Olivetti, Elsa A.

Lithium-ion battery supply chain considerations: analysis of potential bottlenecks in critical metals

Olivetti, E. A., Ceder, G., Gaustad, G. G., & Fu, X. (2017) · Joule

Extraction and Separation ProcessesAdvancements in Battery Materials

Cited by 1,572

Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review

Hertwich, E. G., Ali, S., Ciacci, L., Fishman, T., Heeren, N., Masanet, E., Asghari, F. N., Olivetti, E., Pauliuk, S., Tu, Q., et al. (2019) · Environmental Research Letters

Environmental Impact and SustainabilitySustainability and Ecological Systems Analysis

Cited by 477

Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

Kim, E., Huang, K., Saunders, A., McCallum, A., Ceder, G., & Olivetti, E. (2017) · Chemistry of Materials

Machine Learning in Materials ScienceComputational and Text Analysis Methods

Cited by 473

Data-driven materials research enabled by natural language processing and information extraction

Olivetti, E. A., Cole, J. M., Kim, E., Kononova, O., Ceder, G., Han, T. Y.-J., & Hiszpanski, A. M. (2020) · Applied Physics Reviews

Machine Learning in Materials ScienceComputational and Text Analysis Methods

Cited by 302

Charging sustainable batteries

Bauer, C., Burkhardt, S., Dasgupta, N. P., Ellingsen, L. A.-W., Gaines, L. L., Hao, H., Hischier, R., Hu, L., Huang, Y., Janek, J., et al. (2022) · Nature Sustainability

Battery Modeling and ManagementExtraction and Separation Processes

Cited by 216

Sustainability through alloy design: Challenges and opportunities

Cann, J. L., De Luca, A., Dunand, D. C., Dye, D., Miracle, D. B., Oh, H. S., Olivetti, E. A., Pollock, T. M., Poole, W. J., Yang, R., et al. (2021) · Progress in Materials Science

Material Selection and PropertiesHigh Entropy Alloys Studies

Cited by 191

Virtual screening of inorganic materials synthesis parameters with deep learning

Kim, E., Huang, K., Jegelka, S., & Olivetti, E. (2017) · npj Computational Materials

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 190

Opportunities and challenges of text mining in materials research

Kononova, O., He, T., Huo, H., Trewartha, A., Olivetti, E. A., & Ceder, G. (2021) · iScience

Machine Learning in Materials ScienceBiomedical Text Mining and Ontologies

Cited by 182

A priori control of zeolite phase competition and intergrowth with high-throughput simulations

Schwalbe-Koda, D., Kwon, S., Paris, C., Bello-Jurado, E., Jensen, Z., Olivetti, E., Willhammar, T., Corma, A., Román-Leshkov, Y., Moliner, M., et al. (2021) · Science

Zeolite Catalysis and SynthesisMachine Learning in Materials Science

Cited by 175