Article
Chemistry, Physical
Qusay Hassan, Aws Zuhair Sameen, Hayder M. Salman, Marek Jaszczur
Summary: The study compares wind and solar solutions for large-scale production of green hydrogen, providing a precise technique and standardization for performance assessment. The findings show that the optimum electrolyser capacity can match the energy produced by the wind turbine power plant and solar photovoltaics power plant.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Environmental Sciences
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi-Ivatloo, Antonio Pedro Aguiar, Amjad Anvari-Moghaddam, Zulkurnain Abdul-Malek
Summary: This study proposes a global solar radiation forecasting approach based on federated learning and convolutional neural network, which accurately predicts solar irradiance and protects data privacy. The results show that this method performs well in solar radiation prediction in different regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Review
Chemistry, Physical
Zhongxiao Li, Shi Fang, Haiding Sun, Ren-Jei Chung, Xiaosheng Fang, Jr-Hau He
Summary: Hydrogen, a zero-pollution, sustainable, low-cost, and high-efficiency energy source, has great potential for the 21st century. Solar water-splitting techniques, such as photovoltaic-electrolysis (PV-EC) and photoelectrochemistry (PEC), have shown promise with solar-to-hydrogen conversion efficiency over 10%. However, there is a gap between laboratory research and practical application, which can be addressed by understanding the basic principles, historical developments, and performing comprehensive techno-economic analysis.
ADVANCED ENERGY MATERIALS
(2023)
Article
Engineering, Environmental
Xavier Fonoll Almansa, Renata Starostka, Lutgarde Raskin, Grietje Zeeman, Francis de los Reyes III, Julie Waechter, Daniel Yeh, Tanja Radu
Summary: This article provides an overview of frequently used anaerobic digestion systems in the field of sanitation, with a focus on decentralized communities and low- and lower-middle-income countries. The technologies that consider pathogen inactivation during the design process are emphasized. The challenges to the use of anaerobic digestion are identified, and the accelerators for its implementation are discussed.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Wei Liu, Run Xu, Weifeng Pan, Chao Li, Niu Huang, Yingping Huang, Liqun Ye
Summary: In this study, resorcinol formaldehyde (RF) was introduced for photothermal catalytic generation of H2O2, achieving a photosynthetic yield of approximately 2000 mu m within 40 min under solar irradiation. The solar-to-chemical conversion (SCC) efficiency reached up to 0.19% at 338 K, surpassing photocatalysis with a cooling system by a factor of about 2.5. The H2O2 generated by RF during the photothermal process was formed through a two-channel pathway, promoting overall H2O2 formation and enabling its usage for pollutant removal. This work provides a sustainable and economical route for efficient H2O2 synthesis.
Article
Chemistry, Multidisciplinary
Pooja J. Ayare, Noelle Watson, Maizie R. Helton, Matthew J. Warner, Tristan Dilbeck, Kenneth Hanson, Aaron K. Vannucci
Summary: This research demonstrates the photocatalytic synthesis of H2 using a multiphoton mechanism, where both a molecular photocatalyst and a substituted naphthol are excited in the presence of a sacrificial electron donor and proton source. The unique use of a naphthol molecule as both a light absorber and H2 producing catalyst offers a new paradigm for the production of solar fuels in uphill reactions.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
Review
Green & Sustainable Science & Technology
V. Preethi
Summary: The utilization of solar energy for the production of clean energy H-2 offers significant economic and environmental benefits for India.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Energy & Fuels
Wanrong Wang, Yingjie Ma, Azadeh Maroufmashat, Nan Zhang, Jie Li, Xin Xiao
Summary: This study focuses on hydrogen production using solar thermal chemistry, utilizing optimization design and machine learning techniques to reduce production costs and CO2 emissions, resulting in a reduction of around 17.2% in the cost of hydrogen production.
