Results 171 to 180 of about 4,968,550 (330)

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak   +19 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

open access: yesAdvanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen   +15 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes

open access: yesAdvanced Functional Materials, EarlyView.
Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita   +6 more
wiley   +1 more source

Geometric Accuracy of Workpieces in Grinding

open access: yesGeometric Accuracy of Workpieces in Grinding
研削加工は, 主として切削加工後の熱処理のために変形した工作物を再加工して, 所定の寸法, 形状を得るために行われる。従って, 多くの場合, 機械加工の最終工程として行われるので, 研削加工後の工作物の精度は, それらを組立てることによって出来上がる各種の機械の性能に大きな影響を及ぼす。本稿は, 著者がこれまでに経験した研削加工精度に関する諸問題のうち, 工学的にも興味深く, 工業的にも有用と考えられるいくつかを抜出して解説したものである。これによれば, 研削力に起因する加工系の弾性変影, 研削熱に起因する工作物の熱変形は最も大きな誤差源である事が明らかにされている。また, 加工系の弾性変影を積極的に利用する事によって加工精度を向上させる事を提案している。
openaire  

Analysis of geometric accuracy of turned workpieces [PDF]

open access: yesManufacturing Technology, 2013
Karol Vasilko, Zuzana Murčinková
openaire   +1 more source

Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers

open access: yesAdvanced Functional Materials, EarlyView.
We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar   +6 more
wiley   +1 more source

Continuous speech recognition based on ICA and geometrical learning

open access: yes, 2006
We investigate the use of independent component analysis (ICA) for speech feature extraction in digits speech recognition systems. We observe that this may be true for recognition tasks based on Geometrical Learning with little training data. In contrast
Wang SJ (Wang Shoujue)   +4 more
core  

Home - About - Disclaimer - Privacy