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Reactive Power Optimization Control for Renewable Energy in Distribution Networks Considering Active Power Uncertainties

Jingzhong ZHANG, Fei MENG, Yang SUN, Huixia YU • Zhongguo dianli (2024)

A dual-layer robust optimization control method based on the droop principle of reactive power and voltage is proposed for renewable energy in distribution networks, considering active power uncertainties. First, in the reference-point opti...

DOAJ Open Access (DOAJ) DOI: 10.11930/j.issn.1004-9649.202310053

A design method for booster motor of brake-by-wire system based on intelligent electric vehicle

Bumin Meng, Zhengzhao Zhou, Congyue Zhang, Feifan Yang • Green Energy and Intelligent Transportation (2023)

ABSTRACT: The brake-by-wire (BBW) system is an essential part of the intelligent electric vehicle, which is determination of the braking safety and recovery efficiency. To design a safe and efficient booster motor, the design of booster mot...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.geits.2023.100110

Combinatorial Materials Science and Catalysis

Bernd Jandeleit, Dieter J. Schaefer, Timothy S. Powers, Howard W. Turner et al. • Angewandte Chemie International Edition (1999)

After forever changing the drug discovery process in the pharmaceutical industry, combinatorial chemistry methodologies are increasingly being applied to the discovery and optimization of more efficient catalysts and materials (see picture)...

OPENALEX DOI: https://doi.org/10.1002/(sici)1521-3773(19990903)38:17<2494::aid-anie2494>3.0.co;2-#

Achieving high thermal conductivity of Al–50Si alloy through heat treatment and its microstructural evolution

Chao Ding, Huali Hao, Rui Ma, Changqing Ye et al. • Journal of Materials Research and Technology (2023)

Al–50Si alloys were prepared by powder extrusion and characterized for electronic packaging. The optimization of powder size, extrusion temperature, and heat treatment parameters was performed to enhance the microstructure and thermo-physic...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jmrt.2023.11.038

OPTIMIZATION OF HOT AIR SOLDER LEVELING (HASL) MACHINE FOR A ROBUST SURFACE FINISH IN SOLDERING APPLICATIONS

Mohd Izrul Izwan RAMLI, Siti Farahnabilah MUHD AMLI, Norainiza SAUD, Dewi Suriyani CHE HALIN et al. • European Journal of Materials Science and Engineering (2023)

Hot Air Solder Leveling (HASL) is one of the most commonly used surface finishes in the industry. HASL is also one of the least expensive types of PCB surface finishes available. This study aims to examine the influence on the solder joint ...

DOAJ Open Access (DOAJ) DOI: 10.36868/ejmse.2023.08.01.030

Expressibility and trainability of parametrized analog quantum systems for machine learning applications

Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde et al. • Physical Review Research (2020)

Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex dis...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.2.043364

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology (2024)

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ad9705

Framework for Implementing Quantum Neural Networks in Wireless Communications

Salik Siddiqui, Justin Holzer, Joshua Malcarne, Galahad M. B. Wernsing et al. • IEEE Access (2025)

While quantum computing is already being employed in different domains to solve large scale and highly complex optimization problems, the wireless communications community has only recently begun exploring the potential of Quantum Machine L...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3572416

Quantum computing with neutral atoms

Loïc Henriet, Lucas Béguin, Adrien Signoles, Thierry Lahaye et al. • Quantum (2020)

The manipulation of neutral atoms by light is at the heart of countless scientific discoveries in the field of quantum physics in the last three decades. The level of control that has been achieved at the single particle level within arrays...

OPENALEX cc-by DOI: https://doi.org/10.22331/q-2020-09-21-327

A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT

Siavash Siavashian Rashidi, Ali Broumandnia, Abbas Mirzaei, Ramin Karimi • Scientific Reports (2026)

Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-55177-6

mRNA codon optimization with quantum computers.

Dillion M Fox, Kim M Branson, Ross C Walker • PLoS ONE (2021)

Reverse translation of polypeptide sequences to expressible mRNA constructs is a NP-hard combinatorial optimization problem. Each amino acid in the protein sequence can be represented by as many as six codons, and the process of selecting t...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0259101

Dynamics of superconducting qubit relaxation times

M. Carroll, S. Rosenblatt, P. Jurcevic, I. Lauer et al. • npj Quantum Information (2022)

Abstract Superconducting qubits are a leading candidate for quantum computing but display temporal fluctuations in their energy relaxation times T 1. This introduces instabilities in multi-qubit device performance. Furthermore, autocorrelat...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41534-022-00643-y

Quantum Computing for Healthcare: A Review

Raihan Ur Rasool, Hafiz Farooq Ahmad, Wajid Rafique, Adnan Qayyum et al. • Future Internet (2023)

In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ways, leading to ...

OPENALEX cc-by DOI: https://doi.org/10.3390/fi15030094

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches

Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque et al. • Scientific Reports (2025)

Abstract This paper introduces the design and exploration of a compact, high-performance multiple-input multiple-output (MIMO) antenna for 6G applications operating in the terahertz (THz) frequency range. Leveraging a meta learner-based sta...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-88174-2

Identification of Different Types of High-Frequency Defects in Superconducting Qubits

Leonid V. Abdurakhimov, Imran Mahboob, Hiraku Toida, Kosuke Kakuyanagi et al. • PRX Quantum (2022)

Parasitic two-level-system (TLS) defects are one of the major factors limiting the coherence times of superconducting qubits. Although there has been significant progress in characterizing basic parameters of TLS defects, exact mechanisms o...

DOAJ Open Access (DOAJ) DOI: 10.1103/PRXQuantum.3.040332

Multi-regional energy sharing approach for shared energy storage and local renewable energy resources considering efficiency optimization

Wenyang Deng, Dongliang Xiao, Mingli Chen, Muhammad Faizan Tahir et al. • International Journal of Electrical Power & Energy Systems (2025)

As distributed photovoltaic and shared energy storage systems expanded on the user side, developing an energy-sharing mechanism across different regions became crucial for fully utilizing local renewable energy resources and maximizing the ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijepes.2025.110592