A multidisciplinary ORNL team used expertise in synthetic biology, AI-driven analysis, chemistry, neutrons and materials science to identify new members of a family of enzymes with a natural affinity for degrading synthetic nylon polymers.
A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
A numerical weather forecasting model (WRF) was used to simulate 120 storms over the Alabama-Coosa-Tallapoosa (ACT) river basin to explore the effect of climate change on probable maximum precipitation (PMP).
Researchers proposed a cryogenic memory cell design that has a potential to substantially outperform the existing memory cells, achieve much faster access times and lower access and dissipation energies, and reduce the size of the memory cell.
Inside Science has published a story about a recent experiment by ORNL researchers Brian Williams, Ron Sadlier, and Travis Humble.
Joseph M. Lukens, Nicholas A. Peters, and Raphael C.
ZAEL 1, Inc., a Miami, Florida startup, has entered into an exclusive research and development license with commercial option for an ORNL standoff spectroscopy detection system.
Raphael C. Pooser and Benjamin Lawrie have been recognized as authors of one of Optica’s top 15 most-cited papers for 2015 for "Ultrasensitive measurement of microcantilever displacement below the shot-noise limit," Optica 2, 393-399 (2015).
Efforts to bring ORNL’s wireless sensor platform to market are on target and proceeding as planned.