Results 151 to 160 of about 7,361 (311)
Femtosecond‐Laser Mould Texturing Enables Tunable Biointerfaces in COC Microfluidics
Advanced Materials Interfaces, EarlyView.Femtosecond‐laser texturing of injection‐mould inserts enables scalable engineering of biointerfaces in cyclic olefin copolymer microfluidics. Replicated micro‐ and nano‐topographies modulate surface roughness and wettability, leading to texture‐dependent protein adsorption and cell adhesion without chemical post‐processing.
Irene Varela‐Leniz +9 more
wiley +1 more source
A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms
Advanced Materials Interfaces, EarlyView.A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim +4 more
wiley +1 more source
Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models. [PDF]
Continuous-time stochastic volatility models are becoming increasingly popular in finance because of their flexibility in accommodating most stylized facts of financial time series.
Emanuele Taufer +2 more
core
Thermal Radiation Emission From 3D Graphene Networks
Advanced Materials Interfaces, EarlyView.Three‐dimensional graphene networks are demonstrated as exceptional broadband thermal emitters, exhibiting high‐intensity, spectrally homogeneous emission and strong mechanical flexibility compared to conventional emitters like silicon carbide.
Maria Chiara Paolozzi +7 more
wiley +1 more source
, 1977 Differential equations have been used to model physical systems, but in many processes this has not been sufficient due to the presence of random occurrences in the system. One method of dealing with this problem is to model the system as a stochastic or random process.
openaire +2 more sources
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
New adaptive memory stochastic fractional operators and their applications in computational intelligence. [PDF]
Sci RepKhan TU, Al-Juaid BS, Markarian C.
europepmc +1 more source