At the 2023 Gulf Coast Conference, Spectroscopy spoke with Kevin Schug of the University of Texas at Arlington, about predicting gas phase vacuum ultraviolet spectra using machine learning. This interview was one of four conducted live at GCC 2023.
Schug spoke during the 2023 Gulf Coast Conference (GCC) in Galveston, Texas, with one of his lectures being titled, "Prediction of Gas Phase Vacuum Ultraviolet Spectra using Machine Learning."
Kevin A. Schug is a Professor and Shimadzu Distinguished Professor of Analytical Chemistry at the University of Texas at Arlington. He received his Ph.D. from Virginia Tech working with the late Professor Harold McNair. He earned a B.S. Chemistry from the College of William and Mary. He has been at the University of Texas at Arlington since 2005.
Spectroscopy sat down with Hagemann to discuss the following questions:
Our interview with Schug was one of four conducted live at GCC 2023. For the other published GCC interviews, click on the links below:
Gulf Coast Conference: Elena Hagemann Discusses Using Raman and NIR to Analyze Petrochemicals
Gulf Coast Conference: John Wasson Discusses Data Retrieval From Chemical Processing Plant Streams
Gulf Coast Conference: Jean-Francois Borny Discusses Evolutions in PFAS Analysis
New Study Reveals Insights into Phenol’s Behavior in Ice
April 16th 2025A new study published in Spectrochimica Acta Part A by Dominik Heger and colleagues at Masaryk University reveals that phenol's photophysical properties change significantly when frozen, potentially enabling its breakdown by sunlight in icy environments.
Real-Time Battery Health Tracking Using Fiber-Optic Sensors
April 9th 2025A new study by researchers from Palo Alto Research Center (PARC, a Xerox Company) and LG Chem Power presents a novel method for real-time battery monitoring using embedded fiber-optic sensors. This approach enhances state-of-charge (SOC) and state-of-health (SOH) estimations, potentially improving the efficiency and lifespan of lithium-ion batteries in electric vehicles (xEVs).
Smart Optical Sensors for Thermal Management in Electric Vehicles
April 8th 2025A recent review in Energies explores the latest advancements in sensor applications for electric vehicle (EV) thermal management systems. The study, authored by Anyu Cheng, Yi Xin, Hang Wu, Lixin Yang, and Banghuai Deng from Chongqing University of Posts and Telecommunications, along with industry partners, examines how advanced optical sensors improve the efficiency, safety, and longevity of EVs.
Fiber Optics and Neural Networks Transform Vehicle Sensing and Road Safety
April 7th 2025A cutting-edge fiber optic sensing system, developed by researchers at Tongji University, leverages neural networks to classify vehicles with unprecedented accuracy. The system’s innovative design uses spectroscopic and optical sensor technologies to provide critical data for road maintenance and traffic management.