- Sem Dados
Português
- English
- 简体中文
- 繁体中文
- Français
- Русский
- Italiano
- 日本語
- 한국어
- Português
- Deutsch
- Español
- Türkçe
- Ελληνικά
- Nederlands
- Tiếng Việt
- Polski
Infrared imaging and sensing technology can be used in various fields, from astronomy to chemistry. For example, when infrared light passes through a gas, sensing changes in light can help scientists identify specific properties of the gas. The use of visible light may not always achieve this sensing.However, existing infrared sensors are bulky and inefficient. In addition, due to the use of infra...
In recent years, linearly polarized organic light-emitting diodes have greatly enriched the application scenarios of polarization optics and optoelectronics industries. The low-cost and large-area preparation of linearly polarized organic light-emitting diodes with high polarization, strong directional emission, narrow bandwidth, and multi-color adjustability is an important challenge in the curre...
On August 8, local time, Jalisco, Mexico welcomed the grand opening of Yangtze Optics Mexico Cable S.A. de C.V., marking the eighth overseas production base of Yangtze Optical Fiber & Cable Co. ("Yangtze Fiber Optics") has successfully set up its eighth overseas production base in its 36-year development history, further advancing its internationalization strategy blueprint. Today, we are pr...
At present, the navigation system has become an important equipment on ships, aircraft, missiles, automobiles and other navigational vehicles. Laser Doppler radar has become an important development direction in the field of velocity measurement technology because of its high accuracy, good spatial resolution and fast dynamic response. The application of the three-beam Doppler Lidar in the...
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...