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 ...
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 ...
People also ask
What is the cloud point of polymer solution?
The cloud-point temperature (CTP) is the temperature at which phase separation starts. At this temperature the solution becomes turbid/cloudy due to the formation of polymer-rich emulsion droplets.
How to determine the cloud point of a solution?
An array of optical detectors continuously monitor the sample for the first appearance of a cloud of wax crystals. The temperature at which the first appearance of wax crystals is detected in the sample is determined to be the cloud point.
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 ...
High-accuracy cloud point engineering via machine-learning informed tuning of poly(oxazoline) composition ... Poly(oxazoline) cloud point prediction and inverse ...
Jul 18, 2019 · Machine learning enables polymer cloud-point engineering via inverse design. Polymer inverse design using machine learning. Report this ...
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