Here we complete our work on the asymptotics of Hankel determinants studying the case wherein the entries are “ultrarapidly”-varying functions in the sense that their logarithms are rapidly varying. Moreover, the la...
A wide range of technological and industrial domains,including heating processors,electrical systems,mechanical systems,and others,are facing issues as a result of the recent developments in heat transmission.Nanoflui...
The rich literature concerning “asymptotic behavior of Hankel determinants” concerns the behavior, as the order n tends to ∞, of Hankel determinants whose entries are numbers, e.g., with a combinatorial interest or...
Supported by the National Natural Science Foundation of China(Grant No.11661043);the Foundation of Education Department of Jiangxi Province(Grant No.GJJ2200320)。
In this paper,we derive a Hamilton-Souplet-Zhang type gradient estimate for exponentially harmonic type heat equation on Riemannian manifolds.As its application,we obtain a Liouville type theorem.
In this study,the characteristics of heat transfer on an unsteady magnetohydrodynamic(MHD)Casson nanofluid over an exponentially accelerated vertical porous plate with rotating effects were investigated.The flow was d...
part supported by the NSF Grants DMS-1912654 and DMS 2205590。
We provide a concise review of the exponentially convergent multiscale finite element method(ExpMsFEM)for efficient model reduction of PDEs in heterogeneous media without scale separation and in high-frequency wave pr...
With the increasing advances in bioanalytical chemistry,nanotechnology has become an important tool and key technology for improving the understanding of fundamental chemistry and biology fields.The ratio of surface a...
Quantum entanglement is crucial not only for fundamental physics but also for various applications^([1]),ranging from quantum communication and quantum computation to quantum metrology.Its distribution over long-dista...
the Fundamental Res-earch Funds for the Central Universities(no.YJS2205 and no.JB180307);the Innovation Fund of Xidian University(no.YJS2205);the Natural Science Foundation of China(no.62072353 and no.61922020);the China Postdoctoral Science Founda-tion(no.2022T150095);the Sichuan Provincial Science Fund for Distinguished Young Scholars(2021JDJQ0025);the Special Science Foundation of Quzhou(2021D004)。
With the rapid development of biotechnology,the number of biological sequences has grown exponentially.The continuous expansion of biological sequence data promotes the application of machine learning in biological se...