Automated Artificial-intelligence Inverse Design of Polymer Membranes for CO2 Capture and Separation
- Ronaldo Giro
- Hsianghan Hsu
- et al.
- 2022
- MRS Fall Meeting 2022
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Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
- Matteo Manica
- Joris Cadow
- et al.
- 2022
- MRS Fall Meeting 2022
Attempting Activity Modulation by Graph-based Small-Molecule Generative Modeling: Analysis on Training and Seed Bias and Implication of AI-driven Drug Discovery
- Seung Gu Kang
- 2022
- ACS Fall 2022
Computational and experimental design of solvents for CO2 capture
- Flaviu Cipcigan
- James McDonagh
- et al.
- 2021
- ACS Fall 2021
Accelerating the development of new polymeric materials: The convergance of automated experimentation, cloud computing, and predictive modeling
- Nathaniel Park
- Pedro Arrechea
- et al.
- 2021
- ACS Fall 2021
Large datasets for machine learning and reactor response curves for the ring opening polymerization of lactide
- Pedro Arrechea
- Nathaniel Park
- et al.
- 2021
- ACS Fall 2021
Automated in silico screening of nanoporous materials for enhanced CO2 capture
- 2021
- MRS Spring Meeting 2021
Simulating fluid flow with carbon dioxide in digital rock
- Mathias Steiner
- Rodrigo Ferreira
- et al.
- 2021
- APS March Meeting 2021
Small Data Enabled Prediction and Verification of Potential Polymer Membranes for CO2 Separation
- Hsianghan Hsu
- Ronaldo Giro
- et al.
- 2021
- APS March Meeting 2021
Automated in silico optimisation of nanoporous material morphology for enhanced carbon dioxide adsorption
- Rodrigo Ferreira
- Fausto Martelli
- et al.
- 2021
- APS March Meeting 2021