Results 211 to 220 of about 10,882 (268)
On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley +1 more source
Explainable machine learning model and gene expression programming for predicting reinforced concrete beams moment capacity exposed to fire. [PDF]
Fakharian P +5 more
europepmc +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques. [PDF]
El-Balka RM, Rabie AH, Saleh AI, Sakr N.
europepmc +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Machine Learning Models for Predicting Key Performance Characteristics of High-Temperature THz Quantum Cascade Lasers. [PDF]
Stojković M +8 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
This study establishes [68Ga]Ga‐DOTA‐AP9 as a first‐in‐human CD147‐targeted PET tracer with favorable safety and specific tumor uptake. Tracer accumulation correlates with CD147 expression in patients, enabling noninvasive quantification of CD147‐positive malignancies.
Xiaokun Ma +10 more
wiley +1 more source
Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model. [PDF]
Reddisekhar Reddy SR +5 more
europepmc +1 more source

