A graph convolutional neural network (GCNN) was trained to accurately predict formation energy and mechanical properties of solid solution alloys crystallized in different lattice structures, thereby advancing the design of alloys for improving mechanic
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Efforts to bring ORNL’s 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
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.