| Fatigue-resistant high-performance elastocaloric materials made by additive manufacturing H Hou, E Simsek, T Ma, NS Johnson, S Qian, C Cissé, D Stasak, ... Science 366 (6469), 1116-1121, 2019 | 334 | 2019 |
| Invited review: Machine learning for materials developments in metals additive manufacturing NS Johnson, PS Vulimiri, AC To, X Zhang, CA Brice, BB Kappes, ... Additive Manufacturing 36, 101641, 2020 | 247 | 2020 |
| Effect of the scanning strategy on the formation of residual stresses in additively manufactured Ti-6Al-4V M Strantza, RK Ganeriwala, B Clausen, TQ Phan, LE Levine, DC Pagan, ... Additive Manufacturing 45, 102003, 2021 | 68 | 2021 |
| Discovery of LaAlO3 as an efficient catalyst for two-electron water electrolysis towards hydrogen peroxide J Baek, Q Jin, NS Johnson, Y Jiang, R Ning, A Mehta, S Siahrostami, ... nature communications 13 (1), 7256, 2022 | 49 | 2022 |
| Calcium–magnesium aluminosilicate (CMAS) interactions with ytterbium silicate environmental barrier coating material at elevated temperatures VL Wiesner, D Scales, NS Johnson, BJ Harder, A Garg, NP Bansal Ceramics International 46 (10), 16733-16742, 2020 | 48 | 2020 |
| Evolution of the microstructure of laser powder bed fusion Ti-6Al-4V during post-build heat treatment DW Brown, V Anghel, L Balogh, B Clausen, NS Johnson, RM Martinez, ... Metallurgical and Materials Transactions A 52, 5165-5181, 2021 | 30 | 2021 |
| Invited review: machine learning for materials developments in metals additive manufacturing, Addit. Manuf. 36 (2020), 101641 NS Johnson, PS Vulimiri, AC To, X Zhang, CA Brice, BB Kappes, ... | 9 | 2020 |
| Non-destructive characterization of additive manufacturing components with computed tomography and 3D X-ray microscopy H Villarraga-Gómez, C Frederick, P Brackman, A Andreyev, Y Trenikhina, ... 13th Conference on Industrial Computed Tomography (iCT), Wels, Austria, 2024 | 5 | 2024 |
| Universal aspects of cohesion SY Lehman, LE Christman, DT Jacobs, NS Johnson, P Palchoudhuri, ... Granular matter 24 (1), 35, 2022 | 5 | 2022 |
| Direct measurement of the effective properties of an additively manufactured titanium octet truss unit cell using high energy X-ray diffraction NS Johnson, M Strantza, MJ Matthews, JS Park, P Kenesei, B Clausen, ... Materials Characterization 209, 113755, 2024 | 3 | 2024 |
| The roles of kinematic constraint and diffusion in non-equilibrium solid state phase transformations of Ti-6Al-4V NS Johnson, DW Brown, JS Carpenter, B Amin-Ahmadi, CA Brice, ... Applied Physics Letters 120 (17), 2022 | 3 | 2022 |
| In situ High Energy X-Ray Diffraction Characterization of Phase Transformations and Mechanical Behavior in Rapid Solidified Titanium and Stainless Steel Alloys NS Johnson Colorado School of Mines, 2021 | 3 | 2021 |
| Deep learning models enable high resolution reconstruction of large volume x-ray microscopy datasets NS Johnson, Y Trenikhina, H Bale, S Kelly Developments in X-Ray Tomography XV 13152, 131520U, 2024 | 1 | 2024 |
| Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys NS Johnson, AA Mishra, DJ Kirsch, A Mehta Materials 17 (16), 4038, 2024 | 1 | 2024 |
| Maximizing 3D X-ray Microscopy Data Fidelity and Throughput with Novel Deep Learning Assisted Reconstruction Algorithms B Schulz, LM Zhang, ST Kelly, N Johnson, FL Ng 13th Asia Pacific Microscopy Congress 2025 (APMC13), 374, 2025 | | 2025 |
| Deep Learning Based 3D Resolution Recovery for Breakthrough Imaging of Electrochemical Energy Devices ST Kelly, Y Trenikhina, N Johnson, W Harris Electrochemical Society Meeting Abstracts 245, 123-123, 2024 | | 2024 |
| 3D Large Volume Non-Destructive Grain Structure Characterization in Metallic Alloys Using Lab-Based Diffraction Contrast Tomography (LabDCT) H Bale, K Yanamandra, N Johnson, J Oddershede, J Sun Microscopy and Microanalysis 30 (Supplement_1), ozae044. 220, 2024 | | 2024 |
| Deep Learning Based X-ray Microscopy Reconstruction for Large Volume Correlative Characterization NS Johnson, Y Trenikhina, S Kelly, H Bale Microscopy and Microanalysis 30 (Supplement_1), ozae044. 219, 2024 | | 2024 |
| A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community SI Allec, ES Muckley, NS Johnson, CKH Borg, DJ Kirsch, J Martin, R Pant, ... Integrating Materials and Manufacturing Innovation 13 (2), 406-419, 2024 | | 2024 |
| A general indicator for the tolerance to impurities of metals and alloys ET Lund, S Huang, SA Kube, G Liu, N Johnson, W Colley, A Mehta, ... Materialia 33, 102037, 2024 | | 2024 |
Aaron StebnerAssociate Professor, Georgia Institute of Technologygatech.edu üzerinde doğrulanmış e-posta adresine sahip