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 …
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 …
[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Emerging materials intelligence ecosystems propelled by machine learning
The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …
successes and promises, several AI ecosystems are blossoming, many of them within the …
Matminer: An open source toolkit for materials data mining
As materials data sets grow in size and scope, the role of data mining and statistical learning
methods to analyze these materials data sets and build predictive models is becoming more …
methods to analyze these materials data sets and build predictive models is becoming more …
Predicting materials properties with little data using shotgun transfer learning
There is a growing demand for the use of machine learning (ML) to derive fast-to-evaluate
surrogate models of materials properties. In recent years, a broad array of materials property …
surrogate models of materials properties. In recent years, a broad array of materials property …
Review of polymer‐based nanodielectric exploration and film scale‐up for advanced capacitors
DQ Tan - Advanced Functional Materials, 2020 - Wiley Online Library
The uprising demands for electrical power and electrification requires advanced dielectric
functionalities including high capacitance density, high energy density, high current …
functionalities including high capacitance density, high energy density, high current …
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 …