Results 41 to 50 of about 780 (210)
We elucidate the key roles of metal p‐d orbital hybridization, excited‐state metal–ligand π‐interactions, and structural rotation in TADF of d10 CMA complexes. Introducing electron‐withdrawing or π‐extended ligand substituents weakens excited‐state metal‐ligand π‐interactions and improves kTADF, but may compromise emitter stability in device operation.
Shuo Xu +5 more
wiley +1 more source
A scalable radiative cooling fabric engineered with a multi‐layer assembly core–shell structure and integrated photoluminescent materials is reported. The fabric exhibits remarkable environmental stability, including UV resistance, mechanical durability, hydrophobicity, stain resistance, thermal stability, and flame retardancy, demonstrating its ...
Hongtao Liu +8 more
wiley +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee +9 more
wiley +1 more source
Grammar-aware test case trimming for efficient hybrid fuzzing
In recent years, hybrid fuzzing has garnered significant attention by combining the benefits of both fuzzing and concolic execution. However, existing hybrid fuzzing techniques face problems such as the performance overhead of concolic execution and low ...
Yiru Zhao, Long Gao, Qihan Wan, Lei Zhao
doaj +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Coverage-guided fuzzing has been widely applied in software error and security vulnerability detection. The fuzzing technique based on AFL (American Fuzzy Loop) is a common coverage-guided fuzzing method.
Chunlai Du +4 more
doaj +1 more source
FIRMCORN: Vulnerability-Oriented Fuzzing of IoT Firmware via Optimized Virtual Execution
The security situation of the Internet of Things (IoT) is particularly severe, and a large number of IoT devices are prone to vulnerabilities. In this study, we present FIRMCORN, the first vulnerability-oriented fuzzer for IoT firmware.
Zhijie Gui +3 more
doaj +1 more source
A fluorinated hydrogen‐bonded organic framework nanocarrier (PFC‐1‐F) loaded with PYR and coated with HACC enables multi‐stimuli‐responsive (enzyme/ROS/pH) release at infection sites. Exhibiting targeted antifungal activity against Sclerotium rolfsii, modulating plant antioxidant defense, and demonstrating favorable biosafety across plant, soil, and ...
Guangming Ma +6 more
wiley +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source

