Results 91 to 100 of about 209,737 (306)

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

open access: yesAdvanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour   +11 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Super-resolution reconstruction : analysis and applications [PDF]

open access: yes, 2019
In many imaging applications, the acquisition of high resolution (HR) images/video is highly desirable, but may not be available due to various practical limitations. Even if the prices of HR sensors in many commercial digital cameras decrease, the transmission and processing of HR images/video could still be a problem.
openaire   +2 more sources

AFOD Regularization for Super-Resolution Reconstruction

open access: yesProcedia Engineering, 2011
AbstractIn this paper, we present a new regularization-based approach to construct a high-resolution image. The objective functional of the approach consists of a data fidelity term and a regularization term based on anisotropic fourth-order diffusion (AFOD) prior.
Huang, Shuying, Yang, Yong, Wang, Guoyu
openaire   +1 more source

3D Multicellular Scaffold Based Model for Advancing Bone Disorder Research

open access: yesAdvanced Functional Materials, EarlyView.
A scalable 3D multicellular in vitro bone model engineered by integrating osteoblasts, osteoclasts, and endothelial cells on biodegradable scaffolds. The system recapitulates key features of human bone remodeling and disease pathology. As a proof of concept, the model mimics osteogenesis imperfecta, demonstrating its potential as a physiologically ...
Gali Guterman‐Ram   +5 more
wiley   +1 more source

Mechanically Tunable Bone Scaffolds: In Vivo Hardening of 3D‐Printed Calcium Phosphate/Polycaprolactone Inks

open access: yesAdvanced Functional Materials, EarlyView.
A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz   +7 more
wiley   +1 more source

Defect Analysis of the β– to γ–Ga2O3 Phase Transition

open access: yesAdvanced Functional Materials, EarlyView.
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas   +9 more
wiley   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Residual trio feature network for efficient super-resolution

open access: yesComplex & Intelligent Systems
Deep learning-based approaches have demonstrated impressive performance in single-image super-resolution (SISR). Efficient super-resolution compromises the reconstructed image’s quality to have fewer parameters and Flops.
Junfeng Chen   +3 more
doaj   +1 more source

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