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Joshua Stuckner
Joshua Stuckner
NASA Glenn Research Center
E-mail confirmado em nasa.gov
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AQUAMI: An open source Python package and GUI for the automatic quantitative analysis of morphologically complex multiphase materials
J Stuckner, K Frei, I McCue, MJ Demkowicz, M Murayama
Computational Materials Science 139, 320-329, 2017
762017
Real-time video imaging of mechanical motions of a single molecular shuttle with sub-millisecond sub-angstrom precision
T Shimizu, D Lungerich, J Stuckner, M Murayama, K Harano, E Nakamura
Bulletin of the Chemical Society of Japan 93 (9), 1079-1085, 2020
572020
Gaining new insights into nanoporous gold by mining and analysis of published images
I McCue, J Stuckner, M Murayama, MJ Demkowicz
Scientific reports 8 (1), 6761, 2018
472018
Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset
J Stuckner, B Harder, TM Smith
npj Computational Materials 8 (200), 2022
372022
Fracture in nanoporous gold: An integrated computational and experimental study
N Beets, J Stuckner, M Murayama, D Farkas
Acta Materialia 185, 257-270, 2020
312020
Utilizing local phase transformation strengthening for nickel-base superalloys
TM Smith, NA Zarkevich, AJ Egan, J Stuckner, TP Gabb, JW Lawson, ...
Communications Materials 2 (1), 106, 2021
242021
Indentation response of nanoporous gold from atomistic simulations
D Farkas, J Stuckner, R Umbel, B Kuhr, MJ Demkowicz
Journal of Materials Research 33 (10), 1382-1390, 2018
192018
Enhancing the creep strength of next-generation disk superalloys via local phase transformation strengthening
TM Smith, TP Gabb, KN Wertz, J Stuckner, LJ Evans, AJ Egan, MJ Mills
Superalloys 2020: Proceedings of the 14th International Symposium on …, 2020
152020
Multiscale analysis of composites using surrogate modeling and information optimal designs
SM Arnold, M Piekenbrock, TM Ricks, J Stuckner
AIAA Scitech 2020 Forum, 1863, 2020
142020
Mechanical properties of nanoporous gold subjected to tensile stresses in real-time, sub-microscopic scale
J Stuckner, M Murayama
Journal of materials science 54 (18), 12106-12115, 2019
132019
Optimal experimental design with fast neural network surrogate models
J Stuckner, M Piekenbrock, SM Arnold, TM Ricks
Computational Materials Science 200, 110747, 2021
122021
Tractable multiscale modeling with an embedded microscale surrogate
J Stuckner, S Graeber, B Weborg, TM Ricks, SM Arnold
AIAA Scitech 2021 Forum, 1963, 2021
122021
Ultra-fast electron microscopic imaging of single molecules with a direct electron detection camera and noise reduction
J Stuckner, T Shimizu, K Harano, E Nakamura, M Murayama
Microscopy and Microanalysis 26 (4), 667-675, 2020
112020
A convolutional neural network for multiscale modeling of composite materials
A Sorini, EJ Pineda, J Stuckner, PA Gustafson
AIAA Scitech 2021 Forum, 0310, 2021
92021
The Influence of Processing Conditions on the 3-D Interconnected Structure of Nanosilver Paste
JA Stuckner, GQ Lu, M Mitsuhara, WT Reynolds, M Murayama
IEEE Transactions on Electron Devices 64 (2), 494-499, 2017
92017
Predicting Unreinforced Fabric Mechanical Behavior with Recurrent Neural Networks
B Hearley, J Stuckner, E Pineda, S Murman
52022
A Robust Machine Learning Schema for Developing, Maintaining, and Disseminating Machine Learning Models
BL Hearley, SM Arnold, J Stuckner
42022
A data-driven framework to select a cost-efficient subset of parameters to qualify sourced materials
NM Senanayake, JLW Carter, CL Bowman, DL Ellis, J Stuckner
Integrating Materials and Manufacturing Innovation 11 (3), 339-351, 2022
42022
Assessing the influence of processing parameters and external loading on the nanoporous structure and morphology of nanoporous gold toward catalytic applications
J Stuckner, K Frei, SG Corcoran, WT Reynolds Jr, M Murayama
Journal of Physics and Chemistry of Solids 136, 109139, 2020
42020
A convolutional neural network for enhancement of multi-scale localization in granular metallic representative unit cells
PA Gustafson, EJ Pineda, TM Ricks, BA Bednarcyk, BL Hearley, ...
AIAA SCITECH 2022 Forum, 0078, 2022
32022
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