Srikanth Patala

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Christopher A SchuhNorthwestern UniversityPatvirtintas el. paštas northwestern.edu
Arash Dehghan BanadakiSAS R&D / North Carolina State UniversityPatvirtintas el. paštas ncsu.edu
Jeremy MasonUniversity of California, DavisPatvirtintas el. paštas ucdavis.edu
Laurence D MarksNorthwestern UniversityPatvirtintas el. paštas northwestern.edu
Monica Olvera de la CruzLawyer Taylor Professor of Materials Science and Engineering, Northwestern UniversityPatvirtintas el. paštas northwestern.edu
Sourabh KadambiIdaho National LaboratoryPatvirtintas el. paštas inl.gov
Jason J MaldonisUniversity of Madison, WisconsinPatvirtintas el. paštas wisc.edu
Paul VoylesUniversity of Wisconsin, MadisonPatvirtintas el. paštas wisc.edu
Eric R HomerProfessor of Mechanical Engineering, Brigham Young UniversityPatvirtintas el. paštas byu.edu
Chris M. FancherMaterial Science and Technology Division, Oak Ridge National LabPatvirtintas el. paštas ornl.gov
Matthew J. Burch3MPatvirtintas el. paštas mmm.com
Elizabeth C. DickeyCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Fadi AbdeljawadLehigh UniversityPatvirtintas el. paštas lehigh.edu
Spencer L ThomasPostdoctoral Researcher, Stony Brook UniversityPatvirtintas el. paštas stonybrook.edu
Mark A TschoppSenior Research Scientist, Army Research LaboratoryPatvirtintas el. paštas mail.mil
Shawn P. ColemanComputational Materials Scientist, U.S. Army Research LaboratoryPatvirtintas el. paštas mail.mil
Matthew GuziewskiArmy Research LaboratoryPatvirtintas el. paštas army.mil
matteo seitaGranta Design Assistant Professor at the University of CambridgePatvirtintas el. paštas cam.ac.uk
Marco VolpiETH ZürichPatvirtintas el. paštas mat.ethz.ch
Ian McCueAssistant Professor, Northwestern UniversityPatvirtintas el. paštas northwestern.edu

Stebėti

Srikanth Patala

Senior Machine Learning Engineer

Patvirtintas el. paštas alum.mit.edu

Physical Sciences Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Grain boundary plane orientation fundamental zones and structure-property relationships ER Homer, S Patala, JL Priedeman Scientific reports 5 (1), 15476, 2015	122	2015
Improved representations of misorientation information for grain boundary science and engineering S Patala, JK Mason, CA Schuh Progress in Materials Science 57 (8), 1383-1425, 2012	117	2012
Elastic strain energy effects in faceted decahedral nanoparticles S Patala, LD Marks, M Olvera de la Cruz The Journal of Physical Chemistry C 117 (3), 1485-1494, 2013	69	2013
Symmetries in the representation of grain boundary-plane distributions S Patala, CA Schuh Philosophical Magazine 93 (5), 524-573, 2013	67	2013
Thermodynamic analysis of multiply twinned particles: surface stress effects S Patala, LD Marks, M Olvera de la Cruz The Journal of Physical Chemistry Letters 4 (18), 3089-3094, 2013	50	2013
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	49	2020
A simple faceting model for the interfacial and cleavage energies of Σ3 grain boundaries in the complete boundary plane orientation space AD Banadaki, S Patala Computational Materials Science 112, 147-160, 2016	45	2016
A three-dimensional polyhedral unit model for grain boundary structure in fcc metals AD Banadaki, S Patala npj Computational Materials 3 (1), 13, 2017	44	2017
Understanding grain boundaries–The role of crystallography, structural descriptors and machine learning S Patala Computational Materials Science 162, 281-294, 2019	39	2019
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	37	2018
A continuous and one-to-one coloring scheme for misorientations S Patala, CA Schuh Acta materialia 59 (2), 554-562, 2011	34	2011
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	32	2019
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	27	2020
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	26	2016
An efficient algorithm for computing the primitive bases of a general lattice plane AD Banadaki, S Patala Applied Crystallography 48 (2), 585-588, 2015	20	2015
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
Thermodynamic stabilization of precipitates through interface segregation: Chemical effects SB Kadambi, S Patala Physical Review Materials 1 (4), 043604, 2017	17	2017
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
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	10	2020
The topology of homophase misorientation spaces S Patala, CA Schuh Philosophical Magazine 91 (10), 1489-1508, 2011	10	2011

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