Article
Environmental Sciences
Kayla Garrett, Ryan A. McManamay, Jida Wang
Summary: Transitioning to renewable energy sources requires minimizing environmental impacts of new dam construction, while maximizing benefits of hydropower through upgrading existing infrastructure. This approach could potentially increase global hydropower capacity by up to 9%, offsetting biodiversity impacts and reducing construction and transmission costs.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Quantum Science & Technology
Kaizhao Wang, Jing-Fan Yu, Pengfei Wang, Chunyang Luan, Jing-Ning Zhang, Kihwan Kim
Summary: This study proposes and investigates methods to speed up entangling operations in a trapped ions system with high fidelity. Firstly, a scheme to increase the speed of a two-qubit gate without being limited by the trap frequency is found. Secondly, a fast gate scheme for entangling more than two qubits simultaneously is studied, using the method of applying multiple frequency components on laser beams. Moreover, the effect of large excitation of motional mode beyond the limit of Lamb-Dicke approximation is carefully studied.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Mu Xiao, Zhiliang Wang, Kazuhiko Maeda, Gang Liu, Lianzhou Wang
Summary: The efficiency and stability of photo(electro)catalytic devices are crucial for practical solar fuel production. While significant progress has been made in improving the efficiency of photocatalysts/photoelectrodes, their durability remains a major challenge. A systematic process for stability evaluation of photocatalysts/photoelectrodes is proposed, advocating the use of standard operational conditions and reporting stability results with run time, operational stability, and material stability. A widely adopted standardization for stability assessment would enable reliable comparison of results from different labs. Understanding the deactivation mechanisms is essential for designing efficient and stable photocatalysts/photoelectrodes and advancing solar fuel production.
Article
Thermodynamics
Hongsheng Wang, Bingzheng Wang, Xingyu Qi, Jian Wang, Rufan Yang, Duanxing Li, Xuejiao Hu
Summary: Efficient NO-MDA system via HPM reactor is feasible, achieving high conversion rate and thermodynamic efficiency.
Article
Chemistry, Multidisciplinary
Lisa Pokrajac, Ali Abbas, Wojciech Chrzanowski, Goretty M. Dias, Benjamin J. Eggleton, Steven Maguire, Elicia Maine, Timothy Malloy, Jatin Nathwani, Linda Nazar, Adrienne Sips, Jun'ichi Sone, Albert van den Berg, Paul S. Weiss, Sushanta Mitra
Summary: In summary, nanotechnology can contribute to the achievement of Sustainable Development Goals through technological innovation and interdisciplinary approaches, accelerating progress both in individual countries and globally. Various nations are actively working towards these goals by targeting solutions, technology translation, and promoting a circular economy.
Article
Energy & Fuels
Romeo Victor Ionescu, Monica Laura Zlati, Valentin Marian Antohi, Silvius Stanciu
Summary: The paper focuses on the impact of the global crisis on the European oil industry and aims to quantify the developments and risks faced by this industry through a model. The research results can assist decision-makers in making informed decisions regarding green energy and reducing polluting fuels.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2022)
Article
Management
Mark Pagell
Summary: While replication studies remain rare in the field of Operations and Supply Chain Management, the author encourages more replication while acknowledging that they will likely continue to be uncommon. It is suggested that addressing the replication crisis in OSCM can be achieved through systematic theory testing and refining research, which takes into consideration researchers' and journals' incentives to publish new knowledge. This would lead to stronger claims about the veracity of theories, facts, and predictions in the field.
JOURNAL OF OPERATIONS MANAGEMENT
(2021)
Correction
Multidisciplinary Sciences
Mohsen Dorraki, Andrew Allison, Derek Abbott
SCIENTIFIC REPORTS
(2020)
Review
Medicine, General & Internal
Manish Hosanee, Gabriel Chan, Kaylie Welykholowa, Rachel Cooper, Panayiotis A. Kyriacou, Dingchang Zheng, John Allen, Derek Abbott, Carlo Menon, Nigel H. Lovell, Newton Howard, Wee-Shian Chan, Kenneth Lim, Richard Fletcher, Rabab Ward, Mohamed Elgendi
JOURNAL OF CLINICAL MEDICINE
(2020)
Correction
Chemistry, Physical
M. S. Islam, J. Sultana, M. Biabanifard, Z. Vafapour, M. J. Nine, A. Dinovitser, C. M. B. Cordeiro, B. W. -H. Ng, D. Abbott
Article
Acoustics
Xiaowei Huang, Lili Niu, Long Meng, Zhengrong Lin, Wei Zhou, Xiufang Liu, Jiqing Huang, Derek Abbott, Hairong Zheng
Summary: Autophagy, the process of cellular self-digestion, plays a crucial role in eliminating abnormal proteins in mammalian cells. Studies have shown that low-intensity pulsed ultrasound (LIPUS) stimulation can enhance neuronal autophagy, indicating its potential as a safe and effective tool for activating autophagy in neurons.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Multidisciplinary Sciences
Yan Pan, Fabing Duan, Francois Chapeau-Blondeau, Liyan Xu, Derek Abbott
Summary: VR intentionally introduces high-frequency periodic vibrations to nonlinear systems to enhance efficiency in information processing tasks. Unlike stochastic resonance which adds random noise, VR is advantageous due to its ease of implementation and provides valuable insights for nonlinear signal processing through detailed modalities still under investigation. By injecting a range of high-frequency sinusoidal vibrations of the same amplitude at different frequencies, VR can enhance efficiency in estimating unknown signal parameters or detecting weak signals in noise. Additionally, the ability to consider high-frequency vibrations with differing frequencies as independent random variables at sampling times allows for probabilistic analysis similar to stochastic resonance, providing a theoretical basis for optimizing the VR effect in signal processing.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Jakeya Sultana, Md Saiful Islam, Md Selim Habib, Ma Yank Kaushik, Alex Dinovitser, Brian W-H Ng, Derek Abbott
Summary: A major challenge in nonlinear optics is maximizing interaction between laser sources and low-density media. Ultrafast laser beams with short pulse width and high peak power are essential for efficient nonlinear optical sensors.
