| Implications of gnomonic distortion on electron backscatter diffraction and transmission Kikuchi diffraction CM Fancher, MJ Burch, S Patala, EC Dickey Journal of Microscopy 285 (2), 85-94, 2022 | 1 | 2022 |
| Phase Boundary Segregation in Multicomponent Alloys: A Diffuse-Interface Thermodynamic Model SB Kadambi, S Patala arXiv preprint arXiv:2201.03117, 2022 | | 2022 |
| Interphase boundary segregation and precipitate coarsening resistance in ternary alloys: An analytic phase-field model describing chemical effects SB Kadambi, F Abdeljawad, S Patala Acta Materialia 197, 283-299, 2020 | 7 | 2020 |
| Application of Monte Carlo techniques to grain boundary structure optimization in silicon and silicon-carbide M Guziewski, AD Banadaki, S Patala, SP Coleman Computational Materials Science 182, 109771, 2020 | 20 | 2020 |
| Vacancy diffusion in multi-principal element alloys: The role of chemical disorder in the ordered lattice SL Thomas, S Patala Acta Materialia 196, 144-153, 2020 | 42 | 2020 |
| A phase-field approach for modeling equilibrium solute segregation at the interphase boundary in binary alloys SB Kadambi, F Abdeljawad, S Patala Computational Materials Science 175, 109533, 2020 | 15 | 2020 |
| Constrained Bayesian Nonparametric Regression for Grain Boundary Energy Predictions H Wang, S Patala, BJ Reich arXiv preprint arXiv:2002.00938, 2020 | | 2020 |
| Basis functions on the grain boundary space: Theory JK Mason, S Patala arXiv preprint arXiv:1909.11838, 2019 | 4 | 2019 |
| Short-range order structure motifs learned from an atomistic model of a Zr50Cu45Al5 metallic glass JJ Maldonis, AD Banadaki, S Patala, PM Voyles Acta Materialia 175, 35-45, 2019 | 31 | 2019 |
| Understanding grain boundaries–The role of crystallography, structural descriptors and machine learning S Patala Computational Materials Science 162, 281-294, 2019 | 34 | 2019 |
| Data for Motif Extraction from Zr50Cu45Al5 Metallic Glass Models JJ Maldonis, AD Banadaki, S Patala, PM Voyles Materials Data Facility, 2018 | | 2018 |
| An efficient Monte Carlo algorithm for determining the minimum energy structures of metallic grain boundaries AD Banadaki, MA Tschopp, S Patala Computational Materials Science 155, 466-475, 2018 | 31 | 2018 |
| Point-pattern matching technique for local structural analysis in condensed matter AD Banadaki, JJ Maldonis, PM Voyles, S Patala arXiv preprint arXiv:1811.06098, 2018 | 8 | 2018 |
| An Efficient Monte Carlo Algorithm for Determining the Minimum Energy Structures of Metallic Grain Boundaries A Dehghan Banadaki, MA Tschopp, S Patala arXiv e-prints, arXiv: 1805.10349, 2018 | | 2018 |
| Thermodynamic stabilization of precipitates through interface segregation: Chemical effects SB Kadambi, S Patala Physical Review Materials 1 (4), 043604, 2017 | 16 | 2017 |
| A three-dimensional polyhedral unit model for grain boundary structure in fcc metals AD Banadaki, S Patala npj Computational Materials 3 (1), 13, 2017 | 42 | 2017 |
| Approximating coincidence–turning a new page for bicrystallography S Patala Acta Crystallographica Section A: Foundations and Advances 73 (2), 85-86, 2017 | 3 | 2017 |
| Mapping 180 polar domains using electron backscatter diffraction and dynamical scattering simulations MJ Burch, CM Fancher, S Patala, M De Graef, EC Dickey Ultramicroscopy 173, 47-51, 2017 | 18 | 2017 |
| Imaging 180 Polarization Reversal in Ferroelectric Oxides with Electron Backscatter Diffraction MJ Burch, CM Fancher, S Patala, EC Dickey Microscopy and Microanalysis 22 (S3), 1822-1823, 2016 | | 2016 |
| A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains M Seita, M Volpi, S Patala, I McCue, CA Schuh, MV Diamanti, ... Npj Computational Materials 2 (1), 1-5, 2016 | 25 | 2016 |
Christopher A SchuhNorthwestern University在 northwestern.edu 的电子邮件经过验证
