Keith Nelson of MIT has won the 2017 Bomem-Michelson Award. Nelson was presented with the award on Tuesday, March 7, at Pittcon in Chicago, Illinois.
Keith Nelson of MIT has won the 2017 Bomem-Michelson Award. Nelson was presented with the award on Tuesday, March 7, at Pittcon in Chicago, Illinois.
Nelson received his PhD from Stanford University (Stanford, California). He joined the faculty at MIT following postdoctoral work at UCLA (Los Angeles, California). Among his achievements is the work he did on the discovery of new light–matter interactions and their exploitation for spectroscopy and control of coherent acoustic waves, lattice and molecular vibrations, excitons, spins, and their admixtures with light. Additionally, he has developed novel methods for study of solid-state chemical reactions, crystals near phase transitions, glass-forming liquids, electronic excited-state dynamics, thermal transport, and matter far from equilibrium. Nelson has also pioneered tabletop generation of strong terahertz-frequency fields and nonlinear terahertz spectroscopy.
Radar and Soil Spectroscopy Boost Soil Carbon Predictions in Brazil’s Semi-Arid Regions
July 7th 2025A new study published in Geoderma demonstrates that combining soil spectroscopy with radar-derived vegetation indices and environmental data significantly improves the accuracy of soil organic carbon predictions in Brazil’s semi-arid regions.
Deciphering Fossil Preservation in Brazil’s São Carlos Shale Using Analytical Spectroscopy
July 7th 2025A new study published in the Journal of South American Earth Sciences reveals how microbial activity, low pH conditions, and sediment chemistry in Brazil’s São Carlos Shale uniquely preserved diverse Upper Cretaceous fossils, offering fresh insights into the paleoenvironment of the Bauru Basin.
CRAIC Technologies Announces Launch of Maceral Identification Solution for Coal Analysis
July 3rd 2025In a press release, CRAIC Technologies announced the launch of its novel maceral identification solution that is designed to improve coal analysis. This new system contains high-speed imaging, servo-driven scanning, and intelligent software that work together to generate more accurate maceral analysis.
AI Boosts SERS for Next Generation Biomedical Breakthroughs
July 2nd 2025Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.