Advanced Theory and Simulations最新文献

Multiphysics Modeling and Optimization of High‐Efficiency Lead‐Free CH 3 NH 3 SnBr 3 Perovskite Solar Cells 高效无铅ch3 nh3 snbr3钙钛矿太阳能电池的多物理场建模与优化

IF 3.3 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-23 DOI: 10.1002/adts.70399

Virender Singh, Nitika Grover, Pankaj B. Agarwal, Pankaj Arora

{"title":"Multiphysics Modeling and Optimization of High‐Efficiency Lead‐Free CH 3 NH 3 SnBr 3 Perovskite Solar Cells","authors":"Virender Singh, Nitika Grover, Pankaj B. Agarwal, Pankaj Arora","doi":"10.1002/adts.70399","DOIUrl":"https://doi.org/10.1002/adts.70399","url":null,"abstract":"Traditional perovskite solar cells (PSCs) based on lead (Pb) halides have achieved high power conversion efficiencies due to their excellent optical and electrical properties. However, their large‐scale application is limited by concerns about lead toxicity and stability. In this work, a comprehensive 3D multiphysics modeling framework is developed for Pb‐free PSCs using methylammonium tin bromide (CH 3 NH 3 SnBr 3 ) as the absorber layer, integrating optical, electrical, and thermal effects, an aspect rarely addressed in existing tin‐based studies. Device performance is analyzed using COMSOL Multiphysics (3D) and SCAPS‐1D by optimizing key parameters, including absorber thickness, doping concentration, defect densities, and resistive losses. Among various configurations, the structure FTO/ZnO/CH 3 NH 3 SnBr 3 /CuI/Au shows optimal performance, delivering a current density of 31.12 mA/cm 2 , an open‐circuit voltage of 1.13 V, a fill factor of 88.86%, and a power conversion efficiency of 31.34% under ideal conditions. Additionally, thermal effects such as non‐radiative recombination and Joule heating are investigated to understand internal heat generation and its influence on device behavior. The proposed approach demonstrates improved performance compared to prior numerical studies and provides deeper physical insight, offering a pathway toward efficient, environmentally friendly tin‐based PSCs, while underscoring the need for experimental validation.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"10 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Broadband, High‐Efficiency, and Polarization‐Insensitive Transmissive Microwave Metasurface With Multi‐Layer Hollow Structure for Generating OAM Beams 宽带、高效率、极化不敏感的多层空心结构微波超表面，用于产生OAM光束

IF 3.3 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-21 DOI: 10.1002/adts.70396

Ling Wang, Feng Gao, Shuhua Teng, Zhiguo Tan, Yang Yang

{"title":"Broadband, High‐Efficiency, and Polarization‐Insensitive Transmissive Microwave Metasurface With Multi‐Layer Hollow Structure for Generating OAM Beams","authors":"Ling Wang, Feng Gao, Shuhua Teng, Zhiguo Tan, Yang Yang","doi":"10.1002/adts.70396","DOIUrl":"https://doi.org/10.1002/adts.70396","url":null,"abstract":"Extensive research on metasurfaces has been conducted in recent years. However, most existing metasurfaces, especially those of the transmissive microwave type, suffer from narrow bandwidth, low efficiency, or polarization sensitivity. A novel transmissive microwave metasurface is proposed that achieves broadband, high‐efficiency, and polarization‐insensitive performance. The unit cell features a multi‐layer hollow structure. Simulation results show that the unit cell exhibits a transmittance above 0.7 over the frequency range of 30 to 36 GHz, with a maximum exceeding 0.9. For both left‐handed circularly polarized (LCP) and right‐handed circularly polarized (RCP) incident waves, the unit cell provides full 0 to 2π abrupt phase coverage with consistent phase response, ensuring broadband and polarization‐insensitive operation. To validate the design, an orbital angular momentum (OAM) metasurface is constructed using the proposed unit cells. Simulation results demonstrate that the metasurface can generate four OAM beams with distinct topological charges and deflection directions when subjected to incident waves with arbitrary polarization. This work offers a promising approach for realizing broadband, high‐efficiency, and polarization‐insensitive transmissive microwave metasurfaces, with potential applications in high‐speed wireless communication systems.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"6 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating Tree‐Based Models Across Positive–Unlabeled Learning Frameworks for Crystal Synthesizability Prediction 研究基于树的模型跨正无标记学习框架用于晶体可合成性预测

