Results 71 to 80 of about 52,570 (259)
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim +13 more
wiley +1 more source
Cluster temperatures and non-extensive thermo-statistics
We propose a novel component to the understanding of the temperature structure of galaxy clusters which does not rely on any heating or cooling mechanism.
Hansen, Steen H.
core +2 more sources
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Optimizing photosynthetic light-harvesting under stars: Generalized thermodynamic models
Abstract Since the law of physics and chemistry are universal, we must be able to use them to determine the feasibility and potential characteristics of photosynthetic life on exoplanets. Photosynthesis is the cornerstone of Earth’s complex biosphere and creates bio-signatures pivotal in the search for life beyond Earth. However, stars of lower
Samir Chitnavis +6 more
openaire +1 more source
This work provides a novel interpretation of the nitrate reduction mechanism on iron oxides (FeOx) by employing constant‐potential density functional calculations and reports the design and synthesis of a robust and high‐performance Fe3O4/Fe‐N4‐C catalyst with remarkable Faradaic efficiency, current density, and stability under practical reaction ...
Qiang Zhou +8 more
wiley +1 more source
Simultaneous description of bulk and interfacial properties of fluids by the Mie potential
The vapor-liquid equilibrium (VLE) of the Mie potential, where the dispersive exponent is constant (m = 6) while the repulsive exponent n is varied between 9 and 48, is systematically investigated by molecular simulation.
Hasse, Hans +3 more
core +2 more sources
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Restricted Boltzmann machines (RBMs) constitute one of the main models for machine statistical inference and they are widely employed in Artificial Intelligence as powerful tools for (deep) learning.
Agliari, Elena +2 more
core +1 more source
Dual‐Ligand Metal‐Organic Frameworks via In Situ Amidoxime Engineering for Selective Ion Separation
Inspired by microbial ion‐trapping mechanisms, a mild and universal strategy is developed to construct highly porous amidoxime‐functionalized MOFs. DFT calculations and molecular force measurements reveal that the dual‐ligand amidoxime configuration significantly strengthens Ga(III) affinity.
Zhifang Lv +9 more
wiley +1 more source

