Recent advances and applications of machine learning in solid-state materials science
One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …
is machine learning. This collection of statistical methods has already proved to be capable …
High-performance lead-free bulk ceramics for electrical energy storage applications: design strategies and challenges
Compared with fuel cells and electrochemical capacitors, dielectric capacitors are regarded
as promising devices to store electrical energy for pulsed power systems due to their fast …
as promising devices to store electrical energy for pulsed power systems due to their fast …
Engineering relaxors by entropy for high energy storage performance
Relaxor ferroelectrics are the primary candidates for high-performance energy storage
dielectric capacitors. A common approach to tuning the relaxor properties is to regulate the …
dielectric capacitors. A common approach to tuning the relaxor properties is to regulate the …
Perovskite lead-free dielectrics for energy storage applications
The projected increase in world energy consumption within the next 50 years, coupled with
low emission requirements, has inspired an enormous effort towards the development of …
low emission requirements, has inspired an enormous effort towards the development of …
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 …
Constructing phase boundary in AgNbO3 antiferroelectrics: pathway simultaneously achieving high energy density and efficiency
Dielectric capacitors with high energy storage density (W rec) and efficiency (η) are in great
demand for high/pulsed power electronic systems, but the state-of-the-art lead-free dielectric …
demand for high/pulsed power electronic systems, but the state-of-the-art lead-free dielectric …
Machine learning for perovskite materials design and discovery
Q Tao, P Xu, M Li, W Lu - Npj computational materials, 2021 - nature.com
The development of materials is one of the driving forces to accelerate modern scientific
progress and technological innovation. Machine learning (ML) technology is rapidly …
progress and technological innovation. Machine learning (ML) technology is rapidly …
Superior Energy‐Storage Capacitors with Simultaneously Giant Energy Density and Efficiency Using Nanodomain Engineered BiFeO3‐BaTiO3‐NaNbO3 Lead …
H Qi, A **e, A Tian, R Zuo - Advanced Energy Materials, 2020 - Wiley Online Library
Dielectric capacitors are receiving a great deal of attention for advanced pulsed power
owing to their high power density and quick charge/discharge rate. However, the energy …
owing to their high power density and quick charge/discharge rate. However, the energy …
Ultrahigh Energy‐Storage Density in NaNbO3‐Based Lead‐Free Relaxor Antiferroelectric Ceramics with Nanoscale Domains
H Qi, R Zuo, A **e, A Tian, J Fu… - Advanced Functional …, 2019 - Wiley Online Library
Dielectric energy‐storage capacitors have received increasing attention in recent years due
to the advantages of high voltage, high power density, and fast charge/discharge rates …
to the advantages of high voltage, high power density, and fast charge/discharge rates …
Outstanding Energy Storage Performance in High‐Hardness (Bi0.5K0.5)TiO3‐Based Lead‐Free Relaxors via Multi‐Scale Synergistic Design
Lead‐free dielectric ceramics with ultrahigh energy storage performance are the best
potential stocks used in next‐generation advanced pulse power capacitors. Here, an …
potential stocks used in next‐generation advanced pulse power capacitors. Here, an …