Chemical Robotics Enabled Exploration of Stability in Multicomponent Lead Halide Perovskites via Machine Learning

Metal halide perovskites have attracted immense interest as a promising material for a variety of optoelectronic and sensing applications. However, issues regarding long-term stability have emerged as the key bottleneck for commercialization. Here, we develop an automated experimental workflow based...

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Veröffentlicht in:	ACS energy letters 2020-11, Vol.5 (11), p.3426-3436
Hauptverfasser:	Higgins, Kate, Valleti, Sai Mani, Ziatdinov, Maxim, Kalinin, Sergei V, Ahmadi, Mahshid
Format:	Artikel
Sprache:	eng
Schlagworte:	Materials MATERIALS SCIENCE Phase diagrams Quantum mechanics Solutions Stability
Online-Zugang:	Volltext
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