Results 231 to 240 of about 44,082 (308)

Transverse Mode Instability in High-Power Yb-Doped Double-Clad Fiber Amplifiers: A Three-Layer Optical-Thermal Analysis Based on Stimulated Thermal Rayleigh Scattering. [PDF]

Micromachines (Basel)
Cardoso ES, Samad RE, Motta CC.
europepmc   +1 more source

Record Performance in Vertically Stacked, Solution‐Processed ZTO Schottky Diodes

Advanced Materials Technologies, EarlyView.
Schottky diodes based on solution processed sustainable zinc—tin–oxide thin films present an eco‐friendly and versatile alternative to conventional CMOS based technologies. Beyond state‐of‐the‐art performance for vertically stacked solution‐based oxide diodes was achieved, including rectification ratios exceeding nine orders of magnitude, and intrinsic
Carlos Silva, Asal Kiazadeh, Raquel Azevedo Martins, António Dias, Jorge Martins, Luís Mendes, João Vaz, Rodrigo Martins, Elvira Fortunato, Emanuel Carlos, Jonas Deuermeier   +10 more
wiley   +1 more source

A novel shifted Vieta-Lucas spectral collocation approach for multidimensional generalized Benjamin-Bona-Mahony-Burgers equations. [PDF]

Sci Rep
Hafez RM, Ahmed HM, Alburaikan A, Alrajeh MAA, Khalifa HAE.   +4 more
europepmc   +1 more source

Highly Anisotropic Quasi‐Direct Organic Metal Halide Hybrids: A Platform for Polarization‐Sensitive Optoelectronics

Advanced Materials Technologies, EarlyView.
One‐dimensional C4N2H14PbBr4 is shown to have a quasi‐direct electronic band structure and strongly anisotropic transport with polarized broadband emission. A GW/Bethe–Salpeter excited‐state force formalism, supported by polarized Raman and temperature‐dependent photoluminescence, identifies low–frequency Pb–Br phonons that drive ultrafast exciton self‐
Rijan Karkee, Rafael R. Del Grande, Yeonjoo Lee, Jinkyoung Yoo, Azza Ben‐Akacha, Biwu Ma, Michael T. Pettes, David A. Strubbe   +7 more
wiley   +1 more source

Compatibility of the evolution equation for heat flux in dual-phase-lag and three-phase-lag with the principles of thermodynamics. [PDF]

Sci Rep
Fawzy A, Mahmoud W, Rawy EK, Ghaleb AF.
europepmc   +1 more source

A Pressure Microsensor Made of Parylene‐C for Use as Medical Implant

Advanced Materials Technologies, EarlyView.
A monolithic parylene‐C pressure sensor with gold strain gauges provides 6.2 μV$\mu{\rm V}$·mmHg$\cdot{\rm mmHg}$−1$^{-1}$ sensitivity. The morphology of a sputtered thin film strain sensor is granular/columnar, which results in a high gauge factor of 7.5. Thermal bonding and parylene‐C coating create a hermetic cavity.
Ann‐Kathrin Klein, Victor Krajka, Andreas Dietzel   +2 more
wiley   +1 more source

Dynamical behavior of analytic solutions of the generalized derivative nonlinear Schrödinger equation under stochastic perturbations in fiber communication systems. [PDF]

Sci Rep
Murad MAS, Abdullah AR, Mustafa MA, Hussain E.   +3 more
europepmc   +1 more source

Tunable Extraordinary Optical Transmission in the Long‐Wavelength Infrared Range Using Electrostatic MEMS Actuation

Advanced Materials Technologies, EarlyView.
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik, Fedor Kovalev, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Ilya Shadrivov, Mariusz Martyniuk   +6 more
wiley   +1 more source

Innovative solutions for lossy nonlinear transmission lines model using a modified extended mapping approach with fractional effects. [PDF]

Sci Rep
Hussein HH, Alexan W, Kandil SA.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source