We are excited to share our latest publication in Talanta, titled “Label-Free Surface-Enhanced Raman Spectroscopy and Machine Learning for Rapid Classification and Quantification of Bovine Respiratory Disease Complex Viruses.” Bovine respiratory disease complex, or BRDC, is one of the most important infectious disease challenges in cattle health. It is a multifactorial disease involving environmental stress, host immune response, viral infection, and secondary bacterial infection. Rapid and...

We are pleased to announce the upcoming workshop “Spectroscopy Data and AI: Toward Integrated Research Infrastructure,” to be held on August 21, 2026, at the University of Georgia. This workshop will bring together researchers from universities and national laboratories, to discuss how spectroscopy, artificial intelligence, machine learning, data standards, and research cyberinfrastructure can be integrated to accelerate scientific discovery. The event will focus on the growing need for...

We are excited to share our latest publication in ACS Nano, titled “Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.” This work was completed through an international collaboration between the University of Georgia and several leading research groups in China, including collaborators from Chongqing University, Zhejiang University, and the Eastern Institute of Technology, Ningbo. This collaboration brought together expertise in nanofabrication,...