Reed, Evan J.

Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials

Sendek, A. D., Yang, Q., Cubuk, E. D., Duerloo, K.-A. N., Cui, Y., & Reed, E. J. (2017) · Energy & Environmental Science

Machine Learning in Materials ScienceAdvanced Battery Materials and Technologies

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Data Mining for New Two- and One-Dimensional Weakly Bonded Solids and Lattice-Commensurate Heterostructures

Cheon, G., Duerloo, K.-A. N., Sendek, A. D., Porter, C., Chen, Y., & Reed, E. J. (2017) · Nano Letters

Machine Learning in Materials Science2D Materials and Applications

Cited by 217

Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime

Sendek, A. D., Ransom, B., Cubuk, E. D., Pellouchoud, L. A., Nanda, J., & Reed, E. J. (2022) · Advanced Energy Materials

Machine Learning in Materials ScienceAdvancements in Battery Materials

Cited by 100