Taylor D. Sparks
University of Utah(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Computational Drug Discovery Methods, Advanced Thermoelectric Materials and Devices, Topological Materials and Phenomena
Most-Cited Works
- → Data-Driven Review of Thermoelectric Materials: Performance and Resource Considerations(2013)478 cited
- → Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices(2020)445 cited
- → High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds(2016)388 cited
- → Machine Learning Directed Search for Ultraincompressible, Superhard Materials(2018)340 cited
- → A practical field guide to thermoelectrics: Fundamentals, synthesis, and characterization(2018)308 cited
- → Compositionally restricted attention-based network for materials property predictions(2021)225 cited
- → Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties(2016)214 cited
- → Machine Learning and Energy Minimization Approaches for Crystal Structure Predictions: A Review and New Horizons(2018)204 cited
- → Stable, Heat-Conducting Phosphor Composites for High-Power Laser Lighting(2018)154 cited
- → Thermal conductivity of the gadolinium calcium silicate apatites: Effect of different point defect types(2011)131 cited