Forward-looking Perspective Research Articles

Leveraging novel microwave techniques for tailoring the microstructure of energy storage materials

In the dynamic landscape of energy storage materials, the demand for efficient microstructural engineering has surged, driven by the imperative to seamlessly integrate renewable energy. Traditional material preparation methods encounter challenges such as poor controllability, high costs, and stringent operational conditions. The advent of microwave techniques heralds a transformative shift, offering rapid responses, high-temperature energy, and superior controllability. This review critically examines the nuanced applications of microwave technology in tailoring the microstructure of energy storage materials, emphasizing its pivotal role in the energy paradigm and addressing challenges posed by conventional methods. Notably, non-liquid-phase advanced microwave technology holds promise for introducing novel models and discoveries compared to traditional liquid-phase microwave methods. The ensuing discussion explores the profound impact of advanced microwave strategies on microstructural engineering, highlighting discernible advantages in optimizing performance for energy storage applications. Various applications of advanced microwave techniques in this domain are comprehensively discussed, providing a forward-looking perspective on their untapped potential to propel transformative strides in renewable energy research. This review offers insights into the promising future of leveraging microwaves for tailoring the microstructure of energy storage materials.

Navigating the Present and Future Dynamics of Electric Vehicle Fast Charging and its Impact on Grid

As electric vehicle (EV) adoption surges worldwide, the need for fast charging infrastructure becomes paramount. Fast charging technology alleviates range anxiety and bolsters EV practicality. This comprehensive analysis delves into current challenges and future prospects surrounding EV fast charging and its grid impact. Examining the state of fast charging technology, it scrutinizes charging standards, connector types, and power levels across global regions. Emphasis is placed on key market players and the imperative for interoperability and standardization to seamlessly integrate EVs into the power grid. Voltage fluctuations, harmonics, and power factor issues stemming from rapid, high-power charging pose technical hurdles. Solutions like advanced power electronics, grid management tactics, and enhanced communication between EVs and the grid are explored to uphold stability and power quality. Consideration is given to energy sources fueling fast chargers, including renewable integration and environmental repercussions. Economic facets, encompassing infrastructure deployment costs and grid upgrade analyses, are examined amidst escalating electricity demand and potential grid expansion needs. A forward-looking perspective addresses future challenges and opportunities. This includes advancements in battery tech, smart grid solutions, and bidirectional power flow potential between EVs and the grid. Index Terms: Battery electric vehicles (BEVs), Grid, Fast Charging, plug-in hybrid electric vehicles (PHEVs).

A 25-year-long journey into interventional cardiology: looking back, and rushing forward.

Cardiovascular disease remains decade after decade a leading cause of mortality, morbidity and resource use globally as well as locally. We have had the opportunity of being involved in several iterative breakthroughs in invasive cardiovascular procedures, ranging from the advent of coronary stents to transcatheter mitral valve repair. Building up such extensive clinical and research experience, we hereby present 25 years of cardiovascular interventions at Pineta Grande Hospital and Casa di Salute S. Lucia, respectively in Castel Volturno, and S. Giuseppe Vesuviano, both in the Italian Campania region, where the same team of interventional cardiologists has managed to adopt and master several cardiovascular innovations for the benefit of thousands of patients. Our experience showcases the evolution of invasive cardiology, especially in diagnostic and therapeutic practices. Key highlights include advancements in coronary procedures, with the introduction of bare-metal stents, drug-eluting stents and drug-coated balloons, despite the setback of bioresorbable vascular scaffolds, as well as transcatheter aortic valve implantation and innovative approaches to mitral regurgitation. Furthermore, this overview scrutinizes procedural challenges, patient outcomes, and quality of life improvements, providing a rich tapestry of clinical experiences and research insights. It serves as a testament to the dynamic nature of interventional cardiology, offering a forward-looking perspective on future trends and technologies. We hope that this overview will prove an informative and insightful read for those seeking to understand the intricate journey of invasive cardiovascular care over the past decades and its trajectory into the future.

