Results 171 to 180 of about 416,748 (357)

A Self‐Curling Si3N4‐Biofunctionalized Nerve Wrap for Suture‐Free Peripheral Nerve Repair with Multimodal Regenerative Bioregulation

Advanced Functional Materials, EarlyView.
Si3N4‐enhanced bioactive nanostructured adhesive wrap enables rapid conduit formation in wet environments, simplifying surgical procedures. Incorporated Si3N4 undergoes controlled hydrolysis within nanofibers, multi‐directionally modulating the peripheral nerve repair microenvironment for effective suture‐free repair.
Pengchao Ma, Yihao Liu, Bowen Ren, Chun‐Yi Yang, Xiaobin Luo, Peilun Hu, Jia Yang, Zheng Cao, Keya Mao, Jianheng Liu, Xiumei Wang   +10 more
wiley   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Waste polyethylene terephthalate as an aggregate in concrete

Materials Research, 2013
This paper reports the strength behaviour of concrete containing three types of recycled polyethylene terephthalate (PET) aggregate. Results are also analysed to determine the PET-aggregate's effect on the relationship between the flexural and splitting ...
Nabajyoti Saikia, Jorge de Brito
doaj  

Advanced Surface Engineering and Passivation Strategies of Quantum Dots for Breaking Efficiency Barrier of Clean Energy Technologies: A Comprehensive Review

Advanced Functional Materials, EarlyView.
This review describes the different surface engineering strategies for quantum dots that addresses the challenges associated with surface defects, highlighting their role in enhancing the performance of solar energy conversion technologies. Abstract Colloidal quantum dots (QDs) have garnered significant attention for their unique potential in clean ...
Kokilavani S., Gurpreet Singh Selopal
wiley   +1 more source

Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength [PDF]

Manish Tak, Yanxiao Feng, Mohamed Mahgoub   +2 more
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Prediction of Compressive Strength of Concrete Using Explainable Machine Learning Models. [PDF]

Materials (Basel)
Fu H, Zhou X, Xu P, Sun D.
europepmc   +1 more source

COMPRESSIVE STRENGTH OPTIMIZATION OF CONCRETE MIXED WITH WASTE CERAMICS AND FLY ASH

, 2019
Kenneth Jae T
openalex   +1 more source

Experimental study on compressive strength and durability of steel slag cement non-burned and non-steamed brick

, 2021
Biying Cui, Bingcong Gao, Qiang Li, Hongzhen Kang   +3 more
openalex   +1 more source

Nanoplasmonics Reveal Ionic‐Strength‐Driven Hydration of Nanoparticles

Advanced Functional Materials, EarlyView.
Localized surface plasmon resonance (LSPR) of gold nanoparticles (AuNPs) is modulated by ionic‐strength‐dependent hydration shell compression. A predictive model connects shell thickness to non‐radiative damping and spectral shifts over seven orders of magnitude.
Yeeun Song, Abhijit Ganguly, Zoe Bradley, Doojin Lee, Nikhil Bhalla   +4 more
wiley   +1 more source