Designing Highly Precise Overlay Targets for Asymmetric Sidewall Structures Using Quasi-Periodic Line Widths and Finite-Difference Time-Domain Simulation. [PDF]
Sensors (Basel), 2023 Hsieh HC, Wu MR, Huang XT.
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A Study on the Accuracy of Central Difference and Finite Element Techniques for Solving Elliptic Partial Differential Equations [PDF]
Saritha Sambu
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Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light
Advanced Functional Materials, EarlyView.A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid +13 more
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Solving Allen-Cahn equations with periodic and nonperiodic boundary conditions using mimetic finite-difference operators. [PDF]
Appl Math ComputOrizaga S +3 more
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Accelerated nonstandard finite difference method for singularly perturbed Burger-Huxley equations. [PDF]
BMC Res Notes, 2021 Kabeto MJ, Duressa GF.
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GeAl2‐2xFe2xO3(OH)4 Nanotubes: New Electrocatalyst for Oxygen Evolution Reaction
Advanced Functional Materials, EarlyView.Fe‐doped imogolite nanotubes are synthesized via a one‐step hydrothermal method with varying Fe substitution ratios x. Structural and spectroscopic analyses confirm homogeneous Fe incorporation while preserving tubular shape. Optimal doping at x = 0.05 enhances optical absorption, narrows band gap, reduces charge transfer resistance, and significantly ...
Yassine Naciri +12 more
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Parameter uniform finite difference formulation with oscillation free for solving singularly perturbed delay parabolic differential equation via exponential spline. [PDF]
BMC Res NotesHassen ZI, Duressa GF.
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A Fourth-Order Compact Finite Difference Scheme for Solving the Time Fractional Carbon Nanotubes Model. [PDF]
ScientificWorldJournal, 2022 Sweilam NH +3 more
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Finite differences are essential for approximating derivatives and solving numerical problems in calculus, particularly in interpolation and differential equations. This chapter outlines three fundamental types: forward, backward, and central differences, each with its respective operators and formulas.
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