Perovskite Thin Films
A Life-Cycle Perspective
Jing Patel
Corresponding
Massachusetts Institute of Technology
Amara Kim
Indian Institute of Technology Kharagpur
Abstract
The rapid expansion of food processing industries across South Asia has intensified the need to characterize perovskite thin films under realistic operating conditions. Measurements from food processing industries were pre-processed, filtered, and used to train the proposed model. A 11% gain in durability was recorded during accelerated ageing tests. The results support wider adoption of data-driven methods in routine engineering practice.
Keywords:
perovskite thin filmsparticle swarm optimizationbase isolationmachine learninggraph neural networks
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