Results 121 to 130 of about 401,900 (340)

Influence of the Substrate Temperature on the Growth Mechanism of Allylamine Plasma Polymer Films

Advanced Materials Interfaces, EarlyView.
The influence of the substrate temperature on the growth mechanism of allylamine plasma polymers is investigated by correlating the plasma chemistry and the physico‐chemical properties of the coatings. New insights about the mechanistic formation of functionalized plasma polymers at a molecular level are provided, paving the way toward a better ...
Robin Dantinne, Nathan Vinx, Philippe Leclère, Damien Cossement, Claude Poleunis, Arnaud Delcorte, Damien Thiry   +6 more
wiley   +1 more source

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC‐STM of Adsorbate–Substrate Superstructures

Advanced Materials Interfaces, EarlyView.
Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków, Paulina Wira, Anna Futyma, Radosław Wasielewski, Tomasz Kosmala   +4 more
wiley   +1 more source

Computed Tomography Colonography dose audit, comparing 3 reconstruction algorithms - Filtered Back Projection, hybrid Iterative reconstruction (iDose) and Iterative Model Reconstruction (IMR)

, 2015
Chee Cheen Yeong
openalex   +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

Tomographic task solution using a dichotomous discretization scheme in polar coordinates and partial system matrices invariant to rotations

Российский технологический журнал
Objectives. The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data.
A. А. Manushkin, N. N. Potrachov, A. V. Stepanov, E. Yu. Usachev   +3 more
doaj   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Approximation of an Inertial Iteration Method for a Set-Valued Quasi Variational Inequality

Iraqi Journal for Computer Science and Mathematics
In this article, a projection type two step inertial iterative scheme for investigating set-valued quasi variational inequality in real Banach spaces is designed. We manifest the existence result and verified by an illustrative example.
Mohammad Akram
doaj   +1 more source

Application of Micro-Plane Projection Moving Least Squares and Joint Iterative Closest Point Algorithms in Spacecraft Pose Estimation [PDF]

Youzhi Li, Han Yuan, Jiaqi Yao, Yanqiu Wang, Fu Zheng, Zhibin Sun   +5 more
openalex   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning

e-Journal of Nondestructive Testing
This study addresses the challenge of applying analytical methods for Cone Beam Computed Tomography (CBCT) reconstructions along arbitrary trajectories instead of iterative methods.
Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier   +3 more
doaj   +1 more source