Engineering reports : open access最新文献_第8页

Quantum Computing: Foundations, Architecture and Applications 量子计算：基础、架构和应用

IF 2

Engineering reports : open access Pub Date : 2025-08-26 DOI: 10.1002/eng2.70337

Christopher Columbus Chinnappan, Palani Thanaraj Krishnan, Elakiya Elamaran, Rajakumar Arul, T. Sunil Kumar

{"title":"Quantum Computing: Foundations, Architecture and Applications","authors":"Christopher Columbus Chinnappan, Palani Thanaraj Krishnan, Elakiya Elamaran, Rajakumar Arul, T. Sunil Kumar","doi":"10.1002/eng2.70337","DOIUrl":"https://doi.org/10.1002/eng2.70337","url":null,"abstract":"Quantum computing exploits the principles of quantum mechanics to address computational problems that are intractable to classical systems. This study examines the evolution, architecture, and applications of the field, with a focus on foundational principles, hardware advancements, and algorithmic progress. Recent quantum processors, such as Google's Willow and IBM's Heron, represent significant advancements in qubit count and gate fidelity; however, they remain constrained by qubit instability, environmental noise, and limitations of current error correction techniques. Quantum algorithms, including Shor's, Grover's, and HHL algorithms, have demonstrated substantial speedups in cryptography, optimization, and machine learning. Nevertheless, the realization of this potential in real-world problems encounters major bottlenecks related to low qubit counts and error correction. Applications span domains such as cryptography, drug discovery, precision medicine, financial modeling, and materials science, in which quantum computation offers potential breakthroughs. However, the development of practical quantum systems presents a substantial challenge. Key programming languages, such as Q#, Qiskit, and Cirq, facilitate algorithmic development and deployment; however, the efficiency of current quantum algorithms is limited by hardware constraints. The future of quantum computing lies in interdisciplinary collaboration, the development of resource-efficient error-correction techniques, and continued hardware development. This study underscores the potential of quantum computing, while emphasizing the research and development required to fully harness its capabilities to address major scientific and technological challenges.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Wear Performance of Al6063 Hybrid Composites Reinforced With Multi-Ceramic Particles Using Experimental and ANFIS Approaches 用实验和ANFIS方法预测多陶瓷颗粒增强Al6063复合材料的磨损性能

IF 2

Engineering reports : open access Pub Date : 2025-08-26 DOI: 10.1002/eng2.70359

Vijayakumar Sivasundar, M. Naga Swapna Sri, P. Anusha, Deepak Gupta, Sujeet Kumar, Naveen Kumar, Abhijit Bhowmik, Ram Subbiah, Nagaraj Ashok

{"title":"Predicting Wear Performance of Al6063 Hybrid Composites Reinforced With Multi-Ceramic Particles Using Experimental and ANFIS Approaches","authors":"Vijayakumar Sivasundar, M. Naga Swapna Sri, P. Anusha, Deepak Gupta, Sujeet Kumar, Naveen Kumar, Abhijit Bhowmik, Ram Subbiah, Nagaraj Ashok","doi":"10.1002/eng2.70359","DOIUrl":"https://doi.org/10.1002/eng2.70359","url":null,"abstract":"Aluminum 6063 matrix composites are widely employed in wear-resistant applications due to their high specific strength, lightweight nature, and excellent corrosion resistance. This study conducted a wear analysis on Al6063 composites reinforced with varying concentrations of titanium carbide (TiC), silicon nitride (Si3N4), and zinc oxide (ZnO) using a pin-on-disc apparatus. The investigation focused on four key input variables: applied load, sliding velocity, sliding distance, and a combined reinforcement composition (R) of TiC + ZnO + Si3N4. Wear performance was evaluated using two indicators—specific wear rate (SWR) and coefficient of friction (COF). The minimum SWR observed was 4.55 mm3/Nm under optimized conditions: 60 N load, 2 m/s sliding velocity, 1000 m sliding distance, and 4.5 wt% reinforcement. The lowest COF, 0.276, was achieved at a 60 N load, 4 m/s velocity, 2000 m distance, and 1.5 wt% reinforcement. The reduction in wear rate is attributed to the synergistic effect of the reinforcements, which enhance load-bearing capacity and abrasion resistance due to their hardness and thermal stability. Increased reinforcement content led to notable reductions in both SWR and COF, whereas higher loads tended to increase both responses. An Adaptive Neuro-Fuzzy Inference System (ANFIS) was employed to predict output responses based on the input parameters.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rapid 3D Printing of Nanoporous Microsupercapacitor Electrodes Using Projection Two-Photon Lithography 利用投影双光子光刻技术快速3D打印纳米多孔微超级电容器电极

