Results 61 to 70 of about 198,702 (279)

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

open access: yesAdvanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro   +3 more
wiley   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

open access: yesAdvanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán   +5 more
wiley   +1 more source

Ensuring Zero Trust in GDPR-Compliant Deep Federated Learning Architecture

open access: yesComputers
Deep Federated Learning (DFL) revolutionizes machine learning (ML) by enabling collaborative model training across diverse, decentralized data sources without direct data sharing, emphasizing user privacy and data sovereignty.
Zahra Abbas   +5 more
doaj   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Hardware/Software Implementation of a Chip-to-Chip Communication Protocol Based on SPDM

open access: yesIEEE Access
Zero-Trust security has received significant attention because of its focus on the need to constantly verify rather than trust, especially as attackers use increasingly sophisticated methods.
Kais Belwafi   +4 more
doaj   +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

Cybersecurity Access Control: Framework Analysis in a Healthcare Institution

open access: yesJournal of Cybersecurity and Privacy
Cyber threats are continually evolving and becoming increasingly complex, affecting various industries. Healthcare institutions are the second most targeted industry, preceded by manufacturing.
Erik William Tomlinson   +3 more
doaj   +1 more source

A Framework for Blockchain Interoperability and Runtime Selection

open access: yes, 2019
The suitability of a particular blockchain for a given use case depends mainly on the blockchain's functional and non-functional properties. Such properties may vary over time, and thus, a selected blockchain may become unsuitable for a given use case ...
Borkowski, Michael   +2 more
core  

Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures

open access: yes, 2017
Deep artificial neural networks (ANNs) can represent a wide range of complex functions. Implementing ANNs in Von Neumann computing systems, though, incurs a high energy cost due to the bottleneck created between CPU and memory.
Gupta, Jayesh K   +2 more
core   +1 more source

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