Results 181 to 190 of about 1,137,364 (312)
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
High-order harmonic generation in an organic molecular crystal. [PDF]
Wiechmann FE +8 more
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Inharmonicity enhances brain signals of attentional capture and auditory stream segregation. [PDF]
Basiński K +3 more
europepmc +1 more source
Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung +7 more
wiley +1 more source
Broadband large-ellipticity harmonic generation with polar molecules
Meiyan Qin +4 more
openalex +1 more source
Harmonic Characterizations of Loaded Resonators for Waveguide Filters
King Yuk Chan +3 more
openalex +2 more sources
Enhanced plasmonic third-harmonic generation in graphene layers via Anderson localization induced by disordered gold gratings. [PDF]
Davoudi M, Sabaeian M, Zanbouri Z.
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Surface structure of water from soft X-ray second harmonic generation. [PDF]
Hoffman DJ +23 more
europepmc +1 more source

