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Research on the Configuration of a 100% Green Electricity Supplied Zero-Carbon Integrated Energy Station

Jieyu Xie, Xingying Chen, Kun Yu, Lei Gan et al. • Energies (2024)

In the context of rapid growth in renewable energy installations and increasingly severe consumption issues, this paper designs a 100% green electricity supplied zero-carbon integrated energy station. It aims to analyze its configuration fo...

DOAJ Open Access (DOAJ) DOI: 10.3390/en17164111

Brassica carinata biomass, yield, and seed chemical composition response to nitrogen rates and timing on southern Coastal Plain soils in the United States

Mahesh Bashyal, Michael J. Mulvaney, Dewey Lee, Chris Wilson et al. • GCB Bioenergy (2021)

Abstract Brassica carinata (carinata), a non‐food oilseed feedstock mainly used for biofuel, is a relatively new alternative winter crop in the southeastern (SE) United States (US). However, there are limited N rate and N application timing...

DOAJ Open Access (DOAJ) DOI: 10.1111/gcbb.12846

The role of renewable energy in the global energy transformation

Dolf J. Gielen, Francisco Boshell, Değer Saygin, Morgan Bazilian et al. • Energy Strategy Reviews (2019)

This paper explores the technical and economic characteristics of an accelerated energy transition to 2050, using new datasets for renewable energy. The analysis indicates that energy efficiency and renewable energy technologies are the cor...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.esr.2019.01.006

Renewable energy, non-renewable energy and sustainable development

Taner Güney • International Journal of Sustainable Development & World Ecology (2019)

The purpose of the present study is to analyse the effects of renewable energy and non-renewable energy on sustainable development. This study is pioneering in this respect because it analyses the effect of renewable energy on adjusted net ...

OPENALEX Open Access DOI: https://doi.org/10.1080/13504509.2019.1595214

Mobile App Prototype in Older Adults for Postfracture Acute Pain Management: User-Centered Design Approach

Kevin Tran-Nguyen, Caroline Berger, Roxanne Bennett, Michelle Wall et al. • JMIR Aging (2022)

BackgroundPostfracture acute pain is often inadequately managed in older adults. Mobile health (mHealth) technologies can offer opportunities for self-management of pain; however, insufficient apps exist for acute pain management after a fr...

DOAJ Open Access (DOAJ) DOI: 10.2196/37772

Sensitivity and Features of Computed Tomography in Diagnosis of COVID-19 Pneumonia: A Meta-analysis

Awadia Gareeballah, Moawia Gameraddin, Sultan Abdulwadoud Alshoabi, Lubna Bushara et al. • Journal of Clinical and Diagnostic Research (2021)

Introduction: Early diagnosis of COVID-19 is important for disease treatment and management. Computed Tomography (CT) is a fast and easy modality for diagnosis and management plan of patients with COVID-19. In the literature, several stu...

DOAJ Open Access (DOAJ) DOI: 10.7860/JCDR/2021/47449.14570

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith T. Butler • Accounts of Materials Research (2022)

High Resolution Image Download MS PowerPoint Slide Conspectus Machine learning has become a common and powerful tool in materials research. As more data become available, with the use of high-performance computing and high-throughput experi...

OPENALEX cc-by DOI: https://doi.org/10.1021/accountsmr.1c00244

Materials Science

(2025)

Materials science has always occupied an extremely high position in the human development process. As we explore the oceans of stars, various industries have put forward more stringent requirements for the performance of materials, forcing ...

OPENALEX DOI: https://doi.org/10.5772/intechopen.1002828

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-#

Cyclic order superpositions enable quantum information transmission through completely depolarizing channels

Yaxin Wang, Linxiang Zhou, Tianfeng Feng, Hanlin Nie et al. • Communications Physics (2026)

Abstract Noise fundamentally limits quantum communication capacity, completely preventing information transmission in fully depolarizing environments. While indefinite causal order theoretically circumvents this limitation, experimentally r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s42005-026-02698-1

An introduction to Bayesian simulation-based inference for quantum machine learning with examples

Ivana Nikoloska, Osvaldo Simeone • Frontiers in Quantum Science and Technology (2024)

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...

DOAJ Open Access (DOAJ) DOI: 10.3389/frqst.2024.1394533

ℤ<sub>2</sub> × ℤ<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano et al. • Axioms (2024)

This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Ne...

DOAJ Open Access (DOAJ) DOI: 10.3390/axioms13030188

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

Blind spots of randomized benchmarking under temporal correlations

Varun Srivastava, Abhinash Kumar Roy, Soumik Mahanti, Jasleen Kaur et al. • Physical Review Research (2026)

Randomized benchmarking (RB) is a widely adopted protocol for estimating the average gate fidelity in quantum hardware. However, its standard formulation relies on the assumption of temporally uncorrelated noise, an assumption often violate...

DOAJ Open Access (DOAJ) DOI: 10.1103/r1z5-ycqc

Coalition of explainable artificial intelligence and quantum computing in precision medicine

Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal (2025)

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csbj.2025.11.031

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