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Steven K. Kauwe
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Machine learning for materials scientists: an introductory guide toward best practices
AYT Wang, RJ Murdock, SK Kauwe, AO Oliynyk, A Gurlo, J Brgoch, ...
Chemistry of Materials 32 (12), 4954-4965, 2020
2912020
Machine learning and energy minimization approaches for crystal structure predictions: a review and new horizons
J Graser, SK Kauwe, TD Sparks
Chemistry of Materials 30 (11), 3601-3612, 2018
1662018
Compositionally restricted attention-based network for materials property predictions
AYT Wang, SK Kauwe, RJ Murdock, TD Sparks
Npj Computational Materials 7 (1), 77, 2021
1332021
Machine learning prediction of heat capacity for solid inorganics
SK Kauwe, J Graser, A Vazquez, TD Sparks
Integrating Materials and Manufacturing Innovation 7, 43-51, 2018
892018
Can machine learning find extraordinary materials?
SK Kauwe, J Graser, R Murdock, TD Sparks
Computational Materials Science 174, 109498, 2020
722020
Data-driven studies of li-ion-battery materials
SK Kauwe, TD Rhone, TD Sparks
Crystals 9 (1), 54, 2019
542019
Is domain knowledge necessary for machine learning materials properties?
RJ Murdock, SK Kauwe, AYT Wang, TD Sparks
Integrating Materials and Manufacturing Innovation 9, 221-227, 2020
512020
Machine learning for structural materials
TD Sparks, SK Kauwe, ME Parry, AM Tehrani, J Brgoch
Annual Review of Materials Research 50, 27-48, 2020
392020
Extracting knowledge from DFT: experimental band gap predictions through ensemble learning
SK Kauwe, T Welker, TD Sparks
Integrating materials and manufacturing innovation 9 (3), 213-220, 2020
312020
Atomic-scale design protocols toward energy, electronic, catalysis, and sensing applications
F Belviso, VEP Claerbout, A Comas-Vives, NS Dalal, FR Fan, A Filippetti, ...
Inorganic chemistry 58 (22), 14939-14980, 2019
252019
Benchmark AFLOW data sets for machine learning
CL Clement, SK Kauwe, TD Sparks
Integrating Materials and Manufacturing Innovation 9 (2), 153-156, 2020
242020
Not Just Par for the Course: 73 Quaternary Germanides RE4M2XGe4 (RE = La–Nd, Sm, Gd–Tm, Lu; M = Mn–Ni; X = Ag, Cd) and the Search for …
D Zhang, AO Oliynyk, GM Duarte, AK Iyer, L Ghadbeigi, SK Kauwe, ...
Inorganic chemistry 57 (22), 14249-14259, 2018
152018
Enhancing terahertz generation from a two-color plasma using optical parametric amplifier waste light
SA Sorenson, CD Moss, SK Kauwe, JD Bagley, JA Johnson
Applied Physics Letters 114 (1), 2019
142019
Benchmark datasets incorporating diverse tasks, sample sizes, material systems, and data heterogeneity for materials informatics
AN Henderson, SK Kauwe, TD Sparks
Data in Brief 37, 107262, 2021
112021
Optimizing fractional compositions to achieve extraordinary properties
AR Falkowski, SK Kauwe, TD Sparks
Integrating Materials and Manufacturing Innovation 10 (4), 689-695, 2021
82021
Materials Abundance, Price, and Availability Data from the Years 1998 to 2015
B Theler, SK Kauwe, TD Sparks
Integrating Materials and Manufacturing Innovation 9, 144-150, 2020
82020
Skin electrical resistance as a diagnostic and therapeutic biomarker of breast cancer measuring lymphatic regions
N Andreasen, H Crandall, O Brimhall, B Miller, J Perez-Tamayo, ...
IEEE Access 9, 152322-152332, 2021
62021
Sequential machine learning applications of particle packing with large size variations
JR Hall, SK Kauwe, TD Sparks
Integrating Materials and Manufacturing Innovation 10, 559-567, 2021
52021
Extracting knowledge from DFT: experimental band gap predictions through ensemble learning
T Sparks, S Kauwe, T Welker
52018
Visualization Tool for Atomic Models (VITAL): A Simple Visualization Tool for Materials Predictions
S Kauwe, Y Yang, T Sparks
22019
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