Taylor D. Sparks
Taylor D. Sparks
Associate Professor of Materials Science and Engineering University of Utah, Salt Lake City, UT
Verified email at - Homepage
Cited by
Cited by
Data-driven review of thermoelectric materials: Performance and resource considerations
MW Gaultois, TD Sparks, CKH Borg, R Seshadri, WD Bonificio, DR Clarke
Chemistry of Materials 25 (15), 2911-2920, 2013
High-throughput machine-learning-driven synthesis of full-Heusler compounds
AO Oliynyk, E Antono, TD Sparks, L Ghadbeigi, MW Gaultois, B Meredig, ...
Chemistry of Materials 28 (20), 7324-7331, 2016
A practical field guide to thermoelectrics: Fundamentals, synthesis, and characterization
A Zevalkink, DM Smiadak, JL Blackburn, AJ Ferguson, ML Chabinyc, ...
Applied Physics Reviews 5 (2), 021303, 2018
Machine learning directed search for ultraincompressible, superhard materials
A Mansouri Tehrani, AO Oliynyk, M Parry, Z Rizvi, S Couper, F Lin, ...
Journal of the American Chemical Society 140 (31), 9844-9853, 2018
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
Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties
MW Gaultois, AO Oliynyk, A Mar, TD Sparks, GJ Mulholland, B Meredig
Apl Materials 4 (5), 053213, 2016
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
Data mining our way to the next generation of thermoelectrics
TD Sparks, MW Gaultois, A Oliynyk, J Brgoch, B Meredig
Scripta Materialia 111, 10-15, 2016
Stable, heat-conducting phosphor composites for high-power laser lighting
C Cozzan, G Lheureux, N O’Dea, EE Levin, J Graser, TD Sparks, ...
ACS applied materials & interfaces 10 (6), 5673-5681, 2018
Performance and resource considerations of Li-ion battery electrode materials
L Ghadbeigi, JK Harada, BR Lettiere, TD Sparks
Energy & Environmental Science 8 (6), 1640-1650, 2015
Thermal conductivity of the gadolinium calcium silicate apatites: Effect of different point defect types
Z Qu, TD Sparks, W Pan, DR Clarke
Acta Materialia 59 (10), 3841-3850, 2011
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
Ceria (Sm3+, Nd3+)/carbonates composite electrolytes with high electrical conductivity at low temperature
W Liu, Y Liu, B Li, TD Sparks, X Wei, W Pan
Composites Science and Technology 70 (1), 181-185, 2010
Magnetocapacitance as a sensitive probe of magnetostructural changes in NiCr 2 O 4
TD Sparks, MC Kemei, PT Barton, R Seshadri, ED Mun, VS Zapf
Physical Review B 89 (2), 024405, 2014
Can machine learning find extraordinary materials?
SK Kauwe, J Graser, R Murdock, TD Sparks
Computational Materials Science 174, 109498, 2020
Anisotropic Thermal Diffusivity and Conductivity of La‐Doped Strontium Niobate Sr2Nb2O7
TD Sparks, PA Fuierer, DR Clarke
Journal of the American Ceramic Society 93 (4), 1136-1141, 2010
Compositionally restricted attention-based network for materials property predictions
AYT Wang, SK Kauwe, RJ Murdock, TD Sparks
Npj Computational Materials 7 (1), 77, 2021
Cold temperature performance of phase change material based battery thermal management systems
L Ghadbeigi, B Day, K Lundgren, TD Sparks
Energy Reports 4, 303-307, 2018
Perspective: interactive material property databases through aggregation of literature data
R Seshadri, TD Sparks
APL Materials 4 (5), 053206, 2016
Data-driven studies of li-ion-battery materials
SK Kauwe, TD Rhone, TD Sparks
Crystals 9 (1), 54, 2019
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