基于SnSe的热电系统中的数据驱动增强
Yea-Lee Lee1, Hyungseok Lee2,3, Taeshik Kim2,3
1Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea.
以数据为导向的方法确定了化 (SnSe) 的最佳补充剂,以提高热电性能. 这一策略成功地发现了作为一种新的高性能兴奋剂,获得了超过2.0的优点 (ZT).
科学领域:
- 材料科学
- 固态物理
- 计算化学
背景情况:
- 和合金对于提高热电材料性能至关重要.
- 发现高性能热电材料的有效剂和成分仍然是一个重大挑战.
研究的目的:
- 开发一种以数据为导向的方法,通过剂提高化 (SnSe) 的热电性能.
- 建立精确的预测模型用于化SnSe化合物的热电性质.
主要方法:
- 产生了对化SnSe的综合实验和计算数据集.
- 使用原子性质和电子结构的特征向量开发机器学习模型.
- 使用预测模型和可溶性极限图来选高维物质空间.
主要成果:
- 确定了五种候选剂 (Ge,Pb,Y,Cd,As),其热电性值 (ZT) 超过2.0.
- 建立了一个设计原则,通过锡空缺优化ZT,依赖于剂元素.
- 实验证实是SnSe的新型高ZT剂.
结论:
- 这种数据驱动的方法有效地优化了化SnSe的热电特性.
- 这种方法加速了新型高ZT热电材料的发现.
- 通过数据驱动的研究提供材料设计和原理提取的框架.
更多相关视频
04:09Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
Published on: August 30, 2024
04:22Author Spotlight: Advancements in High-Performance Thermoelectric Thin Films Through Radio Frequency Magnetron Sputtering
Published on: May 17, 2024
相关概念视频
Thermodynamic Systems
Consider an example of tea boiling in a kettle. The...
Thermal Sigmatropic Reactions: Overview
Sigmatropic shifts are classified based on an order term [i, j ], where i and j indicate the number of atoms across which each end of the σ bond migrates. Below are examples of a [3,3] sigmatropic shift in...
Mechanisms of Heat Transfer II
Thermal expansion and Thermal stress: Problem Solving
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in...
Thermodynamic Potentials
Mechanisms of Heat Transfer
Conduction, accounting for approximately 3% of body heat loss at rest, is the process of exchanging heat between molecules of two materials in direct contact. This can result in both heat loss and gain. For instance, when the body is submerged in water, which conducts heat 20 times more effectively than air, it can either lose or gain significant...