The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry

ABSTRACT Creativity has long been viewed as the bastion of human expression. With the advent of generative artificial intelligence (AI), there is an emerging notion of artificial creativity that contests traditional perspectives of artistic exploration. This paper explores the complex dynamics of this evolution by examining how generative AI intertwines with and transforms the art world. It presents a comprehensive analysis of the challenges posed by generative AI in art, from questions of authenticity and intellectual property to ethical dilemmas and impacts on conventional art practices. Simultaneously, it investigates the revolutionary opportunities generative AI offers, including the democratization of art creation, the expansion of creative boundaries, and the development of new collaborative and economic models. The paper posits that the integration of generative AI in art is not just a technological advancement but a significant cultural shift, which necessitates a reevaluation of our understanding of art and the artist. It concludes with a forward-looking perspective, advocating for a collaborative approach to harness the potential of this technology in enriching human creativity and ensuring the vibrant evolution of the art world in the era of AI-driven generation.

Research and Application of Visible Light Communication Technology

In recent years, the rapid growth of mobile devices and wireless services has created a significant demand for RF-based technologies. Among the various emerging wireless communication forms, Visible Light Communications (VLC) stands out as a potentially transformative technology that not only complements RF communications but also introduces innovative possibilities for mobile wireless device applications. VLC utilizes visible light for communication, offering high-speed data transmission, improved energy efficiency, and enhanced communication security and privacy. This article thoroughly explores VLC, discussing its core concepts, fundamental principles, and essential technologies that define this rapidly developing field. By providing insights into the intricacies of VLC, readers can gain a better understanding of its mechanisms and capabilities. The exploration also extends to elucidating the diverse application scenarios where VLC can be effectively applied, showcasing its versatility and potential impact on various sectors. This comprehensive survey not only presents the current state of VLC but also predicts future development trends, providing a forward-looking perspective on the evolution of this technology. As the demand for efficient and secure wireless communications continues to rise, VLC emerges as a promising frontier, poised to play a pivotal role in shaping the landscape of communication technologies in the years to come.

Towards Stem Cell Therapy for Critical-Sized Segmental Bone Defects: Current Trends and Challenges on the Path to Clinical Translation.

The management and reconstruction of critical-sized segmental bone defects remain a major clinical challenge for orthopaedic clinicians and surgeons. In particular, regenerative medicine approaches that involve incorporating stem cells within tissue engineering scaffolds have great promise for fracture management. This narrative review focuses on the primary components of bone tissue engineering-stem cells, scaffolds, the microenvironment, and vascularisation-addressing current advances and translational and regulatory challenges in the current landscape of stem cell therapy for critical-sized bone defects. To comprehensively explore this research area and offer insights for future treatment options in orthopaedic surgery, we have examined the latest developments and advancements in bone tissue engineering, focusing on those of clinical relevance in recent years. Finally, we present a forward-looking perspective on using stem cells in bone tissue engineering for critical-sized segmental bone defects.

A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects

This study employs scientometric analysis to investigate the current trajectory of research on tunnel boring machine (TBM) performance and collaborative efforts. Utilizing software tools like Pajek 5.16 and VOSviewer 1.6.18, it scrutinizes literature from 2000 to 2021 sourced from the Web of Science (WOS). The findings illuminate TBM research as an interdisciplinary and intersectoral field attracting increasing national and institutional attention. Notable contributions from China, Iran, the United States, Turkey, and Australia underscore the global significance of TBM research. The recent upsurge in annual publications, primarily driven by Chinese research initiatives, reflects a renewed vigor in TBM exploration. Additionally, the paper presents a succinct evaluation of TBM advantages and drawbacks compared to conventional drill and blast methods, discussing key considerations in excavation methodology selection. Moreover, the study comprehensively reviews TBM performance prediction models, categorizing them into theoretical, empirical, and artificial intelligence-driven approaches. Finally, rooted in metaverse theory, the discourse delves into the immersive learning model and the architecture of a TBM metaverse. In the future, the immersive training and learning model diagram can be employed in scenarios such as employee training and the promotion of safety knowledge. Additionally, the TBM metaverse architecture can simulate, monitor, diagnose, predict, and control the organization, management, and service processes and behaviors of TBMs. This will enhance efficient collaboration across various aspects of the project production cycle. This forward-looking perspective anticipates future trends in TBM technology, emphasizing societal impact and enhancement of economic benefits.

Ultrafast Laser Processing of 2D Materials: Novel Routes to Advanced Devices.

