Results 61 to 70 of about 4,624,977 (307)
Saint Cloud Reporter [February 1970] [PDF]
Saint Cloud Reporter, February 1970https://repository.stcloudstate.edu/magazines/1123/thumbnail ...
St. Cloud State University
core
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Molecular hydrogen (H _2 ) formation and dissociation are key processes that drive the gas life cycle in galaxies. Using the SImulating the LifeCycle of Molecular Clouds zoom-in simulation suite, we explore the utility of future observations of H _2 ...
Blakesley Burkhart +13 more
doaj +1 more source
Saint Cloud Reporter [Winter 1969] [PDF]
Saint Cloud Reporter, Winter 1969https://repository.stcloudstate.edu/magazines/1122/thumbnail ...
St. Cloud State University
core
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
A study of X-ray point sources in Heiles Clouds 1 and 2
Star formation takes place in the coldest parts of molecular clouds, beginning in the densest, collapsing regions of filaments. As pre-main sequence stars are luminous X-ray emitters, X-ray point sources can serve as effective tracers of YSOs.
Nóra Varga +2 more
doaj +1 more source
Saint Cloud Reporter [May 1970] [PDF]
Saint Cloud Reporter, May 1970https://repository.stcloudstate.edu/magazines/1125/thumbnail ...
St. Cloud State University
core
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The Molecule Cloud - compact visualization of large collections of molecules
Background Analysis and visualization of large collections of molecules is one of the most frequent challenges cheminformatics experts in pharmaceutical industry are facing.
Ertl Peter, Rohde Bernhard
doaj +1 more source
RETHINKING A MYSTERIOUS MOLECULAR CLOUD [PDF]
Accepted for publication in ApJ. 16 pages, 13 figures.
openaire +2 more sources

