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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 · We demonstrate high-accuracy tuning of poly(2-oxazoline) cloud point via machine learning. With a design space of four repeating units and a ...
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 ...
Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing polymers with ...
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Dec 28, 2018 · Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing ...
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 ...
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 ...
Our approach challenges the status quo in polymer design with a machine learning algorithm, that is capable of fast and systematic discovery of new polymers.
Bibliographic details on Machine learning enables polymer cloud-point engineering via inverse design.