster	2022
A Tiered Approach to Scientific Software Quality Practices SEA's Improving Scientific Software Conference and Tutorials 2022 Miranda Rose Mundt Brandenburg, P. Wade Burgess, Dena Vigil	Conference Proceeding – 2022 Conference Proceeding	2022
An inexact trust-region algorithm for nonsmooth nonconvex optimization International Conference on Continuous Optimization Drew Philip Kouri	Conference Presentation – 2022 Conference Presentation	2022
Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework AGU Fall Meeting 2022 Teresa Portone, Laura Painton Swiler, Eduardo Basurto, Dusty Marie Brooks, Aubrey Celia Eckert, Rosemary Claire Leone, Paul Mariner, Mariah Lee Smith, Emily Stein	Abstract – 2022 Abstract	2022
Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation International Conference on Neuromorphic Systems William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Get ROL-ing: An Introduction to Sandia's Rapid Optimization Library International Conference on Continuous Optimization Drew Philip Kouri, Denis Ridzal, Gregory John von Winckel, Aurya Javeed	Conference Presentation – 2022 Conference Presentation	2022
Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale Aps Gsccm 2022 Michael Neil Sakano, Judith Alice Brown, Julia M Hartig, Dan Stefan Bolintineanu, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Document Title	Type	Year

Results 1–25 of 11,790

Publications

Microstructure-Sensitive UQ for Materials Constitutive Models in Crystal Plasticity Finite Element Method

Characterizing and Propagating Model Discrepancy in PDE-Constrained Optimization

Feature Pathway Detection using Random Forest Regressor Feature Importances

Multifidelity DRAM Simulation in SST

PyApprox: Enabling efficient model analysis

Training Data Selection for Accuracy and Transferability of Interatomic Potentials

Unique Experimental Algorithms for National-Security Applications

Multi-task Machine Learning for Fusion Simulations

Permutation-adapted complete and independent basis for atomic cluster expansion descriptors

Predicting accurate ab initio DNA electron densities with equivariant neural networks

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems

PDE-Constrained Optimization for Ice-Sheet Initialization

Simulating Radiation-Induced Shocks in Thermal Spray Coating Materials Could Help Protect Diagnostic Equipment at Pulsed Power Facilities

Linear Algebra and Computing: Behind the Scenes

Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys

Tin as a nuclear spin qubit in silicon

NoMoPy: Noise Modeling in Python

FitSNAP: Machine Learned Potentials for LAMMPS

A Tiered Approach to Scientific Software Quality Practices

An inexact trust-region algorithm for nonsmooth nonconvex optimization

Discrete fracture network modeling and uncertainty analysis in Geologic Disposal Safety Assessment Framework

Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation

Get ROL-ing: An Introduction to Sandia's Rapid Optimization Library

Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale