对于新兴光伏技术的自动驱动的自主材料和设备加速平台 (AMADAP)
Jiyun Zhang1,2, Jens A Hauch1, Christoph J Brabec1,2
1Forschungszentrum Juelich GmbH, Helmholtz-Institute Erlangen-Nürnberg (HI ERN), Department of High Throughput Methods in Photovoltaics, Immerwahrstraße 2, 91058 Erlangen, Germany.
Accounts of chemical research
|April 23, 2024
概括
自动化实验室加速发现和优化新的太阳能材料,如矿和有机光伏. 这些平台使用人工智能和机器人来加快研究周期,提高能源基础设施的弹性.
科学领域:
- 材料科学 材料科学 材料科学
- 可再生能源技术可再生能源技术
- 太阳能光伏发电是如何实现的
背景情况:
- 越来越多的可再生能源需求需要开发超越的新型光伏技术.
- 新兴的光伏提供多样化,并提高太阳能行业的安全性和竞争力.
- 发现新的功能性太阳能材料涉及到在庞大的材料和参数空间中复杂的优化挑战.
研究的目的:
- 审查用于材料发现和设备优化自动化和自主化实验室的进展.
- 突出这些平台在新兴光伏领域的应用,特别是矿和有机太阳能电池.
- 引入内部开发的材料加速平台 (MAP) 和设备加速平台 (DAP).
主要方法:
- 机器人合成和表征的整合与人工智能驱动的数据分析和实验设计.
- 开发和利用两个MAP用于材料发现和两个DAP用于设备优化.
- 应用基于机器人的高吞吐量实验来优化复杂的材料和参数空间.
主要成果:
- 在加速有机接口材料,新半导体和薄膜复合材料的发现和优化方面取得了成功.
- 展示了像SPINBOT和AMANDA这样的平台在优化设备架构和自主操作方面的潜力.
- 成功解决了有机和矿光伏的多维组成和参数空间的优化挑战.
结论:
- 自动化和自主化实验室对于高效的材料发现和新兴光伏设备优化至关重要.
- MAP和DAP显著减少了实验周期,并提高了机器学习的数据质量.
- 为未来的太阳能材料开发提出了一个自动驾驶自主材料和设备加速平台 (AMADAP) 实验室的整体概念.
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