- Veri Yok
Türkçe
- 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
Beijing, April 1st (Reporter Liu Xia) - The world's most powerful laser has been activated recently. On March 31st, the Physicist Organization Network reported that the system can enable laser pulses to reach a peak of 10 terawatts (1 terawatt=100 terawatts=1015 watts) within 1 femtosecond (1000 trillions of a second), which is expected to promote revolutionary progress in multiple fi...
The laser driven particle accelerator on silicon chips was created by two independent research groups. With further improvements, this dielectric laser accelerator can be used in medicine and industry, and even in high-energy particle physics experiments.Accelerating electrons to high energy is usually accomplished over long distances in large and expensive facilities. For example, the electron ac...
In order to successfully 3D print metal parts to meet the strict specifications required by many industries, it is necessary to optimize process parameters, including printing speed, laser power, and layer thickness of deposited materials.However, in order to develop additive manufacturing process diagrams that ensure these optimal results, researchers have to rely on traditional methods, such as ...
A new European research project is exploring whether the same fibre-optic cables that carry our internet could also serve as real-time sensors for hidden damage in infrastructure, including bridges, railways, tunnels and energy pipelines. The €5.1 million ECSTATIC project, coordinated by Aston University in the UK, is trialling this breakthrough approach in a major UK city, using a heavily-used...
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...