Martin Seifrid
Assistant Professor
- Email: m_seifrid@ncsu.edu
- Office: 3078 Engineering Building I
- Website: https://ddomlab.org/
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
- 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
- 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
- A Materials Acceleration Platform for Organic Laser Discovery
- , (2023). Advanced Materials. https://doi.org/10.1002/ADMA.202207070
- 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
- Opinion 35+1 challenges in materials science being tackled by PIs under 35(ish) in 2023
- Allen, M., Bediako, K., Bowman, W. J., Calabrese, M., Caretta, L., Cersonsky, R. K., … Cranford, S. (2023), MATTER, 6(8), 2480–2487. https://doi.org/10.1016/j.matt.2023.06.046
- A Materials Acceleration Platform for Organic Laser Discovery
- , (2022). ChemRxiv. https://doi.org/10.26434/CHEMRXIV-2022-9ZM65
- Augmenting Polymer Datasets by Iterative Rearrangement
- , (2022). ChemRxiv. https://doi.org/10.26434/CHEMRXIV-2022-HXVCC