Ultrafast laser processing has emerged as a versatile technique for modifying materials and introducing novel functionalities. Over the past decade, this method has demonstrated remarkable advantages in the manipulation of 2D layered materials, including synthesis, structuring, functionalization, and local patterning. Unlike continuous-wave and long-pulsed optical methods, ultrafast lasers offer a solution for thermal heating issues. Nonlinear interactions between ultrafast laser pulses and the atomic lattice of 2D materials substantially influence their chemical and physical properties. This paper highlights the transformative role of ultrafast laser pulses in maskless green technology, enabling subtractive, and additive processes that unveil ways for advanced devices. Utilizing the synergetic effect between the energy states within the atomic layers and ultrafast laser irradiation, it is feasible to achieve unprecedented resolutions down to several nanometers. Recent advancements are discussed in functionalization, doping, atomic reconstruction, phase transformation, and 2D and 3D micro- and nanopatterning. A forward-looking perspective on a wide array of applications of 2D materials, along with device fabrication featuring novel physical and chemical properties through direct ultrafast laser writing, is also provided.

A comprehensive analysis of the influence of information technology on organizational management characteristics

The paper conducts a thorough investigation and broadens current academic and mainstream literature to deliver a comprehensive evaluation of how information technology (IT) impacts organizational characteristics and outcomes. First, drawing from the literature analysis, we delineate two key advantages of IT in enhancing performance: information efficiencies, which streamline processes, resource allocation along with information synergies, which foster collaborative environments as well as amplify the value derived from data integration and sharing across organizational domains. Following our discussion, we proceed to delineate the fundamental organizational outcomes that stem from the integration of IT, which encapsulate these inherent advantages. Following that, we research into the multifaceted impact of IT on managing the connection between various organizational attributes, including its pivotal role in fostering innovation, streamlining efficiency, facilitating information synergies and promoting effectiveness in interorganizational relationships. In our comprehensive exploration, we thoroughly investigate and analyze the attainment of strategic outcomes, the optimization of organizational efficiency, along with the fostering of innovation in the realm of information technology. Our examination extends beyond the positive aspects, as we delve deeply into the multifaceted landscape of constraints and potential adverse outcomes intricately intertwined with IT usage. This thorough scrutiny allows gaining valuable insights into the challenges that can arise, providing a nuanced understanding of the intricate dynamics involved. Conclude our investigation; we scrutinize various pivotal avenues for future research, ensuring a forward-looking perspective that addresses emerging trends and evolving challenges in the ever-changing landscape of information technology.

Advances in Two-Dimensional Ion-Selective Membranes: Bridging Nanoscale Insights to Industrial-Scale Salinity Gradient Energy Harvesting.

Salinity gradient energy, often referred to as the Gibbs free energy difference between saltwater and freshwater, is recognized as "blue energy" due to its inherent cleanliness, renewability, and continuous availability. Reverse electrodialysis (RED), relying on ion-selective membranes, stands as one of the most prevalent and promising methods for harnessing salinity gradient energy to generate electricity. Nevertheless, conventional RED membranes face challenges such as insufficient ion selectivity and transport rates and the difficulty of achieving the minimum commercial energy density threshold of 5 W/m2. In contrast, two-dimensional nanostructured materials, featuring nanoscale channels and abundant functional groups, offer a breakthrough by facilitating rapid ion transport and heightened selectivity. This comprehensive review delves into the mechanisms of osmotic power generation within a single nanopore and nanochannel, exploring optimal nanopore dimensions and nanochannel lengths. We subsequently examine the current landscape of power generation using two-dimensional nanostructured materials in laboratory-scale settings across various test areas. Furthermore, we address the notable decline in power density observed as test areas expand and propose essential criteria for the industrialization of two-dimensional ion-selective membranes. The review concludes with a forward-looking perspective, outlining future research directions, including scalable membrane fabrication, enhanced environmental adaptability, and integration into multiple industries. This review aims to bridge the gap between previous laboratory-scale investigations of two-dimensional ion-selective membranes in salinity gradient energy conversion and their potential large-scale industrial applications.

Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning

This research provides a structured review of studies that utilize Artificial Intelligence for safety and reliability. In particular, it focuses on Machine Learning techniques to perform fault detection and diagnosis, anomaly detection, system prognosis, reliability analysis, and risk assessment of engineering-related systems across the industry. Relevant studies were identified through clear research questions, screened, and assessed for eligibility. Explicit inclusion and exclusion criteria were defined to verify the suitability of the records. The analysis encompasses a descriptive, bibliometric, and interpretative review. The descriptive analysis details how different ML approaches are adapted and implemented across various domains of safety and reliability. The bibliometric analysis provides in-depth and comprehensive statistics, covering aspects such as data types used, preprocessing steps undertaken, and categories of ML algorithms employed. The interpretative analysis offers a critical and forward-looking perspective on the current state of the field. A total of 308 papers were analyzed, mostly adopting supervised learning frameworks (81%) and addressing fault detection and diagnosis (57%) in more than 16 different industrial fields. The outcome of this study reflects the rapid development of this cross-cutting and interdisciplinary research field and highlights the potential for future improvement in the data-driven operational safety of industrial plants. Challenges and limitations have been highlighted and discussed, including data availability and label scarcity, data quality, trust and explainability, and interdisciplinary collaboration. Additionally, suggestions on potential solutions to overcome existing limitations and outline future directions are provided.

A converging path: a decade’s reflection on net zero emissions and the circular economy

In the past decade, global sustainability efforts have increasingly focused on two critical paradigms: achieving net zero emissions (NZE) and advancing the circular economy (CE). This article provides a detailed examination of the challenges and breakthroughs in harmonizing these approaches, drawing from a broad range of academic discussions, technological innovations, policy developments, and practical implementations. We identify specific obstacles, such as technological limitations, policy inertia, and economic and social barriers, that hinder progress towards NZE and CE. The paper then outlines targeted solutions, including cutting-edge technologies like carbon capture and storage, policy frameworks that incentivize sustainable practices, and examples of successful circular economy models. Through a critical analysis of both the synergies and tensions between NZE and CE, the article highlights the necessity for cross-sector collaboration, robust policy support, and ongoing innovation to overcome these challenges. Concluding with a forward-looking perspective, we emphasize strategic pathways for integrated sustainability efforts, advocating for a multi-faceted approach that combines technological advancement, policy reform, and stakeholder engagement. By offering a more nuanced understanding of the interplay between theoretical goals and practical realities, this revised abstract aims to inspire action and foster a collective move towards a sustainable global future.

Impact of dioxins on reproductive health in female mammals.

Extensive research has been conducted to investigate the toxicological impact of dioxins on mammals, revealing profound effects on the female reproductive system in both humans and animals. Dioxin exposure significantly disrupts the intricate functions of the ovary, a pivotal organ responsible for reproductive and endocrine processes. This disruption manifests as infertility, premature ovarian failure, and disturbances in sex steroid hormone levels. Comprehensive studies, encompassing accidental human exposure and experimental animal data, have raised a wealth of information with consistent yet varied conclusion influenced by experimental factors. This review begins by providing an overarching background on the ovary, emphasizing its fundamental role in reproductive health, particularly in ovarian steroidogenesis and hormone receptor regulation. Subsequently, a detailed examination of the Aryl hydrocarbon Receptor (AhR) and its role in governing ovarian function is presented. The review then outlines the sources and toxicity of dioxins, with a specific focus on AhR involvement in mediating reproductive toxicity in mammals. Within this context, the impact of dioxins, notably 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), on Folliculogenesis and Preimplantation embryos is discussed. Furthermore, the review delves into the disruptions of the female hormonal system caused by TCDD and their ramifications in endometriosis. Notably, variations in the effects of TCDD on the female reproductive and hormonal system are highlighted in relation to TCDD dose, animal species, and age. As a forward-looking perspective, questions arise regarding the potential involvement of molecular mechanisms beyond AhR in mediating the female reproductive toxicity of dioxins.

2D Conductive Metal–Organic Frameworks for Electrochemical Energy Application

Two-dimensional conductive metal–organic frameworks (2D c-MOFs) have attracted research attention, benefitting from their unique properties such as superior electronic conductivity, designable topologies, and well-defined catalytic/redox-active sites. These advantages enable 2D c-MOFs as promising candidates in electrochemical energy applications, including supercapacitors, batteries and electrocatalysts. This mini-review mainly highlights recent advancements of 2D c-MOFs in the utilization for electrochemical energy storage, as well as the forward-looking perspective on the future prospects of 2D c-MOFs in the field of electrochemical energy.Table of content:1 Introduction2 Design Principles of 2D c-MOFs3 Synthesis of 2D c-MOFs4 2D c-MOFs for Electrochemical Energy Storage4.1 Supercapacitors4.2 Metallic Batteries4.2.1 Lithium-Ion Batteries4.2.2 Sodium-Ion Batteries4.2.3 Zinc-Ion Batteries4.2.4 Sodium–Iodine Batteries4.2.5 Lithium–Sulfur Batteries4.2.6 Potassium-Ion Batteries5 2D c-MOFs for Electrochemical Energy Conversion6 Conclusions and Outlook

