Data-Driven Organic Materials Lab
@ddomlab.org
📤 191
📥 35
📝 8
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
2 months ago
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reposted by
Data-Driven Organic Materials Lab
Martin Seifrid
3 months ago
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
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reposted by
Data-Driven Organic Materials Lab
Research Corporation for Science Advancement
6 months ago
@uw-cei.bsky.social
@imod-stc.bsky.social
@coschoolofmines.bsky.social
@utahchemistry.bsky.social
@whitmancollege.bsky.social
@ddomlab.org
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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
over 1 year ago
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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!
over 1 year ago
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reposted by
Data-Driven Organic Materials Lab
Martin Seifrid
over 1 year ago
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...
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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...
https://doi.org/10.1039/D4TA01942C
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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
almost 2 years ago
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