Toward Self-Driven Autonomous Material and Device Acceleration Platforms (AMADAP) for Emerging Photovoltaics

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.

PubMed
Summary

Automated laboratories accelerate the discovery and optimization of new solar materials, like perovskites and organic photovoltaics. These platforms use artificial intelligence and robotics to speed up research cycles and enhance energy infrastructure resilience.

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