Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications
Publications
1492 results for Machine Learning
Machine-Learning Potentials for Molecular Dynamics Simulations of CO2 Chemisorption and Diffusion in Mg-MOF-74
- Binquan Luan
- Bowen Zheng
- et al.
- 2023
- MRS Spring Meeting 2023
Growing Strings in a Chemical Reaction Space for Searching Retrosynthesis Pathways
- 2023
- MRS Spring Meeting 2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
- Dimitrios Christofidellis
- Giorgio Giannone
- et al.
- 2023
- MRS Spring Meeting 2023
Quantum Chemical Data Generation as Fill-In for Reliability Enhancement of Machine-Learning Reaction and Retrosynthesis Planning
- Alessandra Toniato
- Jan Unsleber
- et al.
- 2023
- MRS Spring Meeting 2023
Cost-Sensitive Bayesian Active Molecular Design with Auxiliary Properties
- Elliot Nelson
- Dmitry Zubarev
- 2023
- MRS Spring Meeting 2023
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling
- Jannis Born
- Matteo Manica
- 2023
- Nature Machine Intelligence
Chemical representation learning for toxicity prediction
- Jannis Born
- Greta Markert
- et al.
- 2023
- Digital Discovery
Surrogate models for the synthesis of colloidal sol-gel materials
- Tim Erdmann
- Jason Chen
- et al.
- 2023
- ACS Spring 2023
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2023
- ICR 2023