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2021)
Article
Physics, Multidisciplinary
Xiaojie Liu, Lingling Duan, Fabing Duan, Francois Chapeau-Blondeau, Derek Abbott
Summary: In this study, a method of using added noise to smooth hard-threshold nonlinearities is proposed, enabling neural networks to achieve differentiability while maintaining simplicity and low-cost implementation, optimizing the learning process. Experimentally, it was found that added noise played a beneficial role in the operation of the threshold neural network, improving data classification and handwritten digit recognition performance.
Article
Engineering, Electrical & Electronic
Mohammad Parvez, Aaron T. Pereira, Nesimi Ertugrul, Neil H. E. Weste, Derek Abbott, Said F. Al-Sarawi
Summary: DC-DC power converters using wide bandgap (WBG) power semiconductor devices, such as SiC and GaN, have become increasingly popular due to their outstanding features and ability to minimize switching losses, allowing for higher switching frequencies and more compact designs. This new generation of power devices has revolutionized power conversion applications and opened up new possibilities for future research and development in the field.
PROCEEDINGS OF THE IEEE
(2021)
Article
Biology
Anahita Fouladzadeh, Mohsen Dorraki, Kay Khine Myo Min, Michaelia P. Cockshell, Emma J. Thompson, Johan W. Verjans, Andrew Allison, Claudine S. Bonder, Derek Abbott
Summary: The development of vascular networks in solid tumours, formed through angiogenesis and vasculogenic mimicry (VM), demonstrate similar characteristics such as reducing path length over time. While endothelial cells in angiogenesis increase network clustering coefficients, maintaining small-world network properties, VM networks improve efficiency by reducing edges and vertices while increasing edge length.
COMMUNICATIONS BIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Jia Liu, Fabing Duan, Francois Chapeau-Blondeau, Derek Abbott
Summary: This study investigates the distributed Bayesian vector parameter estimation problem based on low-resolution observations in a network. It proposes a noise-enhanced Bayesian vector estimator that benefits from artificially added noise. Experimental results demonstrate that intentionally adding an appropriate amount of noise to networks of low-resolution sensors can significantly reduce the mean square error of the designed Bayesian vector estimator.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Lei Xiao, Fabing Duan, Junxuan Tang, Derek Abbott
Summary: A new RUL prediction method is proposed in this study, which utilizes PPCA and AWGN to enhance the robustness and effectiveness of the prediction.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Proceedings Paper
Engineering, Aerospace
Aaron Pereira, Neil Weste, Derek Abbott, Said Al-Sarawi, Okan Yurduseven
Summary: This paper presents a description and evaluation of Gallium Nitride (GaN) Transceivers in the frontends of space-based Synthetic-aperture radar (SAR), showing high efficiency in both RF amplifiers and DC-DC converters. The research indicates that GaN can simplify antenna structures and improve deployment efficiency of radar instruments.
2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021)
(2021)
Article
Physics, Fluids & Plasmas
Fei Li, Fabing Duan, Francois Chapeau-Blondeau, Derek Abbott
Summary: The research focuses on signal estimation and filtering in a large-scale summing network of single-bit quantizers using a gradient-based algorithm. Experimental results indicate that minimizing mean-squared error requires an optimal level of added noise. This adaptive optimization method of the level of added noise extends the application of adaptive stochastic resonance to complex nonlinear signal processing tasks.
Correction
Materials Science, Multidisciplinary
Jakeya Sultana, Md. Saiful Islam, Cristiano M. B. Cordeiro, Alex Dinovitser, Mayank Kaushik, Brian W. -H. Ng, Derek Abbott
Article
Computer Science, Information Systems
Mohammad Biabanifard, Arash Arsanjani, Mohammad Sadegh Abrishamian, Derek Abbott
