Significant progress made in 808nm high-power semiconductor laser chips

The optical properties of afterglow luminescent particles in mechanical quenching and mechanical luminescence have aroused great interest in various technological applications. However, for specific photon applications, clearer explanations are needed for these unusual events.Recently, scientists from Pohang University of Science and Technology have designed an optical display technology with ALP ...

On December 11th local time, New York State announced a partnership with companies such as IBM, Micron, Applied Materials, and Tokyo Electronics to jointly invest $10 billion to expand the Albany NanoTech Complex in New York State, ultimately transforming it into a high numerical aperture extreme ultraviolet (NA EUV) lithography center to support the development of the world's most complex and pow...

As is well known, food and beverage product manufacturers have strict requirements in ensuring the hygiene and cleanliness of their equipment. Once these devices and components are designed or manufactured improperly, they are likely to cause pollution, ultimately leading to health hazards, brand reputation damage, and expensive recall actions. The shortage of labor and raw materials further exace...

In view of the reconstruction problem of stack imaging technology in noisy environment, Lin Nan's team from Shanghai Institute of Optics and Mechanics, Chinese Academy of Sciences, proposed an innovative method ProPtyNet based on unsupervised physical neural network, which is expected to be applied to chip CD measurement and defect detection. The article was published in Optics and lasers in engin...

Researchers at the Federal Institute of Technology in Lausanne have resolved the long-standing debate surrounding laser additive manufacturing processes through a groundbreaking defect detection method.The development of laser additive manufacturing is often hindered by unexpected defects. Traditional monitoring methods, such as thermal imaging and machine learning algorithms, have shown significa...