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Showing 20 of 227 academic articles

Tunable Piezophotonic Effect on Core-Shell Nanoparticles Prepared by Laser Ablation in Liquids under External Voltage

A. K. Kodeary, S. M. Hamidi • Journal of Nanotechnology (2019)

We report an experimental study on the piezophotonic effect of gold and lead zirconate titanate (PbZrTiO3) nanoparticles (NPs) and also their core-shell nanostructures prepared by the laser ablation in liquid method. To obtain these NPs and...

DOAJ Open Access (DOAJ) DOI: 10.1155/2019/6046079

Simulation Study on Mechanical Characteristics of Rock Bolt in Rock Mass with Bedding Separation Based on the Nonlinear Bond Slip Relationship

Ning Li, Zhigang Du, Fuqiang Gao, Fuzhou Qi et al. • Geofluids (2022)

The mechanical equation on the mechanical characteristics of rock bolt in rock mass with bedding separation is established, based on the bond slip relationship of anchoring interface by the load transfer method. The validity of the numerica...

DOAJ Open Access (DOAJ) DOI: 10.1155/2022/5279884

Voltage Stability and Power Sharing Control of Distributed Generation Units in DC Microgrids

Kafeel Ahmed, Irfan Hussain, Mehdi Seyedmahmoudian, Alex Stojcevski et al. • Energies (2023)

Advancements in power conversion efficiency and the growing prevalence of DC loads worldwide have underscored the importance of DC microgrids in modern energy systems. Addressing the challenges of power-sharing and voltage stability in thes...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16207038

Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long et al. • Science and Technology of Nuclear Installations (2017)

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plan...

DOAJ Open Access (DOAJ) DOI: 10.1155/2017/3721578

Period of Arrhythmia Anchored around an Infarction Scar in an Anatomical Model of the Human Ventricles

Daria Mangileva, Pavel Konovalov, Arsenii Dokuchaev, Olga Solovyova et al. • Mathematics (2021)

Rotating nonlinear waves of excitation in the heart cause dangerous cardiac arrhythmias. Frequently, ventricular arrhythmias occur as a result of myocardial infarction and are associated with rotation of the waves around a post-infarction s...

DOAJ Open Access (DOAJ) DOI: 10.3390/math9222911

Semimetallization induced Hall anomaly in doped polymers

Zean Guo, Jiawei Wang, Mengmeng Li, Yawei Lv et al. • Physical Review Research (2024)

Hall anomaly related to deviations in Hall carrier concentrations have always been recognized as signs of charge incoherence in organic semiconductors, which lack ordered lattices. In this paper, we show that the Hall carrier concentration ...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.6.043180

Microstructure-based variational deep material networks for robust uncertainty quantification in materials digital twins

Andreas E. Robertson, Samuel B. Inman, Ashley T. Lenau, Ricardo A. Lebensohn et al. • npj Computational Materials (2026)

Abstract Aleatoric uncertainties – irremovable variability in microstructure morphology, constituent behavior, and processing conditions – pose a major challenge to developing uncertainty-robust digital twins. We introduce the Variational D...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-026-02054-5

A Deep Backtracking Bare‐Bones Particle Swarm Optimisation Algorithm for High‐Dimensional Nonlinear Functions

Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology (2025)

ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.70028

Explainable hybrid deep learning framework for air quality index prediction in Indian cities

Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence (2026)

Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02131-0

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

Design and Implementation of a Ball-Plate Control System and Python Script for Educational Purposes in STEM Technologies

Vladimir Tudić, Damir Kralj, Josip Hoster, Tomislav Tropčić • Sensors (2022)

This paper presents the process of designing, fabricating, assembling, programming and optimizing a prototype nonlinear mechatronic Ball-Plate System (BPS) as a laboratory platform for engineering education STEM. Due to the nonlinearity and...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22051875

Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics

F. Cadini, E. Zio, N. Pedroni • Science and Technology of Nuclear Installations (2008)

Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control appli...

DOAJ Open Access (DOAJ) DOI: 10.1155/2008/681890