Self-driving laboratory for accelerated discovery of thin-film materials
| Autor: | Raphaell Moreira, Henry Situ, Thomas D. Morrissey, Joseph R. Deeth, Veronica Lai, Michael S. Elliott, Alán Aspuru-Guzik, Ray H. Zhang, Loïc M. Roch, Jason E. Hein, Fraser G. L. Parlane, Gordon J. Ng, Curtis P. Berlinguette, Benjamin P. MacLeod, Florian Häse, Lars P. E. Yunker, Michael B. Rooney, Kevan E. Dettelbach, David J. Dvorak, Ted H. Haley |
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| Rok vydání: | 2020 |
| Předmět: |
Materials Science
FOS: Physical sciences Applied Physics (physics.app-ph) 02 engineering and technology 010402 general chemistry 01 natural sciences 7. Clean energy Condensed Matter::Materials Science Self driving Condensed Matter::Superconductivity Electronics Thin film Process engineering Research Articles Condensed Matter - Materials Science Multidisciplinary Optimization algorithm business.industry Materials Science (cond-mat.mtrl-sci) SciAdv r-articles Physics - Applied Physics Modular design Condensed Matter::Mesoscopic Systems and Quantum Hall Effect 021001 nanoscience & nanotechnology Research process 0104 chemical sciences Condensed Matter::Soft Condensed Matter Clean energy Condensed Matter::Strongly Correlated Electrons Inorganic materials 0210 nano-technology business Research Article |
| Zdroj: | Science Advances |
| ISSN: | 2375-2548 |
| Popis: | An autonomous laboratory for thin film discovery is used to optimize the doping and annealing of organic semiconductors. Discovering and optimizing commercially viable materials for clean energy applications typically takes more than a decade. Self-driving laboratories that iteratively design, execute, and learn from materials science experiments in a fully autonomous loop present an opportunity to accelerate this research process. We report here a modular robotic platform driven by a model-based optimization algorithm capable of autonomously optimizing the optical and electronic properties of thin-film materials by modifying the film composition and processing conditions. We demonstrate the power of this platform by using it to maximize the hole mobility of organic hole transport materials commonly used in perovskite solar cells and consumer electronics. This demonstration highlights the possibilities of using autonomous laboratories to discover organic and inorganic materials relevant to materials sciences and clean energy technologies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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