Application and prospect of microfluidic devices for rapid assay of cell activities in the tumor microenvironment

The global impact of cancer on human health has raised significant concern. In this context, the tumor microenvironment (TME) plays a pivotal role in the tumorigenesis and malignant progression. In order to enhance the accuracy and efficacy of therapeutic outcomes, there is an imminent requirement for in vitro models that can accurately replicate the intricate characteristics and constituents of TME. Microfluidic devices exhibit notable advantages in investigating the progression and treatment of tumors and have the potential to become a novel methodology for evaluating immune cell activities in TME and assist clinicians in assessing the prognosis of patients. In addition, it shows great advantages compared to traditional cell experiments. Therefore, the review first outlines the applications and advantages of microfluidic chips in facilitating tumor cell culture, constructing TME and investigating immune cell activities. Second, the roles of microfluidic devices in the analysis of circulating tumor cells, tumor prognosis, and drug screening have also been mentioned. Moreover, a forward-looking perspective is discussed, anticipating the widespread clinical adoption of microfluidic devices in the future.

Exploring Thermal Dynamics in Wound Healing: The Impact of Temperature and Microenvironment.

Exploring the critical role of thermal dynamics in wound healing, this manuscript navigates through the complex biological responses initiated upon wound infliction and how temperature variations influence the healing trajectory. Integrating biothermal physics, clinical medicine, and biomedical engineering, it highlights the significance of thermal management in wound care, emphasizing the wound microenvironment's division into internal and external domains and their collaborative impact on tissue repair. Innovations in real-time wound temperature monitoring, especially through intelligent wireless sensor dressings, are spotlighted as transformative, enabling precise wound condition management. The text underscores the necessity for further research to elucidate thermal regulation's molecular and cellular mechanisms on healing processes. It advocates for standardized protocols for localized heating treatments, integrating them into personalized wound care strategies to enhance therapeutic outcomes, improve patient well-being, and achieve cost-effective healthcare practices. This work presents a forward-looking perspective on refining wound management through sophisticated, evidence-based interventions, emphasizing the interplay between thermal dynamics and wound healing.

Evolution of Various Legal Dimensions for Flat-buyers in Bharat

This paper delves into the dynamic landscape of laws regulating the rights and responsibilities of flat buyers in India, tracing the evolution of the legal framework from its inception to the present day. The journey unfolds against the backdrop of India's rapidly growing real estate sector, characterized by its multifaceted challenges and opportunities. The study encompasses an in-depth examination of key legislations, judicial precedents, and policy interventions that have shaped the rights and protections afforded to flat buyers. Beginning with an exploration of early property laws, the paper elucidates the factors that necessitated specialized regulations governing the purchase of flats and apartments. The advent of cooperative housing societies and the Real Estate (Regulation and Development) Act, 2016, marks significant milestones in this evolution, with an emphasis on consumer protection, transparency, and accountability. The analysis extends to the interplay between statutory provisions and evolving judicial interpretations, highlighting landmark cases that have influenced the legal landscape. Furthermore, the paper investigates the impact of technological advancements, such as online property transactions and blockchain, on the legal aspects of flat purchases. It scrutinizes the role of digitization in enhancing transparency, reducing fraud, and expediting dispute resolution mechanisms. The study also considers the challenges and gaps in the existing legal framework, offering insights into potential areas for reform. Issues like delays in project completion, ambiguous contractual terms, and the efficacy of dispute resolution mechanisms are examined through a critical lens. Additionally, the paper sheds light on the role of consumer awareness and education in empowering flat buyers to make informed decisions. In conclusion, the Evolution of Law for Flat Buyers in India is a comprehensive analysis that not only maps the historical development of legal frameworks but also provides a forward-looking perspective on potential reforms and innovations. This research contributes to a deeper understanding of the legal dynamics surrounding flat purchases, offering valuable insights for policymakers, legal practitioners, and stakeholders in the real estate industry.

