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 …
based dielectric film capacitors with high energy storage capability have become particularly …
Polymer informatics: Current status and critical next steps
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 …
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
Synthetic polymers are versatile and widely used materials. Similar to small organic
molecules, a large chemical space of such materials is hypothetically accessible …
molecules, a large chemical space of such materials is hypothetically accessible …
Benchmarking machine learning models for polymer informatics: an example of glass transition temperature
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 …
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 …
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 …
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
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 …
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
This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …
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 …
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
Membrane-based organic solvent separations are rapidly emerging as a promising class of
technologies for enhancing the energy efficiency of existing separation and purification …
technologies for enhancing the energy efficiency of existing separation and purification …