Results 91 to 100 of about 273,497 (278)

The Terminal Domains of Collagen‐Like Silk Direct Molecular Interactions and Liquid–Liquid Phase Separation‐Mediated Material Assembly

Advanced Functional Materials, EarlyView.
Terminal domains of recombinant collagen‐like silk regulate hierarchical self‐assembly across molecular and material scales. We show that terminal domains of collagen‐like silk enhance triple‐helix stability and drive liquid–liquid phase separation, enabling reversible formation of fibers and self‐healing films.
Mengjie Shen, Daniil Astapov, Nur Alia Oktaviani, Mami Goto, Keiji Numata, A. Sesilja Aranko   +5 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Regularization of Nonlinear Volterra Integral Equations of the First Kind with Smooth Data

AppliedMath
The paper investigates the regularization of solutions to nonlinear Volterra integral equations of the first kind, under the assumption that a solution exists and belongs to the space of continuous functions.
Taalaibek Karakeev, Nagima Mustafayeva
doaj   +1 more source

Topological regular variation: III. Regular variation

Topology and its Applications, 2010
The paper extends the topological theory of regular variation of the slowly varying case of \textit{N. H. Bingham} and \textit{A. J. Ostaszewski} [Topology Appl. 157, No. 13, 1999--2013 (2010; Zbl 1202.26004)] to the regularly varying functions between metric groups, viewed as normed groups, cf. \textit{N. H. Bingham} and \textit{A. J.
Bingham, N.H., Ostaszewski, A.J.
openaire   +1 more source

Tailor‐Made Protective LixAlSy Layer for Lithium Anodes to Enhance the Stability of Solid‐State Lithium–Sulfur Batteries

Advanced Materials Interfaces, EarlyView.
An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang, Katja Kretschmer, Sharif Haidar, Georg Garnweitner, Daniel Schröder   +4 more
wiley   +1 more source

Bayesian Regularization for Dynamical System Identification: Additive Noise Models

Physical Sciences Forum
Consider the dynamical system x ˙ = f ( x
Robert K. Niven, Laurent Cordier, Ali Mohammad-Djafari, Markus Abel, Markus Quade   +4 more
doaj   +1 more source

IoT CHALLENGES & EVOLUTION [PDF]

Annals: Series on Military Sciences, 2018
As a result of rapid social changes, the fundamental human right to information is increasingly linked more closely to the right of access to broadband services.
Mircea Constantin ŞCHEAU
doaj  

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space

Frontiers in Neuroinformatics, 2018
Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions and scales.
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Dinggang Shen, Pew-Thian Yap   +6 more
doaj   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Self-Adaptive Alternating Direction Method of Multipliers for Image Denoising

Applied Sciences
In this study, we introduce a novel self-adaptive alternating direction method of multipliers tailored for image denoising. Our approach begins by formulating a collaborative regularization model that upholds structured sparsity within images while ...
Mingjie Xie, Haibing Guo
doaj   +1 more source