Organic semiconductors represent a transformative technology that bridges traditional electronics with the versatility of organic materials. They make flexible, wearable devices and next-generation ...
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Saaya Sekine, and Dr. Tomooki Hosaka from Tokyo University of Science (TUS), in collaboration with Chalmers University of Technology and Professor Masanobu Nakayama from Nagoya Institute of Technology ...
Our machine learning models, trained on diverse input parameters ... we provide deep insights into the factors governing fuel cell performance, ultimately paving the way for the design of scalable and ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...