IF 2

Engineering reports : open access Pub Date : 2025-08-26 DOI: 10.1002/eng2.70364

Henry R. Chance, Harnjoo Kim, Billyde Brown, Sourabh K. Saha

{"title":"Rapid 3D Printing of Nanoporous Microsupercapacitor Electrodes Using Projection Two-Photon Lithography","authors":"Henry R. Chance, Harnjoo Kim, Billyde Brown, Sourabh K. Saha","doi":"10.1002/eng2.70364","DOIUrl":"https://doi.org/10.1002/eng2.70364","url":null,"abstract":"Despite their high power density, microsupercapacitors (MSCs) are impractical for many energy storage applications due to their limited energy density. Their energy density can be increased by shaping the electrodes into 3D structures with high specific surface area (SSA). Direct printing of nanoporous 3D electrodes is a promising approach for achieving high SSA. However, conventional nanoscale 3D printing is too slow due to point-by-point processing. Here, we have employed the projection two-photon lithography technique to fabricate nanoporous 3D electrodes via a rapid layer-by-layer mechanism. The 3D MSC electrodes are engineered as an array of nanoporous polymeric micropillars that are printed with customizable spacing and count over a 0.25 cm2 area. After printing, these micropillars are conformally coated with titanium nitride to form conductive 3D electrodes, which exhibit a specific capacitance of 361 μF/cm2. This is two orders of magnitude higher than the capacitance of the flat surface and exceeds the capacitance of both traditional bare electrodes, such as single-wall carbon nanotubes (< 100 μF/cm2), and electrodes produced by photo-polymerization 3D printing (˜200 μF/cm2). As our work demonstrates that high energy density 3D electrodes can be rapidly fabricated, it significantly expands the utility of MSCs as miniaturized energy storage devices.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IMPACT-TB: Integrated Medical Imaging and AI for Precise Tuberculosis Detection IMPACT-TB：集成医学成像和人工智能用于精确结核病检测

IF 2

Engineering reports : open access Pub Date : 2025-08-26 DOI: 10.1002/eng2.70356

Asif Nawaz, Mohammad Shehab, Muhammad Rizwan Rashid Rana, Basit Qureshi, Zahid Khan, Muhammad Babar

{"title":"IMPACT-TB: Integrated Medical Imaging and AI for Precise Tuberculosis Detection","authors":"Asif Nawaz, Mohammad Shehab, Muhammad Rizwan Rashid Rana, Basit Qureshi, Zahid Khan, Muhammad Babar","doi":"10.1002/eng2.70356","DOIUrl":"https://doi.org/10.1002/eng2.70356","url":null,"abstract":"Tuberculosis (TB) remains one of the most significant global health challenges, particularly in low-resource settings where timely and accurate diagnosis is critical for effective treatment and disease control. Despite advancements in diagnostic technologies, existing models often face limitations, such as high computational demands, limited generalizability across diverse populations, and challenges in interpretability. These constraints can hinder the widespread adoption of automated TB diagnosis systems, particularly in areas where the disease burden is high. To address these challenges, we propose IMPACT-TB, an advanced deep learning-based model that integrates cutting-edge feature extraction using the CoAtNet architecture and a robust fully connected neural network (FCNN) for precise TB diagnosis. The key steps of IMPACT-TB include detailed feature extraction from chest X-rays and CT scans using CoAtNet, followed by accurate classification through the FCNN, ensuring effective handling of complex and nonlinear relationships. The model is rigorously tested across multiple datasets, including TB-DSI, TB-DSII, and TB-DSIII, demonstrating consistent and superior performance with high accuracy of 96.56% for TB-DSI, 97.45% for TB-DSII, and 96.12% for TB-DSIII, respectively. Compared to existing models, IMPACT-TB not only achieves better diagnostic accuracy but also offers enhanced interpretability and generalizability, making it a valuable tool for TB diagnosis in diverse clinical settings.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial Intelligence in Organic Photovoltaics: Predicting Power Conversion Efficiency From the Molecular Chemical Structure of (Donor/Acceptor) Pairs 有机光伏中的人工智能：从（供体/受体）对的分子化学结构预测功率转换效率

