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 …
Machine learning in materials informatics: recent applications and prospects
Propelled partly by the Materials Genome Initiative, and partly by the algorithmic
developments and the resounding successes of data-driven efforts in other domains …
developments and the resounding successes of data-driven efforts in other domains …
Designing tailored combinations of structural units in polymer dielectrics for high-temperature capacitive energy storage
R Wang, Y Zhu, J Fu, M Yang, Z Ran, J Li, M Li… - Nature …, 2023 - nature.com
Many mainstream dielectric energy storage technologies in the emergent applications, such
as renewable energy, electrified transportations and advanced propulsion systems, are …
as renewable energy, electrified transportations and advanced propulsion systems, are …
Applied machine learning as a driver for polymeric biomaterials design
Polymers are ubiquitous to almost every aspect of modern society and their use in medical
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
Design of functional and sustainable polymers assisted by artificial intelligence
Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …
materials design and development. Here, we review AI-enabled advances made in the …
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 …
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
The use of machine learning in computational molecular design has great potential to
accelerate the discovery of innovative materials. However, its practical benefits still remain …
accelerate the discovery of innovative materials. However, its practical benefits still remain …
Polymer genome: a data-powered polymer informatics platform for property predictions
The recent successes of the Materials Genome Initiative have opened up new opportunities
for data-centric informatics approaches in several subfields of materials research, including …
for data-centric informatics approaches in several subfields of materials research, including …
Machine-learning predictions of polymer properties with Polymer Genome
Polymer Genome is a web-based machine-learning capability to perform near-
instantaneous predictions of a variety of polymer properties. The prediction models are …
instantaneous predictions of a variety of polymer properties. The prediction models are …
Polymer design using genetic algorithm and machine learning
Data driven or machine learning (ML) based methods have been recently used in materials
science to provide quick material property predictions. Although powerful and robust, these …
science to provide quick material property predictions. Although powerful and robust, these …