Persson, Kristin A.

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Jain, A., Ong, S. P., Hautier, G., Chen, W., Richards, W. D., Dacek, S., Cholia, S., Gunter, D., Skinner, D., Ceder, G., et al. (2013) · APL Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis

Ong, S. P., Richards, W. D., Jain, A., Hautier, G., Kocher, M., Cholia, S., Gunter, D., Chevrier, V. L., Persson, K. A., & Ceder, G. (2013) · Computational Materials Science

Machine Learning in Materials ScienceAdvancements in Battery Materials

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Unsupervised word embeddings capture latent knowledge from materials science literature

Tshitoyan, V., Dagdelen, J., Weston, L., Dunn, A., Rong, Z., Kononova, O., Persson, K. A., Ceder, G., & Jain, A. (2019) · Nature

Machine Learning in Materials ScienceTopic Modeling

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An autonomous laboratory for the accelerated synthesis of inorganic materials

Szymanski, N. J., Rendy, B., Fei, Y., Kumar, R. E., He, T., Milsted, D., McDermott, M. J., Gallant, M., Cubuk, E. D., Merchant, A., et al. (2023) · Nature

Machine Learning in Materials ScienceInorganic Chemistry and Materials

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Structured information extraction from scientific text with large language models

Dagdelen, J., Dunn, A., Lee, S., Walker, N., Rosen, A. S., Ceder, G., Persson, K. A., & Jain, A. (2024) · Nature Communications

Topic ModelingMachine Learning in Materials Science

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A foundation model for atomistic materials chemistry

Batatia, I., Benner, P., Chiang, Y., Elena, A. M., Kovács, D. P., Riebesell, J., Advincula, X. R., Asta, M., Avaylon, M., Baldwin, W. J., et al. (2024) · arXiv

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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Nucleation of metastable aragonite CaCO 3 in seawater

Sun, W., Jayaraman, S., Chen, W., Persson, K. A., & Ceder, G. (2015) · Proceedings of the National Academy of Sciences

Calcium Carbonate Crystallization and InhibitionCrystallization and Solubility Studies

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New opportunities for materials informatics: Resources and data mining techniques for uncovering hidden relationships

Jain, A., Hautier, G., Ong, S. P., & Persson, K. (2016) · Journal of Materials Research

Machine Learning in Materials ScienceComputational Drug Discovery Methods

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A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds

de Jong, M., Chen, W., Notestine, R., Persson, K., Ceder, G., Jain, A., Asta, M., & Gamst, A. (2016) · Scientific Reports

Machine Learning in Materials ScienceComputational Drug Discovery Methods

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Ion Transport and the True Transference Number in Nonaqueous Polyelectrolyte Solutions for Lithium Ion Batteries

Fong, K. D., Self, J., Diederichsen, K. M., Wood, B. M., McCloskey, B. D., & Persson, K. A. (2019) · ACS Central Science

Advanced Battery Materials and TechnologiesAdvancements in Battery Materials

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Exploring the Pb1−xSrxHfO3 System and Potential for High Capacitive Energy Storage Density and Efficiency

Acharya, M., Banyas, E., Ramesh, M., Jiang, Y., Fernandez, A., Dasgupta, A., Ling, H., Hanrahan, B., Persson, K., Neaton, J. B., et al. (2022) · Advanced Materials

Ferroelectric and Piezoelectric MaterialsFerroelectric and Negative Capacitance Devices

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Structured information extraction from complex scientific text with fine-tuned large language models

Dunn, A., Dagdelen, J., Walker, N., Lee, S., Rosen, A. S., Ceder, G., Persson, K., & Jain, A. (2022) · arXiv

Topic ModelingMachine Learning in Materials Science

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