Results 261 to 270 of about 17,478,568 (370)

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Performance enhancement in blockchain based IoT data sharing using lightweight consensus algorithm. [PDF]

Sci Rep
Haque EU, Abbasi W, Almogren A, Choi J, Altameem A, Rehman AU, Hamam H.   +6 more
europepmc   +1 more source

Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel

Advanced Engineering Materials, EarlyView.
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker, Felix Radtke, Jonathan Lentz, Santiago Benito, Christoph Broeckmann, Sebastian Weber   +5 more
wiley   +1 more source

Database energy saving strategy using blockchain and Internet of Things. [PDF]

Sci Rep
Yang D, Yu J, He Z, Li P.
europepmc   +1 more source

Nanoparticle‐Coated X2CrNiMo17‐12‐2 Powder for Additive Manufacturing – Part I: Surface, Flowability, and Optical Properties of SiC, Si, and Si3N4 Coated Metal Powders

Advanced Engineering Materials, EarlyView.
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke, Nick Hantke, Harald Zetzener, Jan T. Sehrt, Arno Kwade   +4 more
wiley   +1 more source

Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks. [PDF]

Sensors (Basel)
Chang Z, Cai Y, Liu XF, Xie Z, Liu Y, Zhan Q.   +5 more
europepmc   +1 more source

Spray Deposition for Solvent Annealing of Hybrid Poly(3,4‐Ethylenedioxythiophene) Polystyrene Sulfonate Cellulose Silver Nanowire Composite Electrodes Using a Roll‐to‐Roll Coater

Advanced Engineering Materials, EarlyView.
The fabrication and post‐treatment via solvent annealing of poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate‐based electrodes using spray deposition in a roll‐to‐roll setup are presented. The decrease in sheet resistance and its correlation with nanostructure and molecular structure in the electrodes as a function of the processing parameters is ...
Marie Betker, Benedikt Sochor, Elisabeth Erbes, Alisher Kurmanbay, Tim Erichlandwehr, Yanan Li, Peter Müller‐Buschbaum, Irene Fernandez‐Cuesta, Simone A. Techert, L. Daniel Söderberg, Stephan V. Roth   +10 more
wiley   +1 more source

Blockchain enabled traceability in the jewel supply chain. [PDF]

Sci Rep
Patel A, Sai S, Daiya A, Akolekar H, Chamola V.   +4 more
europepmc   +1 more source

High Repetition Rate Laser‐Induced Printing of Bioink with Picosecond Pulse Durations: Optimization of the Printing Process

Advanced Engineering Materials, EarlyView.
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert, Adrien Casanova, Ahmed Al‐Kattan, Stefano Testa, Frédérique Magdinier, Anne‐Patricia Alloncle   +5 more
wiley   +1 more source

A decentralized authentication scheme for smart factory based on blockchain. [PDF]

Sci Rep
Cao Z, Wen X, Ai S, Shang W, Huan S.
europepmc   +1 more source