通过机器学习设计的BCZT-SBT异面接口解锁了耐疲劳的能量储存
Zixiong Sun1,2, Tiancheng Luo1, Pan Gao1
1School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an, 710021, China.
机器学习指导了新型无介电电容器的开发. 这种新型材料在经过数十亿次循环后,证明了其特殊的储能能力和无疲劳的性能.
科学领域:
- 材料科学 材料科学 材料科学
- 储能 储能 储能 储能 储能 储能
- 介电材料 介电材料
背景情况:
- 介电电容器提供快速储能,但在高电场下遭受疲劳.
- 开发无疲劳介电材料对于先进的储能应用至关重要.
研究的目的:
- 设计和合成一种无疲劳,无介电材料,用于增强能量存储.
- 在新型介电组合中研究疲劳阻力背后的原子尺度机制.
主要方法:
- 使用机器学习 (ML) 来指导 (1-x) Ba0.85Ca0.15Zr0.1Ti0.9O3-(x) SrBi2Ta2O9固体溶液的组成.
- 合成了材料并进行了原子规模的分析,以了解接口特性和相位共存.
- 标志性储能性能,包括能量密度,效率和充放电周期稳定性.
主要成果:
- 一个 (1-x) BCZT-xSBT 固体溶液,x = 0.10,由于相位共存 (矿和青铜),呈现出独特的表轴界面层.
- 这种异质屏障有效地抑制了载体迁移,并促进了极化同质化,提高了电压耐用性.
- 实现了9.94 J cm-3的可回收能量密度,效率为92.1%,并且在109个周期内表现稳定,没有降解.
结论:
- 开发的无介电器表现出了显著的疲劳耐力,这归因于高高的肖特基屏障和界面工程.
- 本文介绍了一种基于机器学习的策略,用于设计高性能,无疲劳的介电电容器,以可靠地储存能量.
更多相关视频
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
11:06A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
Published on: April 12, 2016
相关概念视频
Batteries and Fuel Cells
Energy Stored in Capacitors
By integrating the equation that relates voltage and current in a capacitor, one can derive an equation for the voltage across the capacitor at any given time. This equation is crucial in understanding and predicting the behavior of capacitors in...
ATP Energy Storage and Release
One example of energy coupling using ATP involves a...
Energy Stored in a Capacitor: Problem Solving
Capacitor-discharge ignition is a type of ignition system commonly found in small engines where the energy released from a capacitor ignites an induction coil that, in turn, fires the spark plug.
To calculate the energy stored in a capacitor of...
Energy Stored in a Capacitor
Energy Supply for Muscle Contraction
