Christian Willberg, Jan‐Timo Hesse, Felix Winkelmann, Robert Hein
{"title":"Peridynamic Framework to Model Additive Manufacturing Processes","authors":"Christian Willberg, Jan‐Timo Hesse, Felix Winkelmann, Robert Hein","doi":"10.1002/adts.202400818","DOIUrl":"https://doi.org/10.1002/adts.202400818","url":null,"abstract":"The study presents a framework for analyzing Additive Manufacturing processes within the Peridynamics (PD) software <jats:styled-content>PeriLab</jats:styled-content>. This framewor k employs a mesh‐free, point‐based numerical approach to approximate the continuum PD equations. Implemented within this framework are thermal, thermo‐mechanical, and simple additive models. These models have been validated against analytical solutions, Finite Element (FE) models, and <jats:styled-content>Peridigm</jats:styled-content> simulations. To leverage the PD mesh‐free implementation, the study introduces a novel boundary detection algorithm. This algorithm is essential because the outer surface area may change during the manufacturing process. It operates without requiring surface or topology information, relying instead on the comparison of neighborhood volume to sphere volume. Additionally, the study introduces a wrapper that generates the mesh necessary for simulating the printing process, based on the G‐code machine input path. Finally, the study presents a comprehensive analysis of an L‐shaped profile utilizing the developed features, comparing the results with those obtained from an <jats:styled-content>Abaqus</jats:styled-content> solution.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"36 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597416","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}
Jan David Fischbach, Fridtjof Betz, Nigar Asadova, Pietro Tassan, Darius Urbonas, Thilo Stöferle, Rainer F. Mahrt, Sven Burger, Carsten Rockstuhl, Felix Binkowski, Thomas Jebb Sturges
{"title":"A Framework to Compute Resonances Arising from Multiple Scattering","authors":"Jan David Fischbach, Fridtjof Betz, Nigar Asadova, Pietro Tassan, Darius Urbonas, Thilo Stöferle, Rainer F. Mahrt, Sven Burger, Carsten Rockstuhl, Felix Binkowski, Thomas Jebb Sturges","doi":"10.1002/adts.202400989","DOIUrl":"https://doi.org/10.1002/adts.202400989","url":null,"abstract":"Numerous natural and technological phenomena are governed by resonances. In nanophotonics, resonances often result from the interaction of several optical elements. Controlling these resonances is an excellent opportunity to provide light with properties on demand for applications ranging from sensing to quantum technologies. The inverse design of large, distributed resonators, however, is typically challenged by high computational costs when discretizing the entire system in space. Here, this limitation is overcome by harnessing prior knowledge about the individual scatterers that form the resonator and their interaction. In particular, a transition matrix multi‐scattering framework is coupled with the state‐of‐the‐art adaptive Antoulas–Anderson (AAA) algorithm to identify complex poles of the optical response function. A sample refinement strategy suitable for accurately locating a large number of poles is introduced. The AAA algorithm is tied into an automatic differentiation framework to efficiently differentiate multi‐scattering resonance calculations. The resulting resonance solver allows for efficient gradient‐based optimization, demonstrated here by the inverse design of an integrated exciton‐polariton cavity. This contribution serves as an important step towards efficient resonance calculations in a variety of multi‐scattering scenarios, such as inclusions in stratified media, periodic lattices, and scatterers with arbitrary shapes.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"47 45 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597479","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}
{"title":"Improved Verilog‐A Based Artificial Neural Network Modeling Applied to GaN HEMTs","authors":"Anwar Jarndal, Md Hasnain Ansari, Kassen Dautov, Eqab Almajali, Yogesh Singh Chauhan, Sohaib Majzoub, Soliman A. Mahmoud, Talal Bonny","doi":"10.1002/adts.202400645","DOIUrl":"https://doi.org/10.1002/adts.202400645","url":null,"abstract":"This study presents a novel approach to implementing an artificial neural network (ANN) model for simulating high electron mobility transistors (HEMTs) in Keysight ADS through integrating Verilog‐A coding. It streamlines the realization of ANN models characterized by diverse complexities and layer structures. The proposed method is demonstrated by developing nonlinear models for GaN HEMT on two distinct substrates. GaN‐on‐Si and GaN‐on‐SiC with respective and gate widths are characterized by S‐parameters at a grid of gate and drain bias conditions. The intrinsic gate capacitance and conductances are extracted from the de‐embedded S‐parameters, which are then integrated to find the gate charges and currents. The drain current with the inherent self‐heating and trapping effects is modeled based on the pulsed IV measurement at well‐defined quiescent voltages. Subsequently, the related ANN models of these nonlinear elements are interconnected to form the intrinsic part of the large‐signal model. This intrinsic part with all ANN sub‐models is then completely implemented using a Verilog‐A‐based code. The whole ANN large‐signal model is then validated by single‐ and two‐tone radio frequency large‐signal measurements, which shows a perfect fitting with a high convergence rate. The overall simulation time is five times reduced when the developed Verilog‐A‐based ANN is used instead of the table‐based model. Overall, the large‐signal Verilog‐A‐based ANN model exhibits an improved performance enhancement compared to the conventional table‐based models. This indicates the practical viability of the Verilog‐A integration technique in modeling the nonlinear GaN HEMTs.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"22 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597480","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}
