Jul 12, 2019 · We perform inverse design via particle-swarm optimization, predicting and synthesizing 17 polymers with constrained design at 4 target cloud ...
Nov 21, 2018 · Abstract:Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when ...
Here we demonstrate high-accuracy tuning of poly(2-oxazoline) cloud point via machine learning. With a design space of four repeating units and a range of ...
Dec 28, 2018 · Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing ...
Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing polymers with ...
Jan 13, 2024 · Here we demonstrate high-accuracy tuning of poly(2-oxazoline) cloud point via machine learning. With a design space of four repeating units and ...
Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing polymers with desired ...
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This work demonstrates high-accuracy tuning of poly(2-oxazoline) cloud point via machine learning, and challenges the status quo in polymer design with a ...
The model was able to generalize well with both well-defined historic datasets as well as newly synthesized polymers of unsymmetrical MWDs. Third, inverse ...
Feb 28, 2022 · Study framework of polymer cloud-point engineering via machine learning inverse design, Reprinted with the permission from [55]. Polymer ...