Results 201 to 210 of about 15,459,849 (275)
Experimental realization of the topologically nontrivial phase in monolayer Si<sub>2</sub>Te<sub>2</sub>. [PDF]
Huang X +6 more
europepmc +1 more source
The determination of spin‐states by methods like Hirshfeld atom refinement is a promising development in the field of quantum crystallography. To this end, we present x‐ray wavefunction refinement as a next step in this process, identifying the spin and translating it into a physical wavefunction.
Johannes Bartusel +3 more
wiley +1 more source
More Converged, Less Accurate? Reassessing Standard Choices for Ab Initio Water Using Machine Learning Potentials. [PDF]
Beck H, Marsalek O.
europepmc +1 more source
The energy level diagrams for the ν(C═O) and the δ(N─H) vibrations, resulting of combining in‐phase and out‐of‐phase modes on the basis of their local symmetries, was built by applying the exciton coupling theory to a new class of chiral macrocycles, based on the 2,5‐diaminoterephthalate scaffold.
Samara Medina +4 more
wiley +1 more source
Mechanistic Insights Into Luminol Chemiexcitation: The Role of the Amide Carbonyls
By means of quantum‐chemical calculations, we demonstrate that the 1,2‐dioxin ring forms following nitrogen release from parent luminol. We also identify alkoxide groups derived from the amide carbonyls of luminol as key enhancers of the chemiexcitation yield.
Juliana Cuéllar‐Zuquin +3 more
wiley +1 more source
Isomer-specific excitation of formic acid in collisions with helium atoms.
Sogomonyan K +3 more
europepmc +1 more source
Hidden in Plain Sight: Aromaticity of Hexagonal Boron Nitride
How apt is the nickname “white graphene” for hexagonal boron nitride (hBN)? Although graphene's aromaticity is well established, it is not known if hBN is aromatic. In this work, hBN's aromaticity is probed using magnetic and energetic criteria. Group‐theoretic considerations and magnetically induced current density maps are used to further reveal the ...
Suryakanti Debata +2 more
wiley +1 more source
Bottom-up synthesis of molecular nanodiamond from nanographene. [PDF]
Liang J +29 more
europepmc +1 more source
Accelerating SCF Convergence Through Equivariant Density‐Matrix Learning and Analytic Refinement
Machine learning predicts physically consistent one‐electron reduced density matrices that provide efficient initial guesses for self‐consistent field calculations. Across diverse molecular systems, this warm‐start strategy reduces the required self‐consistent‐field (SCF) iterations by up to 80% while preserving converged energies and atomic forces ...
Zuriel Y. Yescas‐Ramos +2 more
wiley +1 more source
Multiconfigurational nature of the chemical bond in beryllium molecule. [PDF]
Sütay B.
europepmc +1 more source

