Data-Driven Organic Materials Lab
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ddomlab.org
Data-Driven Organic Materials Lab
@ddomlab.org
Seifrid research group in MSE at NC State

ddomlab.org
🚨🚨 The group's first preprint is up on @chemrxiv.org! 🥳🥳

Robust Learning from Literature Data: Model Generalizability and Uncertainty for Predicting Conjugated Polymer Solution Conformation

📝 doi.org/10.26434/chemrxiv-2025-mdtsm

#chemsky #matsky
October 1, 2025 at 6:09 PM
Reposted by Data-Driven Organic Materials Lab
Do you know of any papers that have datasets of organic materials (polymers, molecules) with experimental parameters–not material properties, but stuff like concentration, temperature, whatever?

#chemsky #matsky
September 18, 2025 at 7:12 PM
Another instrument is up and running! We set up our
Gyros PurePep Chorus last Friday. Keep an eye out for exciting developments on this front 👀

#chemsky #matsky
June 21, 2024 at 3:06 PM
We just completed the installation of Big Purchase #1 ™️: a quadruple (!) detector SEC from Tosoh. This bad boy has RI, UV, MALS, & viscometry 💪 We're really excited to start getting some absolute molecular weights!
June 6, 2024 at 3:51 PM
Reposted by Data-Driven Organic Materials Lab
Our exploration of #ML to predict #OPV device performance from molecular structure of the materials *and* processing data is now officially published in J Mater Chem A as part of their 2024 Emerging Investigators series!

doi.org/10.1039/D4TA...
Beyond molecular structure: critically assessing machine learning for designing organic photovoltaic materials and devices
Our study explores the current state of machine learning (ML) as applied to predicting and designing organic photovoltaic (OPV) devices. We outline key considerations for selecting the method of encod...
doi.org
May 28, 2024 at 7:55 PM
First semester at NC State MSE is in the books! Not only is NC State Engineering building the future of #SelfDrivingLabs, but there's an awesome self-driving library

#MatSky #Chemsky
December 18, 2023 at 8:18 PM