Results 21 to 30 of about 13,187,458 (266)
Self-Driving Laboratories for Chemistry and Materials Science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in ...
Gary Tom +15 more
semanticscholar +3 more sources
Chiral Triptycenes in Supramolecular and Materials Chemistry. [PDF]
Preda G, Nitti A, Pasini D.
europepmc +3 more sources
Editorial: Celebrating the work of Prof. C. N. R. Rao: from solid state to materials chemistry [PDF]
Cyril O. Ehi-Eromosele +1 more
doaj +2 more sources
Summary: Achieving highly active and stable oxygen reduction reaction performance at low platinum-group-metal loadings remains one of the grand challenges in the proton-exchange membrane fuel cells community.
Leonard Jean Moriau +12 more
doaj +1 more source
Summary: Advancements in energy storage technologies such as Li-based batteries depend on a deep understanding of the chemical and structural aspects of critical interfaces.
Elizabeth Zhang +5 more
doaj +1 more source
Ice-binding proteins and bioinspired synthetic mimics in non-physiological environments
Summary: Ice-binding proteins (IBPs) are produced by a variety of organisms to prevent internal damage caused by ice crystal growth. Synthetic analogs are being designed to mimic beneficial properties of IBPs while mitigating drawbacks related to the use
Elizabeth A. Delesky, Wil V. Srubar, III
doaj +1 more source
The development of carbon dots: From the perspective of materials chemistry
The advance of materials chemistry has influenced significantly the lifestyle of mankind. By virtue of their fascinating physicochemical nature – including ultrasmall size (
Shuo Li +8 more
semanticscholar +1 more source
Summary: The use of spectroscopy to characterize electrocatalytic processes is vital to the understanding and continuing the development of new catalysts for clean energy transformations.
Jeremy A. Bau +2 more
doaj +1 more source
Benchmarking graph neural networks for materials chemistry
Graph neural networks (GNNs) have received intense interest as a rapidly expanding class of machine learning models remarkably well-suited for materials applications.
Victor Fung +3 more
semanticscholar +1 more source

