| Deep learning for automated defect detection in high-reliability electronic parts EA Donahue, TT Quach, K Potter, C Martinez, M Smith, CD Turner Applications of Machine Learning 11139, 30-40, 2019 | 13 | 2019 |
| Failure classification of porous additively manufactured parts using Deep Learning KL Johnson, D Maestas, JM Emery, MD Grigoriu, MD Smith, C Martinez Computational Materials Science 204, 111098, 2022 | 12 | 2022 |
| Segmentation certainty through uncertainty: Uncertainty-refined binary volumetric segmentation under multifactor domain shift C Martinez, KM Potter, MD Smith, EA Donahue, L Collins, JP Korbin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques JP Korbin, D Peterson, MD Smith, C Martinez, C Snider, KM Potter US Patent 10,867,415, 2020 | 3 | 2020 |
| Feature anomaly detection system (FADS) for intelligent manufacturing A Garland, K Potter, M Smith arXiv preprint arXiv:2204.10318, 2022 | 1 | 2022 |
| Uncertainty-refined image segmentation under domain shift C Martinez, KM Potter, E Donahue, MD Smith, CJ Snider, JP Korbin, ... US Patent App. 17/832,477, 2022 | | 2022 |
| Uncertainty-refined image segmentation under domain shift C Martinez, KM Potter, E Donahue, MD Smith, CJ Snider, JP Korbin, ... US Patent 11,379,991, 2022 | | 2022 |
| Credible, Automated Meshing of Images (CAMI). SA Roberts, B Donohoe, C Martinez, M Krygier, B Hernandez-Sanchez, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
| Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks K Potter, S Sleder, M Smith, S Perera, A Yilmaz, J Tencer Proceedings of the IEEE/CVF International Conference on Computer Vision, 904-912, 2021 | | 2021 |
| CT segmentation of woven composite materials over shifted domains via deep learning. C Martinez, B Donohoe, MD Smith, SA Roberts Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Data-driven Performance Prediction in Additive Manufacturing Components Using Deep Learning. K Johnson, D Maestas, MC Smith, C Martinez, S Sleder, JM Emery Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020 | | 2020 |
| A New Paradigm for Materials Science Failure Prediction Using Deep Learning. D Maestas, K Johnson, MD Smith Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Deep Learning the Advection in Eulerian Hydrocodes P Yeh, KT Wolf, S Bowie, C Martinez, K Potter, C Snider, M Smith, ... APS Division of Fluid Dynamics Meeting Abstracts, M01. 001, 2019 | | 2019 |
| Machine Learning (ML) Infrastructure and Applied Research for Nuclear Deterrence. MD Smith Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Investigating Machine Learning Based X-Ray Computed Tomography Reconstruction Methods to Enhance the Accuracy of CT Scans. C Martinez, JP Korbin, KM Potter, E Donahue, JD Gamet, MD Smith Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Deep Learning with Per-Voxel Uncertainty Quantification for Volumetric Segmentation of Battery Electrode Images. C Martinez, KM Potter, MD Smith, SA Roberts Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Slycat v 2.0 N None, M Letter, C Snider, M Smith, J Gittinger, S Martin, S Bernard, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Accelerated Modeling-Physics constrained Machine Learning (ML). MD Smith, JP Korbin, C Martinez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Modeling in an Imperfect WorldDigital Twins and Batteries. KM Potter, C Martinez, JP Korbin, D Peterson, MD Smith, SA Roberts Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | | 2019 |
| Physics-informed deep learning model for predicting ballistic coefficients of explosively driven fragments P Yeh, K Potter, C Martinez, M Smith, C Snider, J Korbin, S Attaway Bulletin of the American Physical Society 63, 2018 | | 2018 |
Scott A. RobertsDistinguished Research & Development Chemical Engineer, Sandia National LaboratoriesVerified email at sandia.gov
