通过计算方法加速发现化矿矿材料:一篇评论
Ming Sheng1, Hui Zhu1, Suqin Wang1
1College of Engineering, Shandong Xiehe University, Jinan 250109, China.
Nanomaterials (Basel, Switzerland)
|July 13, 2024
概括
计算方法加速了用于光电子设备的高性能化物矿的发现. 本次审查强调了它们在克服未来应用的稳定性和毒性等挑战中的作用.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 固态物理 固态物理
背景情况:
- 化烯石具有显著的光电子特性,引发了人们对光伏和LED的兴趣.
- 包括长期稳定性和毒性在内的挑战阻碍了化 Perovskite 的商业化.
- 计算方法对于理解材料属性和加速发现至关重要.
研究的目的:
- 审查计算工具对加快发现高性能化物矿材料的影响.
- 讨论特定的化矿矿结构 (例如,双重,零维,新型ABX6) 和它们的计算探索.
- 确定化矿的计算设计中的挑战和未来研究方向.
主要方法:
- 高通量选的高通量选
- 机器学习技术 机器学习技术
- 第一个原则计算计算.
- 材料属性预测 材料属性预测
主要成果:
- 计算方法使得大量的化学空间能够有效地选新型化矿.
- 通过模拟来获得对结构-属性关系的洞察.
- 加快识别光电子应用的有前途的候选人.
结论:
- 计算方法对于推进化矿的研发是不可或缺的.
- 克服稳定性和毒性问题是商业可行性的关键.
- 持续整合计算工具将推动化 PeroVskite 材料的创新.
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