Ward, Logan

A general-purpose machine learning framework for predicting properties of inorganic materials

Ward, L., Agrawal, A., Choudhary, A., & Wolverton, C. (2016) · npj Computational Materials

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 1,831

14 examples of how LLMs can transform materials science and chemistry: A reflection on a large language model hackathon

Jablonka, K. M., Ai, Q., Al-Feghali, A., Badhwar, S., Bocarsly, J. D., Bran, A. M., Bringuier, S., Brinson, L. C., Choudhary, K., Circi, D., et al. (2023) · Digital Discovery

Machine Learning in Materials ScienceArtificial Intelligence Applications

Cited by 218

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2022) · The International Journal of High Performance Computing Applications

SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies

Cited by 120

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

Zvyagin, M., Brace, A., Hippe, K., Deng, Y., Zhang, B., Bohorquez, C. O., Clyde, A., Kale, B., Perez-Rivera, D., Ma, H., et al. (2023) · The International Journal of High Performance Computing Applications

SARS-CoV-2 and COVID-19 ResearchGenomics and Phylogenetic Studies

Cited by 120

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Liu, B., Li, X., Zhang, J., Wang, J., He, T., Hong, S., Liu, H., Zhang, S., Song, K., Zhu, K., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications

Cited by 16