{"title":"Probing Optoelectronic Properties of Stable Vacancy‐Ordered Double Perovskites: Insights from Many‐Body Perturbation Theory","authors":"Surajit Adhikari, Priya Johari","doi":"10.1002/adts.202400921","DOIUrl":"https://doi.org/10.1002/adts.202400921","url":null,"abstract":"vacancy‐ordered double perovskites (VODPs) have captured substantial research interest in the scientific community as they offer environmentally friendly and stable alternatives to lead halide perovskites. In this study, the investigation is focused on (B = Ti, Se, Ru, Pd) VODPs as promising optoelectronic materials employing state‐of‐the‐art first‐principles‐based methodologies, specifically density functional theory combined with density functional perturbation theory (DFPT) and many‐body perturbation theory (within the framework of GW and BSE). These calculations reveal that all these materials possess a cubic lattice structure and are both dynamically and mechanically stable. Interestingly, they all exhibit indirect bandgaps, except displays a metallic character. The bandgap values for these compounds fall within the range of 3.63 to 5.14 eV. Additionally, the results of the BSE indicate that they exhibit exceptional absorption capabilities across the near‐UV to mid‐UV light region. Furthermore, studies on transport and excitonic properties suggest that they exhibit lower effective electron masses compared to holes, with exciton binding energies spanning between 0.16 and 0.98 eV. A significant observation is the prevalent hole‐phonon coupling compared to electron‐phonon coupling in these compounds. Overall, this study provides valuable insights to guide the design of vacancy‐ordered double perovskites as promising lead‐free candidates for future optoelectronic applications.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"70 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597418","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}
{"title":"Improving Signal‐to‐Noise Ratio of 1.5T MRI Scans Using High‐Q Resonators Based on Coupled Octa‐Spirals","authors":"Jegyasu Gupta, Ratnajit Bhattacharjee, Subramani Kanagaraj, Debabrata Sikdar","doi":"10.1002/adts.202400848","DOIUrl":"https://doi.org/10.1002/adts.202400848","url":null,"abstract":"Metamaterials or metamaterial‐inspired structures/resonators have yielded significant advancement in the imaging capabilities of Magnetic Resonance Imaging (MRI) by boosting its performance parameter, i.e., signal‐to‐noise ratio (SNR). Metamaterials have a distinctive ability to boost and redistribute magnetic fields inside the subject undergoing scan when integrated as accessories between receive arrays and the subject. However, the translation of most reported metamaterials into a clinical accessory is still limited and challenging due to their low sensitivity, sub‐optimal performance, and bulky footprints for integration inside MRI scanners. Herein, a metamaterial‐inspired structure is developed using coupled octa‐spiral resonators to boost magnetic field localization inside the scanned region. In addition, the high‐Q resonance of the metamaterial‐inspired structure improves impedance matching and enhances the transmit/receive efficiency of MRI coils. Theoretical analysis of electromagnetic responses and full‐wave simulations show a homogeneous boost in SNR by over times throughout a human‐properties mimicking phantom using the resonator with a maximum SNR enhancement factor (EF) of . The spatial distribution of SNR EF inside the phantom is also validated by preliminary laboratory experiments. Thus, the developed coupled octa‐spirals resonator can pave the way for developing and adopting metamaterial‐inspired devices as clinical accessories for facilitating better, faster, and cost‐effective MRI scans.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"150 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597417","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}
