Results 141 to 150 of about 185,642 (308)

Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands [PDF]

, 2011
This paper proposes a multiscale texture classifier which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image.
Tjahjadi, Tardi, Turgay Çelik, Tardi Tjahjadi, Çelik, Turgay   +3 more
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

OPUS-BFactor: Predicting Protein B-Factor with Sequence and Structure Information

Molecules
Protein B-factor, also known as the Debye–Waller temperature factor or atomic displacement parameter, measures the thermal fluctuation of an atom around its average position. It serves as a crucial indicator of protein flexibility and dynamics.
Yulu Yang, Ying Lv, Zhenwei Luo, Qinghua Wang, Gang Xu, Jianpeng Ma   +5 more
doaj   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Multiscale Computations for Highly Oscillatory Problems

, 2009
We review a selection of essential techniques for constructing computational multiscale methods for highly oscillatory ODEs. Contrary to the typical approaches that attempt to enlarge the stability region for specialized problems, these lecture notes ...
Gil Ariel, Engquist, Björn,, Björn Engquist, Tsai, R., Heinz-Otto Kreiss, Kreiss, H. -O, Ariel, G., Richard Tsai   +7 more
core   +1 more source

Light penetration-coupled photoisomerization modeling for photodeformation of diarylethene single crystal: upscaling isomerization to macroscopic deformation

Scientific Reports, 2017
Diarylethene is one of the photo-responsive materials that show rapid and reversible changes in their color/electrochemical properties and macroscopic deformations in the crystalline phase by light irradiation. Photoisomerization is the main cause of the
Muyoung Kim, Jung-Hoon Yun, Maenghyo Cho
doaj   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source

Confinement in Metal‐Organic Frameworks as a Route to Harnessing Liquid Barocalorics in the Solid‐State

Advanced Functional Materials, EarlyView.
Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng, Frederic Rendell‐Bhatti, Eamonn T. Connolly, Yang Wang, Clàudia Pérez‐Junyent, Josep‐Lluís Tamarit, Ross S. Forgan, Pol Lloveras, David Boldrin   +8 more
wiley   +1 more source

Multiscale scanning with nuisance parameters

We develop a multiscale scanning method to find anomalies in a d-dimensional random field in the presence of nuisance parameters. This covers the common situation that either the baseline-level or additional parameters such as the variance are unknown ...
Werner, Frank, Munk, Axel, König, Claudia   +2 more
core   +1 more source

Refining machine learning potentials through thermodynamic theory of phase transitions

npj Computational Materials
Foundational machine learning potentials can alleviate the accuracy and transferability limitations of classical force fields. They can substantially expedite material design and discovery by providing microscopic insights into material behavior through ...
Paul Fuchs, Julija Zavadlav
doaj   +1 more source