Results 131 to 140 of about 4,580,226 (289)

Mechanistic Origins of Chemo‐Mechanical Instability and Failure in Solid‐State Lithium‐Sulfur Electrodes

Advanced Functional Materials, EarlyView.
Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma, Ahmad Ahmad, Bairav S. Vishnugopi, Partha P. Mukherjee   +3 more
wiley   +1 more source

Comprehensive Analysis of Network Slicing for the Developing Commercial Needs and Networking Challenges. [PDF]

Sensors (Basel), 2022
Zahoor S, Ahmad I, Othman MTB, Mamoon A, Rehman AU, Shafiq M, Hamam H.   +6 more
europepmc   +1 more source

Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells

Advanced Functional Materials, EarlyView.
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong, Qihang Wang, Andre E. Vellwock, Sinuhe Perea Puente, Tingting Zhu, Jia Hui Lim, Kadda Medjoubi, Sebastian Hoerl, Erika Griesshaber, Wolfgang W. Schmahl, Yannicke Dauphin, Emeline Raguin, Peter Werner, Francesco Stellacci, Michael V. Swain, Peter Fratzl, Shahrouz Amini   +16 more
wiley   +1 more source

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability.

PLoS ONE
Communication networks of the future will rely heavily on network slicing (NS), a technology that enables the creation of distinct virtual networks within a shared physical infrastructure.
Md Fahim Ul Islam, Shahriar Hossain, Md Golam Rabiul Alam, Nafees Mansoor, Amitabha Chakrabarty   +4 more
doaj   +1 more source

BENS-B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks. [PDF]

Sensors (Basel), 2022
Singh S, Babu CR, Ramana K, Ra IH, Yoon B.   +4 more
europepmc   +1 more source

Oxygen Evolution Electrocatalysts with Trinuclear, Mixed‐Valence Iron Motifs on Electronically Aligned Carbon Dots

Advanced Functional Materials, EarlyView.
Trinuclear iron oxo‐bridged catalytic ensembles stabilized by aspartic‐acid‐derived carbon dots provide an effective platform for alkaline oxygen evolution. Mixed‐valence charge balancing, inner‐sphere charge transport, and work‐function alignment within the N/O‐rich carbon framework promote cooperative Fe‐site chemistry and efficient OER ...
Megha A. Deshmukh, Giorgio Zoppellaro, Emiliano Fonda, Lukáš Zdražil, Shounik Paul, David Panáček, Hanuman Thorat, Zdeněk Badura, Michele Melchionna, Manuela Bevilacqua, Paolo Fornasiero, Klaus Müllen, Radek Zbořil, Aristides Bakandritsos   +13 more
wiley   +1 more source

5G Network Slicing: Methods to Support Blockchain and Reinforcement Learning. [PDF]

Comput Intell Neurosci, 2022
Hu J, Wu J.
europepmc   +1 more source

Dynamic Observation of Lacy Pattern Formation in a Bone Tissue Model Using Liquid Phase Scanning Transmission Electron Microscopy

Advanced Functional Materials, EarlyView.
Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten, Avital Wagner, Rona Roverts, Luco Buise, Ben Joosten, Anat Akiva, Elena Macías‐Sánchez, Nico Sommerdijk   +7 more
wiley   +1 more source

A DoS Attack Against 5G-Based IIoT Networks Utilizing Standard Network Slicing Mechanisms

IEEE Access
5G networks promise to integrate several new technologies including cloud-based virtualization of physical resources and network functions, as well as the separation of the control plane from the data plane.
Abrar Al-Qahtani, Muhammad E. S. Elrabaa
doaj   +1 more source

Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey. [PDF]

Sensors (Basel), 2022
Hurtado Sánchez JA, Casilimas K, Caicedo Rendon OM.   +2 more
europepmc   +1 more source