Results 131 to 140 of about 227,117 (269)

Combining 5G New Radio, Wi-Fi, and LiFi for Industry 4.0: Performance Evaluation. [PDF]

Sensors (Basel)
Navarro-Ortiz J, Ramos-Munoz JJ, Delgado-Ferro F, Canellas F, Camps-Mur D, Emami A, Falaki H.   +6 more
europepmc   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen   +2 more
wiley   +1 more source

5 G new radio fiber-wireless converged systems by injection locking multi-optical carrier into directly-modulated lasers. [PDF]

Commun Eng
Lu HH, Lin HM, Wang CP, Hayle ST, Li CY, Huang XH, Bai YY, Okram K, Lu JM, Chung YC, Hsu WW.   +10 more
europepmc   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Radiological quiz - neuroradiology

Indian Journal of Radiology and Imaging, 2006
P Jagmohan, S Sangwan, S Sethi, RS Solanki, BKS Chauhan   +4 more
doaj   +1 more source

Development of Wearable Textile MIMO Antenna for Sub-6 GHz Band New Radio 5G Applications. [PDF]

Micromachines (Basel)
Pradeep P, Basha MM, Gundala S, Syed J.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

Machine learning enabled dual to wideband frequency agile [Formula: see text]ceramic-based dielectric MIMO antenna for 5G new radio applications. [PDF]

Sci Rep
Rai JK, Dwivedi AK, Singh V, Ranjan P, Sharma A, Pandey A.   +5 more
europepmc   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source