Results 261 to 270 of about 1,344,372 (340)
Spiking representation learning for associative memories. [PDF]
Ravichandran N, Lansner A, Herman P.
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Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems
This review presents a comprehensive analysis of cutting‐edge sensing technologies and strategies for early detection and warning of thermal runaway in lithium‐ion battery energy storage systems. It discusses the factors inducing thermal runaway, the evolution mechanism, and the detectable characteristic signals, along with advancements in ...
Duzhao Han+3 more
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Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information. [PDF]
Rostami V+5 more
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The measured infrared spectrum of lithium‐sodium orthoborate ((Li0.5Na0.5)3BO3) is shown by first principle calculations to be made up of contributions originating from the mixed alkali‐metal orthoborate Li5Na4B3O9, pyroborate Li2Na2B2O5 and carbonate LiNaCO3, showcasing the important effect of carbon dioxide absorption on the structural make‐up of the
David Unnervik, Takuya Harada
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Bayesian polynomial neural networks and polynomial neural ordinary differential equations. [PDF]
Fronk C, Yun J, Singh P, Petzold L.
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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
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Editorial: Reviews and perspectives in neuromorphic engineering: novel neuromorphic computing approaches. [PDF]
Gentili PL+3 more
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This study analyses the electronic structure of five‐electron spherical quantum dots with penetrable confinement potential. Spatial confinement and the influence of potential barrier height give rise to the unique properties of quantum dots. These effects lead to profound changes in their energy spectra and optical properties which play a key role in ...
Yusuf Yakar, Bekir Çakır, Ayhan Özmen
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Constructing neural networks with pre-specified dynamics. [PDF]
Mininni CJ, Zanutto BS.
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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