IF 3.3 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-20 DOI: 10.1002/adts.70395

Ayhan Aydın, Ümit Kaya Eryılmaz, Onur Bahattin Alkan, Pınar Kocagöz, Koray Açıcı, Fatih Ekinci, Mehmet Serdar Güzel

{"title":"Investigating Tree‐Based Models Across Positive–Unlabeled Learning Frameworks for Crystal Synthesizability Prediction","authors":"Ayhan Aydın, Ümit Kaya Eryılmaz, Onur Bahattin Alkan, Pınar Kocagöz, Koray Açıcı, Fatih Ekinci, Mehmet Serdar Güzel","doi":"10.1002/adts.70395","DOIUrl":"https://doi.org/10.1002/adts.70395","url":null,"abstract":"The computational prediction of crystal synthesizability remains a major challenge in data‐driven materials discovery, as most entries in large materials databases correspond to theoretical structures without experimental validation. This asymmetry creates a learning scenario in which only experimentally synthesized crystals are reliably labeled, while most structures remain unlabeled and ambiguous. In this work, crystal synthesizability prediction is formulated within a Positive–Unlabeled (PU) learning framework rather than as a conventional binary classification problem. We benchmark nine PU learning strategies combined with four tree‐based machine learning models, including Random Forest, LightGBM, XGBoost, and CatBoost, using approximately 130 000 crystal structures from the Materials Project database. After physically consistent data preprocessing and feature selection, model performance is evaluated using discovery‐oriented metrics, with Precision@200 as the primary criterion. The results show that PU formulations outperform naïve classification approaches in early‐stage discovery, enabling more reliable prioritization of experimentally synthesizable materials. Model explanation analysis reveals that thermodynamic stability, formation energy, structural compactness, and magnetic descriptors dominate the learned decision mechanisms. Overall, this study provides a comparative evaluation of PU learning strategies and demonstrates their effectiveness as a discovery‐oriented framework for identifying experimentally viable crystal structures.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147720063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual High-Order Orbital Angular Momentum Modes Generation Based on Spoof Surface Plasmon Polaritons With In-Phase Excitation 基于同相激励欺骗表面等离子激元的双高阶轨道角动量模式生成

IF 3.3 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-13 DOI: 10.1002/adts.202502080

Hao Feng, Jiahui Fu, Qunhao Zhang, Kuang Zhang, Shah Nawaz Burokur

{"title":"Dual High-Order Orbital Angular Momentum Modes Generation Based on Spoof Surface Plasmon Polaritons With In-Phase Excitation","authors":"Hao Feng, Jiahui Fu, Qunhao Zhang, Kuang Zhang, Shah Nawaz Burokur","doi":"10.1002/adts.202502080","DOIUrl":"https://doi.org/10.1002/adts.202502080","url":null,"abstract":"A method for generating dual high-order orbital angular momentum (OAM) modes by integrating spoof surface plasmon polariton (SSPPs) and spoof localized surface plasmon (SLSPs) is proposed. The proposed design consists of <i>N</i> rotationally arranged SSPP waveguides periodically loaded with SLSP patches, which enables broadband circularly polarized (CP) radiation and introduces a dynamic phase. Unlike conventional approaches that rely on excitation phase control and complex feeding networks, the proposed method utilizes dynamic and geometric phases to synthesize the required phase distribution for high-order OAM modes, thereby eliminating the need for phase-shifting networks. Moreover, exploiting the leaky-wave theory, dual high-order OAM modes with <i>l</i> = −<i>N </i>+ 1 and <i>l</i> = <i>N </i>+ 1 are generated by varying the frequency to alter the dynamic phase. The experimental results confirm that the proposed device is capable of generating high-order <i>l</i> = −7 and <i>l</i> = +9 OAM modes at 9.7 and 13.0 GHz, with gains (divergence angles) of 8.4 dBic (33°) and 5.6 dBic (23°), respectively. This work provides a phase-network-free solution for dual high-order OAM generation with frequency-controlled mode switching, demonstrating potential for applications in sensing, radar detection, and mode-division multiplexing systems for wireless communications.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"65 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147666713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasensitive Mid-Infrared Biosensor Created by Graphene-Driven Gold Metasurface: Theoretical Insight 由石墨烯驱动的金超表面创建的超灵敏中红外生物传感器：理论见解