Advances in Understanding the Evolution Mechanism of Micropore Defects in Metal Materials under External Loads

Micropores are one of the critical factors affecting materials’ performance and service life. As the need for a deeper understanding of micropore evolution and damage mechanisms grows, assessing the mechanical properties of materials containing micropores and predicting the lifespan of related metal structural components becomes increasingly complex. This paper focuses on the evolution process, regularities, and research methods of micropores in metal materials. Based on recent research and practical applications, the key stages of micropore evolution are discussed, encompassing nucleation, growth, coalescence, collapse, interaction, and the influence of other microstructures. Firstly, the advantages and limitations of commonly used characterization methods such as scanning electron microscopy, transmission electron microscopy, and X-ray computed tomography are introduced in the study of micropore evolution. Subsequently, critical theoretical models for micropore evolution, such as the Gurson model and its extensions, are summarized. By using a multiscale approach combining the crystal plasticity finite element method, dislocation dynamics, and molecular dynamics, the factors influencing the micropore evolution, such as external stress conditions, internal microstructures, and micropore characteristics, are specifically elaborated, and the basic physical mechanisms of micropore evolution are analyzed. Finally, a comprehensive review and summary of current research trends and key findings are provided, and a forward-looking perspective on future research directions is presented.

A Strategic Framework for Sustainable Business Model of Renewable Energy Services

Purpose: The main objective of this research is to investigate the ongoing scientific investigations into sustainable business models framework in the energy sector, with a particular focus on the shift towards renewable energy sources. This entails comprehending how firms may adjust to and propel the transition towards sustainability in accordance with the Sustainable Development Goals (SDGs). Theoretical Framework: The theoretical foundation of this study is anchored in the concept of the triple bottom line, which emphasizes the need for businesses to focus on three key areas: economic, social, and environmental dimensions. This approach is essential for achieving sustainable development, as it ensures that business models are designed to contribute positively to society and the environment, in addition to being economically viable. Methodology: A comparative literature review serves as the methodology for this research. This method involves systematically analyzing existing literature on sustainable business models in the energy sector to identify trends, gaps, and theoretical underpinnings. The comparative aspect allows for the evaluation of different approaches and the identification of best practices and areas for future research. Findings: The research identifies that while there is a growing trend towards the adoption of renewable energy sources, significant challenges remain. These include technological limitations, regulatory barriers, and financial constraints. However, by refining the business model canvas to incorporate elements of sustainability, businesses can create adaptable frameworks that address these challenges. This revised canvas includes components that emphasize economic viability, socio-cultural values, and ecological integrity. Research & Practical Implications: The conceptualization of a sustainable business model canvas is a key practical implication of this research. It offers businesses a clear and systematic way to integrate sustainable practices into their operations. This tool is designed to promote holistic sustainable development and informed decision-making by incorporating economic, socio-cultural, and ecological values into the business planning process. By doing so, it has the potential to facilitate the transition towards more sustainable business practices in the energy sector and beyond, thereby contributing to the achievement of the SDGs. Originality: The originality of this study is grounded in its comprehensive approach to integrating sustainability into business models, its adaptation of existing frameworks to better suit sustainable development goals, and its forward-looking perspective that seeks to guide future research and practical applications in the energy sector and beyond.

Exploring the Terrain: An Investigation into Deep Learning-Based Fusion Strategies for Integrating Infrared and Visible Imagery

Infrared and visible image fusion technologies influence distinct image features acquired from distinct sensors, preserving complementary information from input images throughout the process of fusion, and utilizing redundant data to enhance the quality of the resulting fused image. Recently, deep learning methods (DL) have been employed by numerous researchers to investigate image fusion, revealing that the application of DL significantly enhances the efficiency of the model and the quality of fusion outcomes. Nevertheless, it is very important to note that DL can be implemented in various branches, and currently, a comprehensive investigation of deep learning-based methods in image fusion is in process.The paper aims to provide an exhaustive review of the evolution of image fusion algorithms grounded in deep learning over the years. Precisely, this paper undertakes a particular exploration of the fusion techniques applied to infrared and visible images through deep learning methodologies. The investigation includes a qualitative and quantitative comparison of extant fusion algorithms using established quality indicators, along with a thorough discussion of diverse fusion approaches. The current research status concerning infrared and visible image fusion is presented, with a forward-looking perspective on potential future directions. This research makes an effort to contribute valuable insights into various image fusion methods developed in recent years, thereby laying a solid foundation for subsequent research goings-on in this domain.