Results 121 to 130 of about 386,546 (279)
Phenomenological modelling of eclipsing system light curves
The observed light curves of most eclipsing binaries and stars with transiting planets can be well described and interpreted by current advanced physical models which also allow for the determination of many physical parameters of eclipsing systems ...
Mikulášek, Zdeněk
core +1 more source
Five COFs are synthesized through a multicomponent reaction, preserving a similar backbone while introducing varying pore functionalities. All COFs demonstrate excellent chemical stability and sustained H2 production under sunlight for 7‐15 days. The imidazole‐functionalized COF exhibits the highest H2 production, which can be attributed to its high ...
Prasenjit Das +18 more
wiley +1 more source
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source
On the phenomenology of sphaleron-induced processes at the LHC and beyond
We investigate the phenomenological aspects of non-perturbative baryon- and lepton-number-violating processes at hadron colliders. Such processes, induced by instan- ton/sphaleron configurations of the electroweak gauge fields, are believed to play a ...
Andreas Papaefstathiou +2 more
doaj +1 more source
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Crystal Structures and Intermolecular Interactions in α$\alpha$‐ and β$\beta$‐phosgene
Despite its notorious reputation as a war gas, phosgene (COCl2${\rm COCl}_2$) is one of the most important intermediate chemicals in industry. In this study, we present the crystal structures of two phosgene polymorphs as deduced from powder neutron diffraction and show which intermolecular interactions stabilise the different modifications.
Sven Ringelband +6 more
wiley +2 more sources
Phenomenological model for long-wavelength optical modes in transition metal dichalcogenide monolayer [PDF]
C. Trallero‐Giner +4 more
openalex +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
For ether cleavage on Si(001), steric hindrance by the side chains was shown to determine the reactivity on the surface. In contrast to a simple expectation, the stronger steric hindrance of the butyl group in butyl methyl ether leads to a lower activation energy for ether cleavage on Si(001) when compared to diethyl ether.
Timo Glaser +7 more
wiley +2 more sources