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-10 DOI: 10.1002/adts.70390

Yan Chen, Xiaoyong He, Junhui Hu, Yuanpeng Li, Yufeng Yuan

{"title":"Ultrasensitive Mid-Infrared Biosensor Created by Graphene-Driven Gold Metasurface: Theoretical Insight","authors":"Yan Chen, Xiaoyong He, Junhui Hu, Yuanpeng Li, Yufeng Yuan","doi":"10.1002/adts.70390","DOIUrl":"10.1002/adts.70390","url":null,"abstract":"<div>\u0000 \u0000 <p>This study theoretically proposed an ultrasensitive mid-infrared biosensor named graphene-driven gold metasurface, generating strong quasi-bound states in the continuum (QBIC) resonant model. The graphene-driven gold metasurface was composed of a periodically arranged array of units, and each array unit (3 µm) was designed by stacking various thicknesses of graphene layers within the gap of two parallel gold pillars onto a plasmonic gold film (0.1 µm). Via modulating the relative height ratio (h<sub>1</sub>/h<sub>2</sub>) between the height (h1) of two gold pillars and the thickness (h<sub>2</sub>) of graphene layers, the strong QBIC resonant was excited. As the geometric asymmetry was 3, the graphene-driven gold metasurface can provide a high quality factor (Q-factor) of 739, achieving an ultra-high detection sensitivity of 37.8 THz/RIU (refractive index unit, RIU). For a tiny refractive index variation in the targeted analyte layer, our proposed biosensor exhibited an excellent linear response and a theoretical limit of detection of 2 × 10<sup>−4</sup> RIU. Using sperm cells as targeted analytes, two linear correlation curves, including resonance frequency vs. refractive index and resonance frequency vs. concentration, were established, enabling to perform detection of sperm cells as low as 10<sup>3</sup> cells per milliliter. Our proposal suggested that the graphene-driven gold metasurface could offer a possible pathway for screening reproductive health.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147649259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Physics Metasurface Inverse Design With Cross-Domain Invariant Feature 具有跨域不变性特征的多物理场超表面逆设计

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-10 DOI: 10.1002/adts.70391

Jiaheng Liu, Ouling Wu, Guangming He, Guangfeng You, Hongsheng Chen, Chao Qian

{"title":"Multi-Physics Metasurface Inverse Design With Cross-Domain Invariant Feature","authors":"Jiaheng Liu, Ouling Wu, Guangming He, Guangfeng You, Hongsheng Chen, Chao Qian","doi":"10.1002/adts.70391","DOIUrl":"10.1002/adts.70391","url":null,"abstract":"<div>\u0000 \u0000 <p>Deep learning has recently reshaped the landscape of metasurface inverse design by creating a simulation agent from electromagnetic response to structural configuration. Despite significant progress in transfer learning, the inverse design across different physical fields remains challenging due to substantial domain discrepancies. Here, we propose a transfer-learning-assisted inverse design framework that leverages multiple-kernel maximum mean discrepancy (MK-MMD) to bridge the distribution gap between electromagnetic and acoustic fields. By enforcing feature alignment through MK-MMD, the model learns domain-invariant representations, effectively mitigating the design space mismatch between electromagnetic and acoustic metasurfaces. Using electromagnetic metasurfaces as the source domain, our approach successfully transfers knowledge to acoustic metasurface design, enabling high-precision phase-modulation control with merely 150 target-domain samples. Compared to existing methods, our framework reduces the mean squared error (MSE) by over 50% and lowers the data requirements by more than 40%. Our work establishes a sustainable and efficient inverse design framework for multi-physics metasurfaces, paving the way for intelligent adaptive cross-physical-field meta-devices.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147649261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strain-Dependent Electronic, Optical, and Thermoelectric Properties of ZnX2Z4 (X = Sc, Y; Z = S, Se) Spinel Compounds from First-Principles Calculations znx2z4 （X = Sc， Y; Z = S, Se）尖晶石化合物的应变依赖电子、光学和热电性质

