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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source:natureAbstractWith growing environmental awareness and considerable research investment in energy saving, the concept of energy harvesting has become a central topic in the field of materials science. The thermoelectric energy conversion, which is a classic physical phenomenon, has emerged as an indispensable thermal management technology. In addition to conventional experimental investigations of thermoelectric materials, seeking promising materials or structures using computer-based approaches such as machine learning has been considered to accelerate research in recent years. However...
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2022
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source: News medicalGlioma is an intracranial malignant tumor that still poses a major clinical challenge due to its highly invasive nature, low cure rate, and high mortality rate. Although advanced molecular imaging techniques, such as magnetic resonance imaging (MRI) and computed tomography (CT) can be used for glioma diagnosis, their low spatial resolution, harmful ionization, and complicated workflow limit their application in real-time intraoperative imaging.In a new paper published in Light Science & Application, a team of scientists, led by Professor Hongjie Zhang and Professor Ying...
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2022
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