Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications
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456 results for Accelerated Discovery
Accelerating network layouts using graph neural networks
- Csaba Both
- Nima Dehmamy
- et al.
- 2023
- Nature Communications
A multi-fidelity machine learning approach to high throughput materials screening
- Clyde Fare
- Peter Fenner
- et al.
- 2022
- npj Computational Materials
Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning
- Kyle Daniels
- Shangying Wang
- et al.
- 2022
- Science
Inferring experimental procedures from text-based representations of chemical reactions
- Alain C. Vaucher
- Philippe Schwaller
- et al.
- 2021
- Nature Communications
Unassisted noise reduction of chemical reaction datasets
- Alessandra Toniato
- Philippe Schwaller
- et al.
- 2021
- Nature Machine Intelligence
Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates
- Giorgio Pesciullesi
- Philippe Schwaller
- et al.
- 2020
- Nature Communications
Automated extraction of chemical synthesis actions from experimental procedures
- Alain C. Vaucher
- Federico Zipoli
- et al.
- 2020
- Nature Communications
Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction Prediction
- Philippe Schwaller
- Teodoro Laino
- et al.
- 2019
- ACS Central Science
Accelerated Discovery for a Sustainable Semiconductor Industry
- 2025
- SPIE Advanced Lithography + Patterning 2025