IF 2

Engineering reports : open access Pub Date : 2025-08-21 DOI: 10.1002/eng2.70334

Khoukha Khoussa, Larbi Boubchir, Patrick Lévêque

{"title":"Artificial Intelligence in Organic Photovoltaics: Predicting Power Conversion Efficiency From the Molecular Chemical Structure of (Donor/Acceptor) Pairs","authors":"Khoukha Khoussa, Larbi Boubchir, Patrick Lévêque","doi":"10.1002/eng2.70334","DOIUrl":"https://doi.org/10.1002/eng2.70334","url":null,"abstract":"Organic solar cells (OSCs) can achieve power conversion efficiencies around 20%. Yet, further improvements in efficiency and long-term stability are necessary to rival the dominant silicon technology. Key factors influencing OSC performance include device architecture and the active-layer semiconducting organic materials. In this study, we utilize artificial intelligence (AI) techniques to analyze an experimental dataset of organic semiconductors used in the active layer of OSCs. We propose an AI-based methodology to predict the performance of OSCs using the chemical structure of Donor-Acceptor (D/A) pairs. The method employs Simplified Molecular Input Line Entry System (SMILES) representations to extract molecular features. These features, selected according to maximum relevance and minimum redundancy criteria, are used by supervised machine learning regression algorithms to predict the main photovoltaic parameters. Our AI model demonstrates significant predictive power. Further, we use our model to predict the photovoltaic parameters of (D/A) pairs that were not included in our initial dataset. These findings highlight the potential of AI-driven analysis to accurately estimate the photovoltaic potential of new (D/A) pairs before synthesizing them and therefore to accelerate the development of commercially viable OPV devices and to lower the materials research cost.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70334","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144885093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Profile: Professor Tung-Chai (Bill) Ling 简介：凌东柴（比尔）教授

IF 2

Engineering reports : open access Pub Date : 2025-08-20 DOI: 10.1002/eng2.70296

Tung-Chai Ling

引用次数: 0

AgriSage: Android-Based Application for Empowering Farmers With E-Commerce and AI-Driven Disease Detection AgriSage：基于android的应用程序，为农民提供电子商务和人工智能驱动的疾病检测

IF 2

Engineering reports : open access Pub Date : 2025-08-18 DOI: 10.1002/eng2.70342

Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed

{"title":"AgriSage: Android-Based Application for Empowering Farmers With E-Commerce and AI-Driven Disease Detection","authors":"Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed","doi":"10.1002/eng2.70342","DOIUrl":"https://doi.org/10.1002/eng2.70342","url":null,"abstract":"Agriculture faces critical challenges such as timely disease detection, fragmented market access, and limited use of real-time technology in the field. To address these issues, we developed AgriSage, an Android-based intelligent mobile application that integrates artificial intelligence, weather forecasts, and governmental scheme updates to support farmers, sellers, customers, and policymakers. The application incorporates two optimized deep learning models designed for on-device deployment. The first model, based on MobileNetV2, performs binary classification to detect the presence of plants in images. It achieved a precision, recall, and F1-score of 1.00 for both classes, indicating perfect classification performance on the test set. On-device inference testing of the converted TensorFlow Lite model resulted in an average prediction time of approximately 3736.44 ms per image when evaluated through the validation pipeline. Another deep learning model, that is, a convolutional neural network designed for disease classification, was trained on the PlantVillage dataset across 38 classes. It achieved a macro average F1-score of 0.8207 and a weighted average F1-score of 0.8703. The optimized TensorFlow Lite version demonstrated an average inference time of 35.6 ms per image, confirming its suitability for real-time, on-device deployment. AgriSage delivers a robust and scalable platform integrating AI-powered crop monitoring and disease detection. It also provides real-time agricultural support services, contributing to improved decision-making and promoting sustainable farming practices.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70342","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries 电动汽车电池的实时参数辨识与充电状态估计

IF 2

Engineering reports : open access Pub Date : 2025-08-18 DOI: 10.1002/eng2.70346

A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El-Rifaie, Ezzeddine Touti, Ahmed I. Omar

{"title":"Real-Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries","authors":"A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El-Rifaie, Ezzeddine Touti, Ahmed I. Omar","doi":"10.1002/eng2.70346","DOIUrl":"https://doi.org/10.1002/eng2.70346","url":null,"abstract":"Accurate determination of the state of charge (SOC) is crucial for carrying out a range of battery management tasks. Meanwhile, for figuring out the SOC, it is crucial to determine the battery model parameters as they can vary based on the operating conditions. This paper proposes a novel algorithm called the variable forgetting factor recursive least squares algorithm (VFFRLS) to tackle this problem. Simulations are carried out on two different battery models, specifically one RC and two RC models. The fixed forgetting factor RLS (FFRLS) algorithm is implemented with two different forgetting factor (FF) values, while the VFFRLS method utilizes different initial FF values. From the results obtained from two RC-ECM, the MSE of VFFRLS (λ0 = 0.95) is about 2.45e-4, followed by VFFRLS (λ0 = 1) by 2.48e-4, FFRLS (λ = 0.95) by 3.53e-04, and FFRLS (λ = 1) by 0.002, confirming the accuracy of VFFRLS over FFRLS. The simulation results clearly show that the suggested VFFRLS technique outperforms the conventional RLS. In addition, the SOC estimation has been conducted using the optimized extended Kalman filter. The suggested battery model, parameter identification algorithm, and optimized filter have been tested and validated using real-time datasets from various sources, including the NASA online battery dataset, data collections of Panasonic 18650PF and LG 18650HG2 batteries. The verification process involved both constant load conditions and the dynamic drive profile of an electric vehicle.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70346","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Smart Grid Demand Response: A Stackelberg Game Framework for Priority-Aware Dynamic Pricing and Load Scheduling 优化智能电网需求响应：优先级感知动态定价和负荷调度的Stackelberg博弈框架

