Results 101 to 110 of about 16,838,211 (334)

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source

Reinforcement learning in electric vehicle energy management: a comprehensive open-access review of methods, challenges, and future innovations

Frontiers in Future Transportation
Electrification of transport is accelerating worldwide, raising new challenges for energy efficiency and control in electric vehicles. Reinforcement learning has emerged as a promising data-driven approach to address the complexity of real-time energy ...
Georginio Ananganó-Alvarado, Ignacio Umaña-Morel, Brian Keith-Norambuena   +2 more
doaj   +1 more source

A Deep Reinforcement Learning-Based MPPT Control for PV Systems under Partial Shading Condition

Sensors, 2020
On the issues of global environment protection, the renewable energy systems have been widely considered. The photovoltaic (PV) system converts solar power into electricity and significantly reduces the consumption of fossil fuels from environment ...
Bao Chau Phan, Ying-Chih Lai, Chin E. Lin   +2 more
doaj   +1 more source

Deep Learning via Neural Energy Descent

, 2023
This paper proposes the Nerual Energy Descent (NED) via neural network evolution equations for a wide class of deep learning problems. We show that deep learning can be reformulated as the evolution of network parameters in an evolution equation and the ...
Wang, Chunmei, Hao, Wenrui, Yang, Haizhao, Xu, Xingjian   +3 more
core  

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Edible Cuttlefish Ink: Complex Chemistry, Structure, and Electrical Response

Advanced Engineering Materials, EarlyView.
An integrated approach of chemistry‐structure‐electrical properties is used to assess the potential of edible cuttlefish ink as a bio‐based conductive ink for printable electronics. Chromatography and Neutron Activation Analysis reveal a fascinating molecular and elemental diversity.
Camille Bour‐Cardinal, Darren Hall, Teresa Cecchi, Sara Offidani, Philippe Plamondon, Clara Santato   +5 more
wiley   +1 more source

Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things

Indonesian Journal of Electrical Engineering and Computer Science
The internet of things (IoT) underscores pivotal real-world applications ranging from security systems to smart infrastructure and traffic management. However, contemporary IoT devices grapple with significant challenges pertaining to battery longevity ...
Sampoorna Bhimshetty, Agughasi Victor Ikechukwu   +1 more
semanticscholar   +1 more source

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

Advanced 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, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Energy-Smart Building Choices: How Parents and Teachers Are Helping to Create Better Environments for Learning

, 2001
Most K-12 schools could save 25% of their energy costs by being smart about energy. Nationwide, the savings potential is $6 billion. While improving energy use in buildings and busses, schools are likely to create better places for teaching and learning,
Team, Energy Smart Schools
core  

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source