Publications

3553 results for Materials Discovery

Geospatial multi-model Carbon Sequestration and Green House Gas Emission framework
- - Ademir Ferreira Da Silva
  - Levente Klein
  - et al.
- 2022
- INFORMS 2022
Talk
Transfer Learning Enabled Deep Learning Model for the Prediction of Battery Performance from Electrolyte Formulations
- - Vidushi Sharma
  - Maxwell Giammona
  - et al.
- 2022
- ECS Meeting 2022
Talk
On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction
- - Jannis Born
  - Yoel Shoshan
  - et al.
- 2022
- J. Chem. Inf. Model.
Paper
Development of Ensemble Models for the Growth of Colloidal Spin-on-Glass Materials
- - Tim Erdmann
  - Sarath Swaminathan
  - et al.
- 2022
- ACS Fall 2022
Talk
A system for understanding molecular formula patterns for non-stoichiometric, variable inorganic compounds
- - Tom Griffin
  - Kristin Schmidt
- 2022
- ACS Fall 2022
Invited talk
Bridging the gap between rule-based expert systems and machine learning in computer-aided retrosynthetic design
- - Daniel Probst
  - Anastasia Sveshnikova
  - et al.
- 2022
- ACS Fall 2022
Conference paper
Augmented disconnection aware retrosynthesis to facilitate user interaction
- - Amol Thakkar
  - Andrea Antonia Byekwaso
  - et al.
- 2022
- ACS Fall 2022
Conference paper
Deep learning assisted Suzuki cross coupling catalyst design
- - Oliver Schilter
  - Federico Zipoli
  - et al.
- 2022
- ACS Fall 2022
Conference paper
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- - Matteo Manica
  - Joris Cadow
  - et al.
- 2022
- ACS Fall 2022
Conference paper
Continuous flow polymerization as a platform to accelerate materials discovery
- - Nathaniel Park
- 2022
- ACS Fall 2022
Conference paper