Austin D. Sendek
Publications by Year
Research Areas
Advancements in Battery Materials, Machine Learning in Materials Science, Advanced Battery Materials and Technologies, Advanced Battery Technologies Research, Alzheimer's disease research and treatments
Most-Cited Works
- → Enhancing ionic conductivity in composite polymer electrolytes with well-aligned ceramic nanowires(2017)1,062 cited
- → Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials(2016)415 cited
- → Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling(2017)354 cited
- → High-Performance Lithium Metal Negative Electrode with a Soft and Flowable Polymer Coating(2016)323 cited
- → Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials(2018)317 cited
- → Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures(2017)213 cited
- → Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data(2019)136 cited
- → Density functional theory calculations for evaluation of phosphorene as a potential anode material for magnesium batteries(2018)107 cited
- → Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime(2022)96 cited
- Quantifying the search for solid Li-ion electrolyte materials by anion: A data-driven perspective(2020)