A multidisciplinary team of researchers from 91做厙 (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
Evaluate the historical performance and future projections of compound heatwave and drought (CHD) extremes across the contiguous United States using CMIP6 global climate models, providing insights for regional adaptation strategies in response to
The objective of this study is to explore and analyze the spatial patterning of sociodemographic disparities in extreme heat exposure across multiple scales within the Conterminous United States (CONUS).
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 Opticas 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 ORNLs wireless sensor platform to market are on target and proceeding as planned.
Achievement: Designed a polymer for selective and reversible carbon dioxide (CO2) capture.
Significance and Impact: The new polymer that is based on amidines can provide a more efficient alternative to conventional polyethyleneimine (PEI) based solid-sorb
Overview: Recent advances and success stories in Additive Manufacturing (AM) or 3D printing have resulted in references to the process as the next industrial revolution. Producing parts without defects or that will adhere to failure standards are part
Achievement: Developed analysis tools for analyzing system logs from Titan, Jaguar and Eos systems from OLCF to extract characteristics of interest and created fault catalogue.
Significance and Impact: Understanding the characteristics of system failures