A research group from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences recently developed a neural network-based absorbance recovery method to improve the accuracy ...

Raman spectroscopy equipment is the most powerful tool for researching carbon materials like graphene and carbon nanotubes, ...

Deep inside a diamond, a misplaced atom or an empty spot in the crystal ...

A parallel heterodyne light-induced thermoelastic spectroscopy (PH-LITES) sensor is proposed for high-speed and high-sensitivity multi-gas detection for the first time. Within the collaborative signal ...

Announcing a new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.260015 .Dual-comb spectroscopy combines the precision of optical ...

Tighter environmental regulation of methane, CO₂ and industrial emissions is increasing demand for continuous gas analysers ...

When we think about a diamond, we often think about a material whose value comes from its perfection. In my research, however ...

Many fascinating phases in quantum materials emerge when electrons, atoms and other microscopic components begin to act ...

A project at China's Zhejiang Normal University (ZJNU) has applied laser spectroscopy to bomb-peak dating, potentially assisting a number of carbon-dating and forensic applications. Bomb-peak dating ...

Absorption spectroscopy limited only by quantum noise has been demonstrated over a broad frequency range using laser frequency combs. Absorption spectra have been widely used for decades to study the ...

According to a study published in FUEL recently, a neural network-based absorbance recovery method was developed by a research group led by Prof. GAO Xiaoming and Prof. LIU Kun from the Hefei ...