Hierarchical Organization of Biomaterials in the Formation of Photonic Nanostructures
Natural organisms create vibrant structural colors through precisely organized nanostructures formed under mild biological conditions. This review explores how cellulose, chitin, corneous beta‐protein, and melanin form complex nanostructures across molecular, mesoscale, and tissue levels.
Sangyeop Kim +5 more
wiley +1 more source
Space‐Charge‐Driven Nonlinear Charge Transport in Silicon Reconfigurable Nonlinear‐Processing Units
Many approaches to AI hardware focus on accelerating linear operations, yet nonlinearity underpins computational expressivity. Reconfigurable nonlinear‐processing units (RNPUs) are promising computational primitives that provide nonlinear transformations directly in hardware.
Jonas Kareem +6 more
wiley +1 more source
Label‐Free Super‐Resolution Imaging Using Non‐Linear Exogenous Photon Avalanche Backlight
Transmission avalanche backlight (TAB) microscopy turns a photon‐avalanching Tm3+:LiYF4 crystal into a nonlinear luminescent backlight. Weak attenuation by a transparent sample is amplified into strong emission modulation: image contrast increases with sample attenuation and avalanche nonlinearity (N), while the effective point spread function narrows ...
S. Karmegam +5 more
wiley +1 more source
The Effect of SNAP Purchasing Power on Diet Quality
ABSTRACT The Supplemental Nutrition Assistance Program (SNAP) benefits millions of eligible low‐income Americans by increasing access to food, helping to reduce food insecurity. Previous studies have documented that the geographical variation in local food prices leads to significant differences in SNAP's purchasing power.
Farah Khan, Augustine Denteh
wiley +1 more source
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source
Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev +9 more
wiley +1 more source
Broyden quasi-Newton secant-type method for solving constrained mixed generalized equations
This paper presents a novel variant of the Broyden quasi-Newton secant-type method aimed at solving constrained mixed generalized equations, which can include functions that are not necessarily differentiable. The proposed method integrates the classical secant approach with techniques inspired by the Conditional Gradient method to handle constraints ...
da Silva, P. C. jun. +2 more
openaire +2 more sources
Shape Sensing, Mapping, and Obstacle Avoidance of the Continuum Manipulator in Confined Environments
An integrated sensing framework combines capacitive sensors, IMU, and laser array sensor. The shape reconstruction is finished by backpropagation neural network. Accurate shape estimation (relative error of 1.04%) is maintained under a 110 g tip load, while a miniaturized VL6180X array enables local environmental reconstruction and reactive obstacle ...
Pengyuan Wang +9 more
wiley +1 more source
Improved New Two-Spectral Conjugate Gradient Iterative Technique for Large Scale Optimization
Numerous strategies have been proposed in the field of unconstrained optimization to address various optimization challenges, particularly those associated with large-scale systems. Among the classical methods, Newton and Quasi-Newton approaches are well-
Radhwan Basem Thanoon +1 more
doaj +1 more source
Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley +1 more source

