Overcoming Barriers in Polycarbonate Synthesis: A Streamlined Approach for the Synthesis of Cyclic Carbonate Monomers
- Nathaniel Park
- Pedro Arrechea
- et al.
- 2021
- ACS Fall 2021
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11 results for Pedro Arrechea
Using Domain Specific Languages to Enable Artificial Intelligence for Polymer and Catalyst Design
- 2024
- MRS Spring Meeting 2024
Synthesis Platforms for Generating High-Quality Polymer Datasets Utilizing Continuous and Discontinuous Reaction Setups
- Tim Erdmann
- Nathaniel Park
- et al.
- 2023
- ACS Fall 2023
Lab automation, data modeling, and AI agents for accelerated catalyst discovery
- 2023
- ACS Fall 2023
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
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