Results 81 to 90 of about 1,373,815 (245)

Optical Detection of Cellular Signals at Material Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren   +5 more
wiley   +1 more source

Friction Coefficient between Rubber and Solid Substrate - Effect of Rubber Thickness - [PDF]

open access: yes, 2007
The frictional coefficient μ between poly(dimethylsiloxane) (PDMS) rubber and glass plate with PDMS lubricant is measured for various thickness of rubber sample.
Kaneko,Daisaku   +4 more
core   +1 more source

A finite element analysis (FEA) approach to simulate the coefficient of friction of a brake system starting from material friction characterization [Elektronisk resurs]

open access: yes, 2021
The coefficient of friction (COF) is one of the most important parameters to evaluate the performance of a brake system. To design proper brake systems, it is important to know the COF when estimating the brake force and resulting torque.
Wahlström, Jens,   +3 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene

open access: yesAdvanced Materials, EarlyView.
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar   +8 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

Temperature Influence on Brake Pad Friction Coefficient Modelisation. [PDF]

open access: yesMaterials (Basel), 2023
Bellini C   +3 more
europepmc   +1 more source

Experimental characterization of friction coefficients at the tool-chip-workpiece interface in cutting: Evaluation of lubrication efficiency of mineral oil [PDF]

open access: yes, 2010
Collaboration avec le LTDS/ENISEThe characterization of friction coefficients at the tool-chip-workpiece interface remains an issue. This paper presents a new experimental set-up able to simulate similar tribological phenomena as the ones occurring at ...
RECH, Joël   +4 more
core  

Quantifying touch-feel perception : tribological aspects [PDF]

open access: yes, 2008
We report a new investigation into how surface topography and friction affect human touch–feel perception. In contrast with previous work based on micro-scale mapping of surface mechanical and tribological properties, this investigation focuses on the ...
Cai, Z.   +4 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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