Results 121 to 130 of about 7,058 (307)

Ambient‐Spray Ni–Cu(–O)/Ag Nanowire Transparent Heaters for High‐Temperature Heating and Far‐/Near‐Field EMI Suppression

open access: yesAdvanced Materials Interfaces, EarlyView.
A vacuum‐free, ambient‐spray Ni–Cu(–O)/Ag nanowire transparent‐heater platform is realized via conformal junction‐shell engineering and silica–hybrid overcoating, enabling robust high‐temperature heating together with GHz‐band far‐field EMI shielding and near‐field magnetic‐noise attenuation.
Ye Na Heo   +4 more
wiley   +1 more source

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

open access: yesAdvanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah   +7 more
wiley   +1 more source

Standardizing digital twin solutions for linear infrastructure: a modular framework based on academic case studies and market needs analysis [PDF]

open access: yes
LAUREA MAGISTRALEIl Digital Twin (DT) è diventato una delle principali iniziative tecnologiche che guidano l’evoluzione dell’Industria 4.0. Negli ultimi anni, la sua applicazione si è notevolmente estesa oltre le sue radici originarie nel settore ...
LETRADO FORERO, CRISTHIAN
core  

In Situ Integrated Titanium Oxide Synaptic Phototransistor Enabling Multimodal Plasticity and Noise‐Robust Selective Attention

open access: yesAdvanced Materials Technologies, EarlyView.
An in situ integrated TiO2/SiOx/Al2O3 synaptic phototransistor couples ultraviolet and electrical stimuli within a scalable, CMOS‐compatible oxide stack. Multimodal plasticity, spike‐timing‐dependent learning, and bee‐inspired associative conditioning are achieved through trap‐mediated temporal dynamics.
Youngbin Yoon   +5 more
wiley   +1 more source

Ontology-based digital twin for maintenance decisions in manufacturing systems: an application at laboratory scale [PDF]

open access: yes
International audienceIn the Industry 4.0 environment, the maintenance of industrial assets is of increasing importance, and, in this domain, the recently emerged technology of Cognitive Digital Twin (CDT) is particularly suitable for the satisfaction of
Voisin, Alexandre   +3 more
core   +1 more source

Modeling Light‐Induced Synaptic Behavior and Visual Memory of Azopolymeric Compounds

open access: yesAdvanced Optical Materials, EarlyView.
In the framework of neuromorphic hardware it is essential to predict the evolution of the internal state of the devices mimicking synaptic functionalities to perform in‐silico modeling of specific computational tasks. Here, we provide a rate‐balance equation model to describe the synaptic‐like response of light‐actuated azopolymeric compounds and ...
Mateo Rosero‐Realpe   +3 more
wiley   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Digital Twin Design [PDF]

open access: yes
The design of Digital Twin is crucial to the Digital Roads project (and to any other projects that aim to leverage DT technologies). The DT platform is essentially a Software as a Service (SaaS).

core   +2 more sources

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

open access: yesAdvanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka   +3 more
wiley   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

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