Results 271 to 280 of about 83,573 (332)
ABSTRACT Efficient thermal management in advanced industrial systems requires improved heat transfer performance, particularly under non‐Newtonian fluid behavior and complex surface geometries. This study investigates the two‐dimensional flow and heat transfer characteristics of ternary hybrid nanofluids over both stationary and moving wedge surfaces ...
A. O. Akindele +4 more
wiley +1 more source
Ultrafast learning of four-node hybridization cycles in phylogenetic networks using algebraic invariants. [PDF]
Wu Z, Solís-Lemus C.
europepmc +1 more source
Optimized potential of rCB via DOE: recovered carbon black from end‐of‐life tires was assessed as a full substitute for conventional carbon black in IIR composites. DOE and response surface methodology optimized rCB loading, plasticizer, and sulfur contents. Hardness showed linear trends, while rupture energy was nonlinear.
Vinícius Guedes Gobbi +3 more
wiley +1 more source
Some topological genera and Jacobi forms. [PDF]
Amdeberhan T, Griffin MJ, Ono K.
europepmc +1 more source
Metasurfaces and Metadevices for Topological Electromagnetic Waves
Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie +3 more
wiley +1 more source
Resurgence and Riemann-Hilbert Problems for Elliptic Calabi-Yau Threefolds. [PDF]
Bridgeland T, Tulli I.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source