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-09 DOI: 10.1002/adts.70389

Ubaid Ur Rahman, Ahmed B. M. Ibrahim, Mohamed A. Habib, Khalid I. Anojaidi, Waleed A. Al-Suwaylih, Mohamemd A. Al-Suwaylih, Shamim Khan, Ghulam Murtaza

{"title":"Strain-Dependent Electronic, Optical, and Thermoelectric Properties of ZnX2Z4 (X = Sc, Y; Z = S, Se) Spinel Compounds from First-Principles Calculations","authors":"Ubaid Ur Rahman, Ahmed B. M. Ibrahim, Mohamed A. Habib, Khalid I. Anojaidi, Waleed A. Al-Suwaylih, Mohamemd A. Al-Suwaylih, Shamim Khan, Ghulam Murtaza","doi":"10.1002/adts.70389","DOIUrl":"10.1002/adts.70389","url":null,"abstract":"<div>\u0000 \u0000 <p>This study employs density functional theory (DFT) to investigate the strain-dependent electronic, optical, and thermoelectric properties of ZnX<sub>2</sub>Z<sub>4</sub> (X = Sc, Y; Z = S, Se) spinel compounds. The band structure analyses reveal that all compounds possess direct bandgaps at the Γ point, with tensile strain widening and compressive strain narrowing the gaps. The results are in excellent agreement with the recent works. Zn-<i>d</i> states occupy the semicore states, S/Se-<i>p</i> states occupy the valence band while Sc/Y-d states occupy the condition bands. Prominent optical structures in the visible to UV region highlights the usefulness of these materials for the optoelectronic applications. Thermoelectric properties demonstrate temperature dependent and strain depended Seebeck coefficient, thermal and electrical conductivities, and figure of merit. High figure of merit upto 0.78 show their high waste heat conversion efficiency.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147655889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Deep Learning Framework for Ebola Transmission Dynamics Incorporating Deceased and Hospitalized Individuals With Real Data 数据驱动的埃博拉传播动态深度学习框架，将死者和住院患者与真实数据结合起来

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-08 DOI: 10.1002/adts.70388

Yuzhen Wang, Jiao Zhang, Muhammad Farhan, Saif Ullah, Sabila, Muhammad Asim

{"title":"Data-Driven Deep Learning Framework for Ebola Transmission Dynamics Incorporating Deceased and Hospitalized Individuals With Real Data","authors":"Yuzhen Wang, Jiao Zhang, Muhammad Farhan, Saif Ullah,  Sabila, Muhammad Asim","doi":"10.1002/adts.70388","DOIUrl":"10.1002/adts.70388","url":null,"abstract":"<div>\u0000 \u0000 <p>In this study, a nonlinear model for Ebola disease is developed incorporating transmission from both hospitalized and deceased individuals. A comprehensive mathematical analysis of the model is conducted. For a numerical solution, we design a robust neuro-computing framework based on a deep neural network (DNN) approach. The standard fourth-order Runge-Kutta scheme is employed as a benchmark to generate high-fidelity training data for DNN. The model is calibrated using weekly reported case data from Sierra Leone, one of the most severely affected countries during the 2015-2016 Ebola outbreaks. Model parameters are estimated using least-squares optimization via the least_squares function in the scipy.optimize module. Numerical results are validated through convergence analysis, error distribution, and regression-based performance metrics under five cases using different sets of control parameters. The proposed methodology yields solutions that align precisely with benchmark data achieving a least absolute error of <span></span><math>\u0000 <semantics>\u0000 <msup>\u0000 <mn>10</mn>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>10</mn>\u0000 </mrow>\u0000 </msup>\u0000 <annotation>$10^{-10}$</annotation>\u0000 </semantics></math>. The DNN architecture consists of three hidden layers with 10, 100, and 10 neurons each with the implementation of Tanh and ReLU activation functions. We believe that the integration of DNN with these activation functions in its hidden layers to study Ebola is a novel attempt at infectious disease modeling offering a powerful framework for epidemic prediction and control.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147641463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Density Functional Theory Insights Into Seawater Splitting: Current Progress and Future Perspectives for Catalyst Design 密度泛函理论对海水分裂的见解：催化剂设计的当前进展和未来展望

