Results 21 to 30 of about 3,237 (110)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Non-Close-Packed Three-Dimensional Quasicrystals
Quasicrystals are frequently encountered in condensed matter. They are important candidates for equilibrium phases from the atomic scale to the nanoscale. Here, we investigate the computational self-assembly of four quasicrystals in a single model system
Damasceno, Pablo F. +2 more
core +1 more source
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Nanoscale layering of antiferromagnetic and superconducting phases in Rb2Fe4Se5
We studied phase separation in a single-crystalline antiferromagnetic superconductor Rb2Fe4Se5 (RFS) using a combination of scattering-type scanning near-field optical microscopy (s-SNOM) and low-energy muon spin rotation (LE-\mu SR). We demonstrate that
A. Charnukha +13 more
core +1 more source
Ultracentrifugation‐assisted phosphate–sulfate treatment induces self‐limiting nano‐pitting on carbon nanotube surfaces, creating confined sites for in situ growth of Na2.85V2(PO4)2.85(SO4)0.15 nanodots. This embedded nanodot–carbon interface ensures strong electronic coupling and short ion pathways, enabling capacitor‐like sodium storage with ...
Naohisa Okita +10 more
wiley +1 more source
Towards a microscopic understanding of phonon heat conduction [PDF]
Heat conduction by phonons is a ubiquitous process that incorporates a wide range of physics and plays an essential role in applications ranging from space power generation to LED lighting. Heat conduction has been studied for over two hundred years, yet
Minnich, Austin J.
core +1 more source
Renormalization group approach to multiscale modelling in materials science
Dendritic growth, and the formation of material microstructure in general, necessarily involves a wide range of length scales from the atomic up to sample dimensions. The phase field approach of Langer, enhanced by optimal asymptotic methods and adaptive
A. C. Newell +33 more
core +2 more sources
Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao +10 more
wiley +1 more source
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini +3 more
wiley +1 more source
Anharmonic stabilization and lattice heat transport in rocksalt $\beta$-GeTe
Peierls-Boltzmann transport equation, coupled with third-order anharmonic lattice dynamics calculations, has been widely used to model lattice thermal conductivity ($\kappa_{l}$) in bulk crystals.
Chan, Maria K. Y., Xia, Yi
core +1 more source

