Engineering and TechnologyNature Communications
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.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Engineering and Technology
AI-assisted discovery of high-temperature dielectrics for energy storage
R. Gurnani, S. Shukla, et al.
Engineering and Technology
High-entropy superparaelectrics with locally diverse ferroic distortion for high-capacitive energy storage
J. Duan, K. Wei, et al.
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.
Engineering and Technology
Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
T. Liu, Z. Chen, et al.