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-07 DOI: 10.1002/adts.70380

Meena Rittiruam, Allan Abraham Padama, Wilson Agerico Diño

{"title":"Density Functional Theory Insights Into Seawater Splitting: Current Progress and Future Perspectives for Catalyst Design","authors":"Meena Rittiruam, Allan Abraham Padama, Wilson Agerico Diño","doi":"10.1002/adts.70380","DOIUrl":"10.1002/adts.70380","url":null,"abstract":"<div>\u0000 \u0000 <p>Hydrogen generation from seawater splitting has attracted increasing attention as a sustainable approach to achieve large-scale, carbon-neutral energy conversion while alleviating freshwater scarcity. However, the presence of chloride and other ions introduces side reactions, corrosion, and scaling that hinder catalytic performance and stability. In recent years, density functional theory (DFT) has become a key tool for understanding these challenges and guiding the rational design of efficient and durable catalysts. This review provides a comprehensive overview of DFT-based research on seawater splitting, including statistical trends, representative findings, and emerging theoretical directions. Most DFT studies focus on Gibbs free energy analyses for oxygen, hydrogen, and chlorine evolution reactions, while others explore electronic properties such as density of states, d-band center, and charge distribution. Theoretical results have clarified mechanisms underlying OER selectivity, Cl-evolution-reaction suppression, and corrosion resistance, complementing experimental insights. Finally, the review identifies major gaps in current modeling approaches, such as the lack of explicit solvent, dynamic stability, and ion effects, and outlines perspectives for integrating solvation and kinetics to enable rational catalyst design.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147630863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

THz Photonic Crystal Fiber Sensor With High Sensitivity for Distinguishing Malaria Developmental Stages via Refractive Index Contrast and Machine Learning 基于折射率对比和机器学习的高灵敏度太赫兹光子晶体光纤传感器用于区分疟疾发育阶段

IF 2.9 4区工程技术

Advanced Theory and Simulations Pub Date : 2026-04-07 DOI: 10.1002/adts.70386

Dana N. Alhamss, Saleh Chebaane, Sana Ben Khalifa, Norah A.M. Alsaif, Sofyan A. Taya

{"title":"THz Photonic Crystal Fiber Sensor With High Sensitivity for Distinguishing Malaria Developmental Stages via Refractive Index Contrast and Machine Learning","authors":"Dana N. Alhamss, Saleh Chebaane, Sana Ben Khalifa, Norah A.M. Alsaif, Sofyan A. Taya","doi":"10.1002/adts.70386","DOIUrl":"10.1002/adts.70386","url":null,"abstract":"<div>\u0000 \u0000 <p>Diagnosing malaria necessitates quick and precise recognition of the infection's stage, since the refractive index (RI) of red blood cells varies during the parasite's life cycle. This research introduces a terahertz (Thz) photonic crystal fiber (PCF) sensor intended to identify these refractive index changes that depend on the stage. The sensor, designed with the finite element method in COMSOL Multiphysics, functions in the 1.0–2.5 THz range and exhibits high modal confinement while minimizing confinement and material losses. At 2.5 THz, the structure attains a high relative sensitivity of 99.937% for the Normal stage in y-polarization, surpassing earlier reported THz PCF sensors. The design additionally demonstrates outstanding power confinement and an appropriate effective mode area. Moreover, the sensor works well with practical manufacturing methods like 3D printing and extrusion. Machine learning analysis further validated the sensor's capability by accurately classifying malaria stages based on the derived PCF optical features. These results suggest that the proposed PCF provides an exceptionally sensitive and practical platform for label-free identification of malaria stages.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147641460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0