Quantum computing, machine learning, and contact lens polymers combined to dramatically reduce energy costs.
In order for Luo and Kim’s TRC design to work properly, incredibly thin layers of materials needed to be compiled in an exact way to ensure optimal heat reduction. In this case, machine learning and quantum computing teamed up to test models within fractions of a second, parsing through virtually ever possible mixture and material combination to find the best one.
The result is a 1.2 micron-thick layering of silica, alumina, and titanium oxide upon a glass base that is then coated with the same polymer used in contact lenses. The new combination subsequently outperformed ever other heat-reduction glass coating currently available. “I think the quantum computing strategy is as important as the material itself,” Luo saidfrom the University of Notre Dame yesterday.
As advancements progress, these kinds of transparent heat-reducing layers can be increasingly applied to windows and glass structures in order to help dramatically lower energy emissions as the world races to stave off climate change’s
France Dernières Nouvelles, France Actualités
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