source：pcgamerAs the world battles through supply chain issues and geopolitical concerns disrupt the timely flow of materials, it’s becoming ever clearer that the supply of many rare earth metals and material is unsustainable. These materials are found in all kinds of products including those we dispose of everyday. E-waste is an excellent source of precious metals, and the recycling of e-waste needs to be dramatically ramped up.The Royal Society of Chemistry in the UK (via bbc.com) is running a campaign aimed at raising awareness around the unsustainability of mining the materials that make u...
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2022
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source：phys.orgOver three decades since the discovery of high-temperature superconductivity in ceramic cuprate materials, investigating the electronic states in cuprate materials to advance the understanding of the superconducting phase and related phenomena has developed incredible importance.In a new paper published in The European Physical Journal B, Ernesto Raposo from the Federal University of Pernambuco, Brazil, and his co-authors, look at one of the essential physical properties of cuprate superconducting compounds—the pseudogap—which describes a state where the Fermi surface of a mater...
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2022
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source：newswiseNewswise — Every day, researchers around the world develop new technologies to usher in a carbon-free energy future.A big part of that effort is developing new materials with advanced properties to make these technologies more flexible, efficient and reliable.Over the past decade, just as the invention of the silicon microchip revolutionized electronics, crystalline minerals called perovskites have helped researchers discover new, innovative electronics and energy technologies.Perovskites aren’t exactly new. Discovered in the 1800s, perovskites, which refers to a class of materi...
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2022
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source：natureAbstractIncreasing complexity of modern laser systems, mostly originated from the nonlinear dynamics of radiation, makes control of their operation more and more challenging, calling for development of new approaches in laser engineering. Machine learning methods, providing proven tools for identification, control, and data analytics of various complex systems, have been recently applied to mode-locked fiber lasers with the special focus on three key areas: self-starting, system optimization and characterization. However, the development of the machine learning algorithms for a pa...
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2022
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