Martin Seifrid

Assistant Professor

Our group designs organic materials with precisely controlled structures and functions through synthesis and processing. To accelerate materials design, we develop self-driving labs – automated experiments guided by machine learning.

We are a multidisciplinary group whose expertise spans materials informatics, machine learning, automation, synthesis, and characterization.

Our current focus is a new class of materials with applications in sensing, energy storage, healthcare, and neuromorphic computing: organic mixed ionic-electronic conductors.

Publications

Beyond Molecular Structure: Critically Assessing Machine Learning for Designing Organic Photovoltaic Materials and Devices
Seifrid, M., Lo, S., Choi, D., Tom, G., Le, M. L., Li, K., … Aspuru-Guzik, A. (2024, March 25). , . https://doi.org/10.26434/chemrxiv-2024-d20px
Beyond Molecular Structure: Critically Assessing Machine Learning for Designing Organic Photovoltaic Materials and Devices
Seifrid, M., Lo, S., Choi, D. G., Tom, G., Le, M. L., Li, K., … Aspuru-Guzik, A. (2024, April 1). , . https://doi.org/10.26434/chemrxiv-2024-d20px-v2
Beyond molecular structure: critically assessing machine learning for designing organic photovoltaic materials and devices
Seifrid, M., Lo, S., Choi, D. G., Tom, G., Le, M. L., Li, K., … Aspuru-Guzik, A. (2024, May 20), JOURNAL OF MATERIALS CHEMISTRY A, Vol. 5. https://doi.org/10.1039/D4TA01942C
Chemspyd: An Open-Source Python Interface for Chemspeed Robotic Chemistry and Materials Platforms
Seifrid, M., Strieth-Kalthoff, F., Haddadnia, M., Wu, T., Alca, E., Bodo, L., … Aspuru-Guzik, A. (2024, February 13). , . https://doi.org/10.26434/chemrxiv-2024-33sfl
Chemspyd: An Open-Source Python Interface for Chemspeed Robotic Chemistry and Materials Platforms
Seifrid, M., Strieth-Kalthoff, F., Haddadnia, M., Wu, T., Alca, E., Bodo, L., … Aspuru-Guzik, A. (2024, February 20). , . https://doi.org/10.26434/chemrxiv-2024-33sfl-v2
Chemspyd: an open-source python interface for Chemspeed robotic chemistry and materials platforms
Seifrid, M., Strieth-Kalthoff, F., Haddadnia, M., Wu, T. C., Alca, E., Bodo, L., … Aspuru-Guzik, A. (2024), Digital Discovery. https://doi.org/10.1039/D4DD00046C
Delocalized, asynchronous, closed-loop discovery of organic laser emitters
Strieth-Kalthoff, F., Hao, H., Rathore, V., Derasp, J., Gaudin, T., Angello, N. H., … Aspuru-Guzik, A. (2024), SCIENCE, 384(6697). https://doi.org/10.1126/science.adk9227
Importance of Short-Range Order in Governing Thin Film Morphology and Electronic Properties of Polymeric Organic Semiconductors
Seifrid, M., Karki, A., Wakidi, H., Vezin, H., Welton, C., Bazan, G. C., … Reddy, G. N. M. (2024, January 23), CHEMISTRY OF MATERIALS, Vol. 1. https://doi.org/10.1021/acs.chemmater.3c01931
Self-Driving Laboratories for Chemistry and Materials Science
Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., … Aspuru-Guzik, A. (2024, August 13), CHEMICAL REVIEWS, Vol. 8. https://doi.org/10.1021/acs.chemrev.4c00055
Augmenting Polymer Datasets by Iterative Rearrangement
Lo, S., Seifrid, M., Gaudin, T., & Aspuru-Guzik, A. (2023), Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.3c00144

View all publications via NC State Libraries

Martin Seifrid