Results 161 to 170 of about 43,973 (335)

A priori estimates and large population limits for some nonsymmetric Nash systems with semimonotonicity

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
Abstract We address the problem of regularity of solutions ui(t,x1,…,xN)$u^i(t, x^1, \ldots, x^N)$ to a family of semilinear parabolic systems of N$N$ equations, which describe closed‐loop equilibria of some N$N$‐player differential games with Lagrangian having quadratic behaviour in the velocity variable, running costs fi(x)$f^i(x)$ and final costs gi(
Marco Cirant, Davide Francesco Redaelli
wiley   +1 more source

Linear and Two‐Dimensional Infrared Spectroscopy of the Multifunctional Vibrational Probe, 3‐(4‐Azidophenyl) Propiolonitrile. Deperturbing a Fermi Triad by Isotopic Substitution

open access: yesChemPhysChem, Volume 26, Issue 6, March 15, 2025.
Linear infrared spectroscopy combined with isotope labeling and density functional theory unravels the origin of a Fermi triad in a multifunctional vibrational chromophore. Ultrafast 2DIR‐spectroscopy reports directly on the dynamics and the intramolecular vibrational energy flow pathways in the isotopically deperturbed system. Abstract Infrared probes
Claudia Gräve   +4 more
wiley   +1 more source

A Detailed Experimental and Theoretical Study of the Crystalline and Electronic Structure of BaHf(1−x)ZrxS3 Solid Solutions (0 ≤ x ≤ 1)

open access: yesChemPhysChem, EarlyView.
A detailed study of the structural and electronic properties of solid solutions of chalcogenide perovskites BaHf(1−x)ZrxS3 by means of experimental (powder X‐ray diffraction and UV‐vis spectroscopy) and theoretical calculations is presented. The study reveals that the cell parameters decrease with Hf content, while its effect on bandgap values becomes ...
Lorenza Romagnoli   +2 more
wiley   +1 more source

Machine Learning Approaches in Soft Matter Molecular Simulation and Materials Characterization: Challenges and Perspectives

open access: yesChemPlusChem, EarlyView.
Rigorous frameworks construction toward the development of science‐based machine learning (ML) schemes: invocation of statistical learning and data‐driven methods within the diverse materials science fields, from materials characterization to molecular modeling utilizing domain knowledge to facilitate fundamental understanding and scientific discovery.
Niki Vergadou, Vassilios Constantoudis
wiley   +1 more source

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