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Assessing the corrosion protection property of coatings loaded with corrosion inhibitors using the real-time atmospheric corrosion monitoring technique

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 119-126页

作者： Xiaoxue Wang Lulu Jin Jinke Wang Rongqiao Wang Xiuchun Liu Kai Gao Jingli Sun Yong Yuan Lingwei Ma Hongchang Qian Dawei Zhang School of Energy and Power Engineering Beihang UniversityBeijing 100191China Beijing institute of Space Long March Vehicle Beijing 100076China National Materials Corrosion and Protection data Center University of Science and Technology BeijingBeijing 100083China institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China Shanghai Spaceflight Precision Machinery institute Shanghai 201600China

The atmospheric corrosion monitoring(ACM)technique has been widely employed to track the real-time corrosion behavior of metal ***,limited studies have applied ACM to the corrosion protection properties of organic *** study compared a bare epoxy coating with one containing zinc phosphate corrosion inhibitors,both applied on ACM sensors,to observe their corrosion protection properties over *** with artificial damage via scratches were exposed to immersion and alternating dry and wet environments,which allowed for monitoring galvanic corrosion currents in *** the corrosion tests,the ACM currents of the zinc phosphate/epoxy coating were considerably lower than those of the blank epoxy *** trend in ACM current variations closely matched the results obtained from regular electrochemical tests and surface *** alignment highlights the potential of the ACM technique in evaluating the corrosion protection capabilities of organic *** with the blank epoxy coating,the zinc phosphate/epoxy coating showed much-decreased ACM current values that confirmed the effective inhibition of zinc phosphate against steel corrosion beneath the damaged coating.

关键词： atmospheric corrosion monitoring technology corrosion inhibitor coating carbon steel corrosion protection

Reinforcement learning for whole-building HVAC control and demand response

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Energy and AI 2020年第2期2卷 15-32页

作者： Donald Azuatalam Wee-Lih Lee Frits de Nijs Ariel Liebman Department of data Science and AI Faculty of ITMonash UniversityClaytonVIC 3168Australia monash eResearch Centre Monash UniversityClaytonVIC 3168Australia monash Energy institute Monash UniversityClaytonVIC 3168Australia

This paper proposes a novel reinforcement learning(RL)architecture for the efficient scheduling and control of the heating,ventilation and air conditioning(HVAC)system in a commercial building while harnessing its de-mand response(DR)*** advances in automated building management systems,this can be achieved seamlessly by a smart autonomous RL agent which takes the best action,for example,a change in HVAC temper-ature set point,necessary to change the electricity usage pattern of a building in response to demand response signals,and with minimal thermal comfort impact to *** research in this area has tackled only individual aspects of the problem using ***,due to the challenges in implementing demand response with whole-building models,simpler analytical models which poorly capture reality have been used *** where whole-building models are applied,RL is used for HVAC control mainly to achieve energy efficiency goals while demand response is ***,in this research,we implement a holistic framework by designing an efficient RL controller for a whole-building model which learns to optimise and control the HVAC system for improved energy efficiency and thermal comfort levels in addition to achieving demand response *** simulation results show that by applying reinforcement learning for normal HVAC operation,a maximum weekly energy reduction of up to 22%can be achieved compared to a handcrafted baseline ***,by employing a DR-aware RL controller during demand response periods,average power reductions or increases of up to 50%can be achieved on a weekly basis compared to the default RL controller,while keeping occupant thermal comfort levels within acceptable bounds.

关键词： Demand response Reinforcement learning Whole-building HVAC control Distributed energy resources Optimal HVAC energy scheduling

Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets

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Energy and AI 2023年第4期14卷 371-382页

作者： Jinhao Li Changlong Wang Hao Wang Department of data Science and AI Faculty of Information TechnologyMonash UniversityMelbourneVictoriaAustralia Department of Civil Engineering Monash UniversityMelbourneVictoriaAustralia monash Energy institute Monash UniversityMelbourneVictoriaAustralia

