Modeling of Relative Humidity Using Artificial Neural Network [PDF]
Samer Alsadi, Tamer Khatib
openalex
Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
Microencapsulation of Beetroot Anthocyanins: Investigation of Degradation Kinetics and Modeling by Using Artificial Neural Networks. [PDF]
Bilenler Koc T +4 more
europepmc +1 more source
Radiation‐Resistant Aluminum Alloy for Space Missions in the Extreme Environment of the Solar System
A novel ultrafine‐grained aluminum crossover alloy exhibits unprecedented radiation resistance and mechanical stability under extreme irradiation doses up to 100 dpa. The exceptional resilience arises from thermodynamically stable T‐phase precipitates, enabling lightweight structural materials for next‐generation spacecraft and extraterrestrial ...
Patrick D. Willenshofer +9 more
wiley +1 more source
Optimization of interdisciplinary competence development methods for university faculty based on artificial neural networks. [PDF]
Yang M, Pang H.
europepmc +1 more source
Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source
Organic Electrochemical Transistors for Neuromorphic Devices and Applications
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang +4 more
wiley +1 more source
Digital and plasmonic artificial neural networks-Improved nonlinear signal processing at high speed and low complexity. [PDF]
Blatter T +11 more
europepmc +1 more source
Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun +4 more
wiley +1 more source
Modeling the Electrochemical Synthesis of Zinc Oxide Nanoparticles Using Artificial Neural Networks. [PDF]
Francik S +5 more
europepmc +1 more source

