Recent progress and future prospects on all-organic polymer dielectrics for energy storage capacitors

QK Feng, SL Zhong, JY Pei, Y Zhao, DL Zhang… - Chemical …, 2021 - ACS Publications
With the development of advanced electronic devices and electric power systems, polymer-
based dielectric film capacitors with high energy storage capability have become particularly …

Polymer informatics: Current status and critical next steps

L Chen, G Pilania, R Batra, TD Huan, C Kim… - Materials Science and …, 2021 - Elsevier
Artificial intelligence (AI) based approaches are beginning to impact several domains of
human life, science and technology. Polymer informatics is one such domain where AI and …

[HTML][HTML] A graph representation of molecular ensembles for polymer property prediction

M Aldeghi, CW Coley - Chemical Science, 2022 - pubs.rsc.org
Synthetic polymers are versatile and widely used materials. Similar to small organic
molecules, a large chemical space of such materials is hypothetically accessible …

Benchmarking machine learning models for polymer informatics: an example of glass transition temperature

L Tao, V Varshney, Y Li - Journal of Chemical Information and …, 2021 - ACS Publications
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

[HTML][HTML] polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics

C Kuenneth, R Ramprasad - Nature Communications, 2023 - nature.com
Polymers are a vital part of everyday life. Their chemical universe is so large that it presents
unprecedented opportunities as well as significant challenges to identify suitable application …

Machine-Learning-Guided Discovery of 19F MRI Agents Enabled by Automated Copolymer Synthesis

M Reis, F Gusev, NG Taylor, SH Chung… - Journal of the …, 2021 - ACS Publications
Modern polymer science suffers from the curse of multidimensionality. The large chemical
space imposed by including combinations of monomers into a statistical copolymer …

High‐throughput experimentation and computational freeway lanes for accelerated battery electrolyte and interface development research

A Benayad, D Diddens, A Heuer… - Advanced Energy …, 2022 - Wiley Online Library
The timely arrival of novel materials plays a key role in bringing advances to society, as the
pace at which major technological breakthroughs take place is usually dictated by the …

[HTML][HTML] Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites

V Dananjaya, S Marimuthu, R Yang, AN Grace… - Progress in Materials …, 2024 - Elsevier
This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …

[HTML][HTML] Enhancing property prediction and process optimization in building materials through machine learning: A review

K Stergiou, C Ntakolia, P Varytis, E Koumoulos… - Computational Materials …, 2023 - Elsevier
Abstract Analysis and design, as the most critical components in material science, require a
highly rigorous approach to assure long-term success. Due to a recent increase in the …

[HTML][HTML] Data-driven predictions of complex organic mixture permeation in polymer membranes

YJ Lee, L Chen, J Nistane, HY Jang, DJ Weber… - Nature …, 2023 - nature.com
Membrane-based organic solvent separations are rapidly emerging as a promising class of
technologies for enhancing the energy efficiency of existing separation and purification …