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.
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
Achievement: Developed an end-to-end data transfer framework, named LADS, for bulk data transfer for terabit networks that is optimized for parallel file systems on both the source and sink.
As rising performance demands confront plateauing resource budgets, approximate computing (AC) has become not merely attractive, but imperative.
A molecule, called a nucleoside analog and which is composed of an Adenine moeity and glycol group, was deposited on top of the Au(111) surface and studied with scanning tunneling microscopy and density functional theory calculations.
In this work unique twisted bilayers of MoSe2 with periodic multiple stacking configurations and interlayer couplings were discovered in the narrow range of twist angles, 60± 3°, using ulra-low frequency Raman spectroscopy and first-principle theory.