Neuro-Symbolic Reinforcement Learning for Polymer Discovery
- Sarath Swaminathan
- Dmitry Zubarev
- et al.
- 2022
- MRS Spring Meeting 2022
Publications
This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Year
21 results for Tim Erdmann
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
Overcoming barriers in polycarbonate development: a streamlined approach to cyclic carbonate synthesis and their use in automated synthetic platforms
- Nathaniel Park
- Pedro Arrechea
- et al.
- 2021
- ACS Fall 2021
Controlled ring opening polymerizations in milliseconds by using sterically hindered strong bases
- Binhong Lin
- Caleb Jadrich
- et al.
- 2021
- ACS Fall 2021
Synthesis of tailored segmented polyurethanes utilizing continuous flow reactors and real time process monitoring
- Xabier Lopez de Pariza
- Tim Erdmann
- et al.
- 2021
- ACS Fall 2021
Accelerated Electrolyte Discovery using Data Driven Approach
- Vidushi Sharma
- Maxwell Giammona
- et al.
- 2023
- ACS Fall 2023
Development and use of a software platform applied towards the automated synthesis of carbonate monomers and machine learning applications
- Pedro Arrechea
- James Hedrick
- et al.
- 2022
- ACS Spring 2022
Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
- 2023
- Nature Communications
Automating and Accelerating Scientific Discovery – Continuous and Discontinuous Experimentation Setups for Polymer Research and High-Quality Dataset Generation
- Tim Erdmann
- Nathaniel Park
- et al.
- 2023
- MaRDA 2023