Results 71 to 80 of about 645,228 (236)
Decision theory and discrete mathematics
AbstractThis paper discusses recent developments that emphasize the role of discrete mathematics in decision theory. It focuses on three topics which illustrate this role. The first is the transitive simple majorities problem of determining the maximum number of linear orders on n candidates that prevent the occurrence of cyclic majorities when voters'
openaire +1 more source
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia+4 more
wiley +1 more source
Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen+3 more
wiley +1 more source
Optical Chaos Generation and Applications
This review comprehensively examines optical chaos generation via feedback, injection, and optoelectronic methods, emphasizing bandwidth enhancement and time‐delay suppression. Applications include chaos‐synchronized secure communication, physical random number generation, chaotic lidar for cm‐level detection, distributed fiber sensing, and terahertz ...
Wenhui Chen+8 more
wiley +1 more source
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh+11 more
wiley +1 more source
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann+5 more
wiley +1 more source
This work proposes a surface elasticity‐based nonlocal model for analyzing the vibrations of bi‐directionally graded tapered nanobeam. The results demonstrate that, in absence of surface effect, the increasing value of tapered parameter leads to stiffness‐hardening of the nanobeam. However, the consideration of surface effect changes this trend and the
Chinika Dangi, Susmita Naskar
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Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun+2 more
wiley +1 more source
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
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This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro+2 more
wiley +1 more source