Results 171 to 180 of about 2,330,665 (285)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Workpiece temperature field and process force data for turning steel and aluminum alloy under varying machining parameters. [PDF]

Data Brief
Langenhorst L, Sölter J.
europepmc   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

Research on Adaptive Machining Technology for Aluminum Alloy Free-Form Surfaces. [PDF]

Materials (Basel)
Zhang W, Wang Y.
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Machine learning prediction and hybrid GRA-AHP optimization of AWJM parameters of ultrasonic assisted stir cast Al6061-B[Formula: see text]C-ZrO[Formula: see text] composites. [PDF]

Sci Rep
K A, Shaik AS, Tota RK, Chavda NK, Bodduru K, Alqahtani SS, Kassa MK.   +6 more
europepmc   +1 more source

Accuracy Mentenance of Machine Tools

Journal of the Society of Mechanical Engineers, 1964
openaire   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Hybrid fuzzy AHP-WASPAS optimization of turning parameters for electronic waste-derived aluminum alloys: advancing sustainable machining in line with sustainable development goals and circular manufacturing. [PDF]

Sci Rep
Sundar Singh Sivam SP, Umasekar VG, Kesavan S, Sathishkumar P.   +3 more
europepmc   +1 more source