Hydrogel‐Based 3D‐Printable Stretchable Pressure Sensor
We present a carbon‐black‐functionalized double‐network granular hydrogel (DNGH) pressure sensor capable of detecting pressures from 200 Pa, equivalent to a light finger touch, up to 500 kPa. The sensor exhibits signal drifts below 3.5% after 800 cycles and response times around 80 ms. Leveraging this broad sensing range, we 3D print this material into
Tianyu Yuan +4 more
wiley +1 more source
Study on Fatigue Behavior and Life Prediction of Laser Powder Bed Fused Ti6Al4V Alloy at 400 °C. [PDF]
Wu L, Xu R, Zhang J, Yu H, Jiao Z.
europepmc +1 more source
Templated perpendicular ferroelectricity in textured Aurivillius oxide-based thin films. [PDF]
Zhou S +13 more
europepmc +1 more source
Radio Frequency Interference Suppression for High-Frequency Ocean Remote Sensing Radar with Inter-Pulse Phase Agility Waveform. [PDF]
Zhou H, Wu X, Yu L, Mo F, Li X.
europepmc +1 more source
Curvilinear Magnonic Crystal Based on 3D Hierarchical Nanotemplates. [PDF]
Gubbiotti G +13 more
europepmc +1 more source
Fairer non-negative matrix factorization. [PDF]
Kassab L +5 more
europepmc +1 more source
Biomimetic climbing robot design inspired by geckos and cats for rough wall applications. [PDF]
Jodah MK +5 more
europepmc +1 more source
An alternating direction method for finding Dantzig selectors [PDF]
In this paper, we study the alternating direction method for finding the Dantzig selectors, which are first introduced in [8]. In particular, at each iteration we apply the nonmonotone gradient method proposed in [17] to approximately solve one subproblem of this method. We compare our approach with a first-order method proposed in [3].
Zhaosong Lu, Ting Kei Pong
exaly +3 more sources
An Accelerated Linearized Alternating Direction Method of Multipliers [PDF]
We present a novel framework, namely AADMM, for acceleration of linearized alternating direction method of multipliers (ADMM). The basic idea of AADMM is to incorporate a multi-step acceleration scheme into linearized ADMM. We demonstrate that for solving a class of convex composite optimization with linear constraints, the rate of convergence of AADMM
Yuyuan Ouyang +2 more
exaly +3 more sources

