The rise of machine learning in polymer discovery
… that machine learning is absolutely better than human intelligence. In fact, machine learning
is … new insight on ML-assisted polymer discovery, including crosslinked polymer networks. …
is … new insight on ML-assisted polymer discovery, including crosslinked polymer networks. …
New opportunity: machine learning for polymer materials design and discovery
P Xu, H Chen, M Li, W Lu - Advanced Theory and Simulations, 2022 - Wiley Online Library
… important place in polymer materials design and discovery. In … of machine learning in the
design and discovery of polymer … papers about machine learning in polymer materials, the …
design and discovery of polymer … papers about machine learning in polymer materials, the …
Machine learning discovery of high-temperature polymers
… a machine learning (ML) model to establish the polymer's … real homopolymers from the
largest polymer database, PoLyInfo. … of chemical structures for these polymers. Interestingly, the …
largest polymer database, PoLyInfo. … of chemical structures for these polymers. Interestingly, the …
Machine learning for polymeric materials: an introduction
… hence properties of the final polymer. Additionally, researchers are … between a polymer and
its environment, polymer aging … design solutions to polymer innovation and discovery. Data-…
its environment, polymer aging … design solutions to polymer innovation and discovery. Data-…
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
… discovery of new polymers with high thermal conductivity, inspired by machine-learning-assisted
polymer … In this study, we demonstrate the successful discovery of new polymers with …
polymer … In this study, we demonstrate the successful discovery of new polymers with …
Polymer genome: a polymer informatics platform to accelerate polymer discovery
… polymer property prediction (and materials design) via surrogate machine learning models
… With this goal in mind, we have carefully accumulated a dataset of organic polymers whose …
… With this goal in mind, we have carefully accumulated a dataset of organic polymers whose …
Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
… Initially, discovery of polymers was mainly based on an empirical approach, ie, relying on
many trial-and-error experiments. Accumulation of experimental experiences has led to …
many trial-and-error experiments. Accumulation of experimental experiences has led to …
Machine-learning-driven discovery of polymers molecular structures with high thermal conductivity
MX Zhu, HG Song, QC Yu, JM Chen… - International Journal of …, 2020 - Elsevier
… structure of repeating units and TC was mainly investigated in this work, we explored TC
of single-chain polymers instead of precisely calculating the TC of polymers either in their …
of single-chain polymers instead of precisely calculating the TC of polymers either in their …
Machine-learning-assisted low dielectric constant polymer discovery
… polymer discovery through ML and an intelligent cloud lab to find new environmentally
friendly polymers … In the machine learning discovery, we use ML on SMILES from databases to …
friendly polymers … In the machine learning discovery, we use ML on SMILES from databases to …
Machine-learning predictions of polymer properties with Polymer Genome
… of Polymer Genome, including polymer data curation, representation, learning algorithms, …
to demonstrate how Polymer Genome can be used to predict dozens of polymer properties, …
to demonstrate how Polymer Genome can be used to predict dozens of polymer properties, …
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