Data-Driven Organic Materials LabFeb 27
Officially official! The group's first-ever publication is online 🥳 #ChemSky #MatSky doi.org/10.1063/5.03...

Robust learning from literatur...
Data-Driven Organic Materials LabOct 1
🚨🚨 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
Martin SeifridSep 18, 2025
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
Evan Spotte-Smith (they/them)Jul 5, 2025
The Materials Project is one of the most important databases in materials science. Now, 12 years after the original publication, we have a new manuscript describing the history and current state of MP, the MP software ecosystem, and the MP community. #CompChem #MatSky #MaterialsProject ⚗️ 🧪 (1/2)

Accelerated data-driven materi...
Accelerated data-driven materials science with the Materials Project - Nature Materials

Materials design and informatics have become increasingly prominent over the past several decades. Using the Materials Project as an example, this Perspective discusses how properties are calculated and curated, how this knowledge can be used for materials discovery, and the challenges in modelling complex material systems or managing software architecture.

Nature