Wind energy has been increasingly adopted to mitigate climate ***,the variability of wind energy causes wind curtailment,resulting in considerable economic losses for wind farm *** curtailment can be reduced using battery energy storage systems(BESS)as onsite backup ***,this auxiliary role may significantly weaken the economic potential of BESS in energy *** BESS scheduling should balance onsite wind curtailment reduction and market bidding,but practical implementation is challenging due to coordination complexity and the stochastic nature of energy prices and wind *** investigate the joint-market bidding strategy of a co-located wind-battery system in the spot and Regulation Frequency Control Ancillary Service *** propose a novel deep reinforcement learning-based approach that decouples the system’s market participation into two related Markov decision processes for each facility,enabling the BESS to absorb onsite wind curtailment while performing joint-market bidding to maximize overall operational *** realistic wind farm data,we validated the coordinated bidding strategy,with outcomes surpassing the optimization-based benchmark in terms of higher revenue by approximately 25%and more wind curtailment reduction by 2.3 *** results show that joint-market bidding can significantly improve the financial performance of wind-battery systems compared to participating in each market *** also show that using curtailed wind generation as a power source for charging the BESS can lead to additional financial *** successful implementation of our algorithm would encourage co-location of generation and storage assets to unlock wider system benefits.

关键词： Wind-battery system Wind curtailment Electricity market Deep reinforcement learning

DeepSecE:A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria

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Research 2024年第3期2023卷 243-257页

作者： Yumeng Zhang Jiahao Guan Chen Li Zhikang Wang Zixin Deng Robin BGasser Jiangning Song Hong-Yu Ou state Key Laboratory of Microbial Metabolism Joint International Laboratory on Metabolic&Developmental SciencesSchool of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Veterinary Biotechnology Shanghai Jiao Tong UniversityShanghai 200240China Biomedicine Discovery institute and Department of Biochemistry and Molecular Biology Monash UniversityMelbourneViC 3800Australia monash data futures institute Monash UniversityMelbourneViC 3800Australia Melbourne Veterinary School Faculty of ScienceThe University of MelbourneParkvilleVIC 3010Australia.

Proteins secreted by Gram-negative bacteria are tightly linked to the virulence and adaptability of these microbes to environmental *** identification of such secreted proteins can facilitate the investigations of infections and diseases caused by these bacterial ***,current bioinformatic methods for predicting bacterial secreted substrate proteins have limited computational efficiency and application scope on a genome-wide ***,we propose a novel deep-learning-based framework—DeepSecE—for the simultaneous inference of multiple distinct groups of secreted proteins produced by Gram-negative *** remarkably improves their classification from nonsecreted proteins using a pretrained protein language model and transformer,achieving a macro-average accuracy of 0.883 on 5-fold *** benchmarking suggests that DeepSecE achieves competitive performance with the state-of-the-art binary predictors specialized for individual types of secreted *** attention mechanism corroborates salient patterns and motifs at the N or C termini of the protein *** this pipeline,we further investigate the genome-wide prediction of novel secreted proteins and their taxonomic distribution across~1,000 Gram-negative bacterial *** present analysis demonstrates that DeepSecE has major potential for the discovery of disease-associated secreted proteins in a diverse range of Gram-negative *** online web server of DeepSecE is also publicly available to predict and explore various secreted substrate proteins via the input of bacterial genome sequences.

关键词： Deep server competitive

Constraints on holographic QCD phase transitions from PTA observations

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 71-78页

作者： Song He Li Li Sai Wang Shao-Jiang Wang Center for Theoretical Physics and College of Physics Jilin University School of Physical Science and Technology Ningbo University Max Planck institute for Gravitational Physics (Albert Einstein institute) CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of Sciences (UCAS) School of Physical Sciences University of Chinese Academy of Sciences (UCAS) Theoretical Physics Division Institute of High Energy Physics Chinese Academy of Sciences

The underlying physics of QCD phase transition in the early Universe remains largely unknown due to its strong-coupling nature during the quark-gluon plasma/hadron gas transition, yet a holographic model has been proposed to quantitatively fit the lattice QCD data while with its duration of the first-order phase transition(FoPT) left undetermined. At specific baryon chemical potential, the first-order QCD phase transition agrees with the observational constraint of baryon asymmetry. It, therefore, provides a scenario for phase transition gravitational waves(GWs) within the standard model of particle physics. If these background GWs could contribute dominantly to the recently claimed common-spectrum red noise from pulsar timing array(PTA) observations, the duration of this FoPT can be well constrained, and the associated primordial black holes are still allowed by current observations.

