Results 181 to 190 of about 2,017,112 (308)

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

Accelerated Stochastic Conjugate Gradient for a class of convex optimization. [PDF]

PLoS One
He L, Du Y.
europepmc   +1 more source

Optimization of Mixed Energy Supply of IoT Network Based on Matching Game and Convex Optimization. [PDF]

Sensors (Basel), 2020
Han D, Liu T, Qi Y.
europepmc   +1 more source

Innovative Test Strip‐Based Colorimetric Sensors Integrated With Affinity Chromatography: Acetylcholinesterase Inhibitor Screening Breakthrough in Lycium Barbarum Leaves

Advanced Science, EarlyView.
Schematic diagrams illustrating the breakthrough in the screening of AChE inhibitors from LBL, and the research process of the pharmacodynamics of the NCP are presented. ABSTRACT Current Alzheimer's drugs exhibit limited effectiveness, highlighting the necessity for multi‐target treatments.
Yuping Sa, Hui Yuan, Jingui Ma, Zhigang Yang, Mei Wang, Weibiao Wang, Lingling Yang, Fen Ma, Weiman Zhang, Gidion Wilson Mening'oo, Guoning Chen, Xueqin Ma   +11 more
wiley   +1 more source

Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints. [PDF]

J Sci Comput
Boţ RI, Nguyen DK, Zong C.
europepmc   +1 more source

Optimization of Risk Measures [PDF]

We consider optimization problems involving coherent risk measures. We derive necessary and sufficient conditions of optimality for these problems, and we discuss the nature of the nonanticipativity constraints.
Andrzej Ruszczynski, Alexander Shapiro
core  

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Non-fragile control of switched systems with memory feedback based on convex optimization. [PDF]

Sci Rep
Zhou J, Zhang X.
europepmc   +1 more source

A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform. [PDF]

Sensors (Basel), 2020
You G, Lv Y, Jiang Y, Yi C.
europepmc   +1 more source

A comprehensive view on optimization: reasonable descent [PDF]

Reasonable descent is a novel, transparent approach to a well-established field: the deep methods and applications of the complete analysis of continuous optimization problems.
Brinkhuis, J.
core