logo
ResearchBunny Logo
Generative learning facilitated discovery of high-entropy ceramic dielectrics for capacitive energy storage

Engineering and Technology

Generative learning facilitated discovery of high-entropy ceramic dielectrics for capacitive energy storage

W. Li, Z. Shen, et al.

Discover groundbreaking advancements in high-entropy dielectrics! A team of researchers, including Wei Li and Zhong-Hui Shen, achieved an impressive energy density of 156 J cm⁻³ at 5104 kV cm⁻¹, far surpassing previous benchmarks. This innovative approach not only accelerates material discovery but also paves the way for enhancing dielectric applications in electronics.

00:00
Playback language: English
Abstract
Dielectric capacitors are crucial for advanced electronics due to their high power densities, but their energy density needs improvement. High-entropy strategy is effective but discovering new systems within a high-dimensional composition space is challenging. This study uses a generative learning approach to accelerate the discovery of high-entropy dielectrics. By encoding-decoding latent space regularities, inverse design screens promising combinations. Five targeted experiments yielded a Bi(Mg<sub>0.5</sub>Ti<sub>0.5</sub>)O<sub>3</sub>-based high-entropy dielectric film with an energy density of 156 J cm⁻³ at 5104 kV cm⁻¹, surpassing the pristine film by over eightfold. This method drastically reduces experimental cycles and extends to other multicomponent material systems.
Publisher
Nature Communications
Published On
Jun 10, 2024
Authors
Wei Li, Zhong-Hui Shen, Run-Lin Liu, Xiao-Xiao Chen, Meng-Fan Guo, Jin-Ming Guo, Hua Hao, Yang Shen, Han-Xing Liu, Long-Qing Chen, Ce-Wen Nan
Tags
Dielectric capacitors
High-entropy dielectrics
Energy density
Generative learning
Material discovery
Inverse design
Experimental cycles

Related Publications

Explore these studies to deepen your understanding of the subject.

AI-assisted discovery of high-temperature dielectrics for energy storage
Engineering and Technology

AI-assisted discovery of high-temperature dielectrics for energy storage

R. Gurnani, S. Shukla, et al.

High-entropy superparaelectrics with locally diverse ferroic distortion for high-capacitive energy storage
Engineering and Technology

High-entropy superparaelectrics with locally diverse ferroic distortion for high-capacitive energy storage

J. Duan, K. Wei, et al.

Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
Engineering and Technology

Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection

T. Liu, Z. Chen, et al.

An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations
Chemistry

An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations

J. Noh, H. A. Doan, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny