Results 221 to 230 of about 1,008,318 (283)

Artificial neural network prediction of nonlinear radiative heat transfer and entropy generation in tangent hyperbolic tetra hybrid nanofluid flow over a porous wedge. [PDF]

Discov Nano
Krishnan D, Durgaprasad P.
europepmc   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Integral Betti signatures of brain, climate and financial networks compared to hyperbolic, Euclidean and spherical models. [PDF]

Sci Rep
Caputi L, Pidnebesna A, Hlinka J.
europepmc   +1 more source

MHD Maxwell Hybrid Nanofluid Transport Featuring Solar Radiation and Thermo‐Diffusive Impacts Over a Permeable Slanted Stretching Sheet

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Hybrid nanofluids have emerged as next‐generation working fluids for advanced engineering application due to their superior heat transport capability in relation to the conventional nanofluids. Motivated by the rising demand for accurate prediction of transport phenomena under realistic operating situations, the present study examines the ...
B. Prabhakar Reddy, Swatmaram, Jumanne Mng'ang'a, Jason M. Mkenyeleye   +3 more
wiley   +1 more source

Data-driven reduced modeling of neural dynamics. [PDF]

Nat Commun
Marraffa A, Krause R, Mante V, Haller G.
europepmc   +1 more source

Pure Inverse Spin Hall Effect in Ferromagnetic Ni80Fe20/Y3Fe5O12 (YIG) Heterostructures via the Longitudinal Spin Seebeck Effect

Advanced Physics Research, EarlyView.
A pure inverse spin Hall effect (ISHE) is demonstrated in ferromagnetic Ni₈₀Fe2₀/YIG heterostructures via the longitudinal spin Seebeck effect. By employing symmetry‐controlled geometries and reference samples, anomalous Nernst contributions are quantitatively eliminated, revealing intrinsic spin–charge conversion in Ni₈₀Fe2₀.
Hyeon‐Jin Lee, Na‐Rim Park, Eun‐Seong Cho, Seong‐Joon Won, Kyu‐Ho Moon, Yun‐Ho Kim, Sang‐Kwon Lee   +6 more
wiley   +1 more source

Hyperbolic topological data analysis mapper reveals dynamic trait-environment patterns in plant phenomics. [PDF]

Plant Phenomics
Zdražil J, Kong L, Spíchal L, Snášel V, De Diego N.   +4 more
europepmc   +1 more source

Advanced Mathematical Extensions of Data Field Theory: Hyperbolic Geometry, Gauge Theory, and Higher Structures

Advanced Physics Research, EarlyView.
This graphical abstract illustrates the unified framework of Data Field Theory (DFT), integrating hyperbolic geometry for hierarchical embedding, gauge theory for internal symmetries, renormalization group for multi‐scale dynamics, Lévy processes for heavy‐tailed fluctuations, noncommutative geometry for quantum‐inspired cognition, and higher ...
Mohammadreza Nehzati
wiley   +1 more source

Statistical shape modeling of the human inner ear through micro‐computed tomography imaging

The Anatomical Record, EarlyView.
In this study, 54 cadaveric temporal bone specimens underwent high‐resolution micro‐CT imaging. Images were semi‐automatically segmented and converted to 3D surface mesh models for morphological measurement and analysis. Statistical shape models were created for the inner ear, cochlea, and vestibular system, as well as for sex‐ and side‐based subgroups.
Carmine Spedaliere, Alexandra Vaupotic, Jaehyun Hwang, Khalil Husein, Mustafa Hafidh, Kyle Rioux, S. Alireza Rohani, Sumit K. Agrawal, Hanif M. Ladak   +8 more
wiley   +1 more source

Tuning Anisotropic Optical Properties of Inorganic and Hybrid Organic-Inorganic MXenes via Topochemical Surface Modification. [PDF]

Nano Lett
Kim YH, Fang H, Noh H, Md Shawon AR, Han S, Intriago D, Zhang T, Cavanagh AE, Akbar GMHH, Lagunas F, Gogotsi Y, Vojvodic A, Rossini AJ, Fakhraai Z, Talapin DV.   +14 more
europepmc   +1 more source