Lab automation, data modeling, and AI agents for accelerated catalyst discovery
- 2023
- ACS Fall 2023
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33 results for Tim Erdmann
Ensemble Models for the Growth of Colloidal Sol-Gel Materials
- Tim Erdmann
- Jason Chen
- et al.
- 2023
- MRS Spring Meeting 2023
Surrogate models for the synthesis of colloidal sol-gel materials
- Tim Erdmann
- Jason Chen
- et al.
- 2023
- ACS Spring 2023
AI as a peer: Polymer discovery with neuro-symbolic intelligent agents
- Sarathkrishna Swaminathan
- Dmitry Zubarev
- et al.
- 2023
- ACS Spring 2023
Development of Ensemble Models for the Growth of Colloidal Spin-on-Glass Materials
- Tim Erdmann
- 2023
- APS March Meeting 2023
Development of Ensemble Models for the Growth of Colloidal Spin-on-Glass Materials
- Tim Erdmann
- Sarath Swaminathan
- et al.
- 2022
- ACS Fall 2022
Neuro-Symbolic Reinforcement Learning for Polymer Discovery
- Sarath Swaminathan
- Dmitry Zubarev
- et al.
- 2022
- MRS Spring Meeting 2022
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