IF 2

Engineering reports : open access Pub Date : 2025-08-17 DOI: 10.1002/eng2.70341

Syed Ashraf Ali, Sohail Imran Saeed, Sanaullah Ahmad, Muhammad Waqas, Syed Haider Ali, Dilawar Shah, Shujaat Ali, Muhammad Tahir

{"title":"Optimizing Smart Grid Demand Response: A Stackelberg Game Framework for Priority-Aware Dynamic Pricing and Load Scheduling","authors":"Syed Ashraf Ali, Sohail Imran Saeed, Sanaullah Ahmad, Muhammad Waqas, Syed Haider Ali, Dilawar Shah, Shujaat Ali, Muhammad Tahir","doi":"10.1002/eng2.70341","DOIUrl":"https://doi.org/10.1002/eng2.70341","url":null,"abstract":"Modern power systems face increasing complexity due to fluctuating demand and the intermittent nature of renewable energy sources. To address these challenges, this paper introduces a novel Stackelberg game-theoretic framework for intelligent demand response (DR) in smart grids. Our approach models hierarchical interaction between energy providers (leaders) and consumers (followers), incorporating priority-aware load scheduling and real-time feedback loops. Consumers are classified into priority and non-priority categories. A Markov chain-based behavior model captures stochastic user adaptation, enabling dynamic price adjustment. Simulations over 1, 7, and 30-day horizons in MATLAB demonstrate significant improvements: A 22% reduction in operational costs and a 15% decrease in peak-to-average ratio (PAR). The framework converges efficiently and ensures adherence to the grid capacity. These findings demonstrate the effectiveness of our adaptive and scalable solution. Unlike existing Stackelberg-based models, our approach uniquely integrates real-time feedback, priority-based user classification, and a stochastic Markov behavior model to enhance pricing responsiveness, grid reliability, and fairness across diverse consumer types.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Methodological Study on Expanding the Microarchitectural Design Space of Melt Electrowriting 拓展熔融电子书写微架构设计空间的方法学研究

IF 2

Engineering reports : open access Pub Date : 2025-08-16 DOI: 10.1002/eng2.70349

Kai Cao, Yi He, Anni Wang, Yunpeng Wang, Junyi Song, Jun Zhong, Qisheng Chen, Rongwu Wang

{"title":"A Methodological Study on Expanding the Microarchitectural Design Space of Melt Electrowriting","authors":"Kai Cao, Yi He, Anni Wang, Yunpeng Wang, Junyi Song, Jun Zhong, Qisheng Chen, Rongwu Wang","doi":"10.1002/eng2.70349","DOIUrl":"https://doi.org/10.1002/eng2.70349","url":null,"abstract":"Melt electrowriting (MEW), an advanced additive manufacturing technique for fabricating microfibers, has demonstrated significant potential in tissue engineering applications. While MEW shares many similarities with fused filament fabrication (FFF), the conventional slice-filling algorithms used in FFF are ill-suited for MEW, as they fail to address the requirements for continuous toolpaths and diverse microarchitectures. While previous studies have proposed various micropatterns for specific applications, a systematic methodology for microarchitectural design is still lacking, limiting MEW's capabilities. To address this gap, three methods are proposed herein, with their unique role in diversifying the design of micropatterns. Method 1 allows the generation of continuous patterns with homogeneous microarchitectures through replication, rotation, and superimposition of one or two primary structural units. Method 2 enables the replacement of primary structural units within a continuous pattern, allowing local deformation of the microarchitecture. Method 3 applies a global deformation on the original pattern with a matrix. These methods, when used individually or in combination, can significantly expand the microarchitectural design space, thereby enhancing the versatility and application scope of MEW in tissue engineering.","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.70349","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144853739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0