| Microstructure and property based statistically equivalent RVEs for intragranular γ− γ'microstructures of Ni-based superalloys M Pinz, G Weber, WC Lenthe, MD Uchic, TM Pollock, S Ghosh Acta Materialia 157, 245-258, 2018 | 47 | 2018 |
| Machine learning-aided parametrically homogenized crystal plasticity model (PHCPM) for single crystal Ni-based superalloys G Weber, M Pinz, S Ghosh Jom 72 (12), 4404-4419, 2020 | 25 | 2020 |
| Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys G Weber, M Pinz, S Ghosh Computer Methods in Applied Mechanics and Engineering 402, 115384, 2022 | 18 | 2022 |
| Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys M Pinz, G Weber, JC Stinville, T Pollock, S Ghosh npj Computational Materials 8 (1), 39, 2022 | 18 | 2022 |
| Explaining the “Bomb-Like” Dynamics of COVID-19 with Modeling and the Implications for Policy G Lin, AT Strauss, M Pinz, DA Martinez, KK Tseng, E Schueller, O Gatalo, ... | 13 | 2020 |
| A microstructure-based porous crystal plasticity FE model for additively manufactured Ti-6Al-4V alloys M Pinz, JT Benzing, A Pilchak, S Ghosh International Journal of Plasticity 153, 103254, 2022 | 12 | 2022 |
| Role of exterior statistics-based boundary conditions for property-based statistically equivalent representative volume elements of polydispersed elastic composites DV Kubair, M Pinz, K Kollins, C Przybyla, S Ghosh Journal of Composite Materials 52 (21), 2919-2928, 2018 | 11 | 2018 |
| Generating 3D virtual microstructures and statistically equivalent RVEs for subgranular gamma-gamma’microstructures of nickel-based superalloys M Pinz, G Weber, S Ghosh Computational Materials Science 167, 198-214, 2019 | 9 | 2019 |
| Efficient computational framework for image-based micromechanical analysis of additively manufactured Ti-6Al-4V alloy M Pinz, S Storck, T Montalbano, B Croom, N Salahudin, M Trexler, ... Additive Manufacturing 60, 103269, 2022 | 4 | 2022 |
| Multi-scale microstructure and property-based statistically equivalent rves for modeling nickel-based superalloys S Ghosh, G Weber, M Pinz, A Bagri, TM Pollock, W Lenthe, JC Stinville, ... Integrated Computational Materials Engineering (ICME) Advancing …, 2020 | 2 | 2020 |
| Data-Driven Bayesian Model for Predicting Fatigue Crack Nucleation in Polycrystalline Ni-based Superalloys S Ghosh, G Weber, M Pinz AIAA SCITECH 2023 Forum, 2036, 2023 | | 2023 |
| Statistical and Computational Approaches in ICME with Applications in Fatigue and Additive Manufacturing MA Pinz Johns Hopkins University, 2022 | | 2022 |
| Modeling the “Bomb-Like” Dynamics of COVID-19 with Undetected Transmissions and the Implications for Policy G Lin, A Bhaduri, AT Strauss, M Pinz, DA Martinez, KK Tseng, O Gatalo, ... medRxiv, 2020.04. 05.20054338, 2020 | | 2020 |
| Explaining the Bomb-Like Dynamics of COVID-19 with Modeling and the Implications for Policy (preprint) G Lin, A Bhaduri, AT Strauss, M Pinz, DA Martinez, KK Tseng, A Gaynor, ... | | 2020 |
| Two Dimensional Depletion Interactions with Attractive Depletants MA Pinz Johns Hopkins University, 2015 | | 2015 |
Somnath GhoshM. G. Callas Chair Professor, Johns Hopkins Univ., Prev. Nordholt Prof., The Ohio State Univ.E-mail megerősítve itt: jhu.edu