关键词： pulsar timing array QCD phase transition gravitational waves primordial black holes

Record-breaking bifunctional oxygen electrocatalyst accomplished by a data-driven approach for zinc-air batteries

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Journal of Energy Chemistry 2025年第1期100卷 144-145页

作者： Deviprasath Chinnadurai Zhi Wei Seh institute of Materials Research and Engineering (IMRE) Agency for Science Technology and Research (A*STAR)

Rechargeable zinc-air batteries(ZABs) have recently drawn great attention in energy research due to their high theoretical capacity,low costs, and inherently safe nature [1–3]. However, the sluggish cathode reactions necessitate the development of bifunctional oxygen electrocatalysts with lower ΔE indicator values. The ΔE indicator is commonly employed to quantitatively evaluate the electrocatalytic activity of a bifunctional oxygen electrocatalyst,representing the overall overpotential from oxygen reduction reaction(ORR) to oxygen evolution reaction(OER).

关键词： data-driven approach Bifunctional oxygen electrocatalyst Record breaking performance Zinc-air batteries

Simulation study of new 3-terminal devices for high speed STT-RAM

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Journal of Semiconductors 2011年第7期32卷 46-48页

作者：张树超胡江峰陈培毅邓宁 institute of Microelectronics Tsinghua University data Storage institute A~*STAR

To improve the performance of spin transfer torque random access memory（STT-RAM）,especially writing speed,we propose three modified 3-terminal STT-RAM cells.A magnetic dynamic process in the new structures was investigated through micro-magnetic *** best switching speed of the new structures is 120%faster than that of the rectangular 3-terminal *** optimized 3-terminal device offers high speed while maintaining the high reliability of the 3-terminal structure.

关键词： spin transfer torque non-volatile memory spin valve micro-magnetic simulation

Current opinion on a role of the astrocytes in neuroprotection

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Neural Regeneration Research 2018年第5期13卷 797-798页

作者： Leon Teo James A.Bourne Australian Regenerative Medicine institute Monash University

Central nervous system（CNS）injuries remain a leading cause of functional disabilities worldwide,often resulting in permanent neurological impairments,due to the inability to repair and regenerate damaged connections.A major contributing factor to this loss of regenerative capacity is the formation of glial scar tissue（Cregg et al.,2014）,traditionally regarded as a potent mechanical and molecular barrier to repair.

关键词： Current opinion on a role of the astrocytes in neuroprotection

Bridging the gap:axonal fusion drives rapid functional recovery of the nervous system

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Neural Regeneration Research 2018年第4期13卷 591-594页

作者： Jean-Sébastien Teoh Michelle Yu-Ying Wong Tarika Vijayaraghavan Brent Neumann Neuroscience Program Monash Biomedicine Discovery Institute and Department of Anatomy and Developmental BiologyMonash University

Injuries to the central or peripheral nervous system frequently cause long-term disabilities because damaged neurons are unable to efficiently *** inherent deficiency necessitates the need for new treatment options aimed at restoring lost function to *** to humans,a number of species possess far greater regenerative capabilities,and can therefore provide important insights into how our own nervous systems can be *** particular,several invertebrate species have been shown to rapidly initiate regeneration post-injury,allowing separated axon segments to *** process,known as axonal fusion,represents a highly efficient repair mechanism as a regrowing axon needs to only bridge the site of damage and fuse with its separated counterpart in order to re-establish its original *** recent findings in the nematode Caenorhabditis elegans have expanded the promise of axonal fusion by demonstrating that it can restore complete function to damaged ***,we revealed the importance of injury-induced changes in the composition of the axonal membrane for mediating axonal fusion,and discovered that the level of axonal fusion can be enhanced by promoting a neuron＇s intrinsic growth potential.A complete understanding of the molecular mechanisms controlling axonal fusion may permit similar approaches to be applied in a clinical setting.

关键词： axonal fusion axon regeneration nervous system repair nerve injury phosphatidylserine functional repair axonal transport Caenorhabditis elegans