{"title":"Mathematical Exploration of Malaria Transmission Dynamics: Insights from Fractional Models and Numerical Simulation","authors":"Souad Bounouiga, Bilal Basti, Noureddine Benhamidouche","doi":"10.1002/adts.202400630","DOIUrl":"https://doi.org/10.1002/adts.202400630","url":null,"abstract":"This study presents an innovative mathematical model denoted as the fractional SIP(H)–SI(M) model, which aims to analyze and understand the dynamics of malaria transmission and spread. This model is distinguished by incorporating memory effects through fractional differential equations, allowing for a more accurate and realistic analysis of disease spread compared to traditional models. The proposed model is applied to Algeria by estimating its parameters using recent health data (from 2000). The results revealed that the disease-free equilibrium is stable only when the basic reproduction number is less than one, indicating that controlling the spread of malaria and possibly eradicating it can be achieved by implementing appropriate preventive measures. Simulations also demonstrated a direct correlation between the rate of infection transmission and an increase in the number of infected individuals, highlighting the need for swift action when signs of an outbreak emerge. Based on these findings, a set of preventive measures is recommended, including insecticide spraying programs, widespread distribution of insecticide-treated bed nets, and implementation of effective treatment protocols for infected individuals. This study also emphasizes the importance of continuous monitoring of health data and updating model parameters to ensure the effectiveness and sustainability of preventive measures.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"1 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589063","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}
{"title":"A New Filter Based on Sliding Mode Method with Discrete-Time Implementation for Noise Attenuation and Differentiation","authors":"Zuoping Zhao, Dongyang Li","doi":"10.1002/adts.202400835","DOIUrl":"https://doi.org/10.1002/adts.202400835","url":null,"abstract":"This paper presents a novel filter based on the sliding mode method for filtering noise and extracting reliable signals from noisy signals by enhancing Levant's sliding mode filter. Specifically, the proposed sliding mode filter takes advantage of the generalized signum function to adjust the gain in different regions of phase space, thereby decreasing the overshoot during the response phase. Additionally, the discrete-time implementation of the proposed sliding mode filter is achieved by utilizing the implicit-Euler algorithm, which effectively eliminates chattering in the output. The effectiveness of the presented sliding mode filter is substantiated via numerical simulation cases.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"19 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589067","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}
M. Prakash Raj, A. Venkatesh, K. Arun Kumar, M. Manivel
{"title":"Mathematical Modeling of the Co-Infection Dynamics of Dengue and Malaria Using Delay Differential Equations","authors":"M. Prakash Raj, A. Venkatesh, K. Arun Kumar, M. Manivel","doi":"10.1002/adts.202400609","DOIUrl":"https://doi.org/10.1002/adts.202400609","url":null,"abstract":"This study presents a comprehensive mathematical model to analyze the dynamics of co-infection between dengue and malaria using delay differential equations. The model investigates the transmission dynamics of both diseases, focusing on the stability of equilibrium points and the basic reproductive ratio, which measures the number of secondary infections caused by a single infected individual. A time-delay component is incorporated to account for the incubation periods, enhancing the model's realism. The study performs a detailed sensitivity analysis and global stability assessments, providing insights into the control and management of diseases. Numerical simulations are conducted to illustrate the effect of various transmission parameters on disease spread. This research highlights the importance of mathematical modeling in understanding co-infection dynamics and provides critical insights for public health interventions, particularly in regions where both diseases are endemic. The results emphasize the role of controlling transmission rates and the use of vector management strategies in mitigating disease outbreaks.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"10 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589066","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}
Zafari Umar, Oleg Khyzhun, Mekhrdod S. Kurboniyon, Tomoyuki Yamamoto, Mikhail G. Brik, Mega Novita, Justyna Barzowska, Michal Piasecki
{"title":"The Effect of Hydrostatic Pressure on Structure, Crystal-Field Strength, and Emission Properties of Neat and Ni2+-Activated KMgF3","authors":"Zafari Umar, Oleg Khyzhun, Mekhrdod S. Kurboniyon, Tomoyuki Yamamoto, Mikhail G. Brik, Mega Novita, Justyna Barzowska, Michal Piasecki","doi":"10.1002/adts.202400734","DOIUrl":"https://doi.org/10.1002/adts.202400734","url":null,"abstract":"To understand excellent emission and sensitivity for hydrostatic pressure luminescent ions host material, the first principles calculations carried out within density functional theory (DFT) framework are performed to clarify the electronic structure of neat and doped with Ni<sup>2+</sup> ions KMgF<sub>3</sub> single crystals. The results of band structure calculations show that F2<i>p</i> states are the principal contributors to the KMgF<sub>3</sub> valence band, mainly in its upper and central parts, while in the energy band gap of the KMgF<sub>3</sub>:Ni<sup>2+</sup> phosphor, new electronic states associated with the Ni<sup>2+</sup> 3<i>d</i>-orbitals are formed. Furthermore, the zero phonon line (ZPL) spin-forbidden transition emission energies, (<sup>3</sup>A<sub>2</sub>⇄<sup>1</sup>E) <sub>ZPL</sub>, (<sup>3</sup>A<sub>2</sub>⇄<sup>3</sup>T<sub>2</sub>) <sub>ZPL</sub>, strength of the octahedral crystal field, 10<i>Dq</i> (<sup>3</sup>A<sub>2</sub>→<sup>3</sup>T<sub>2</sub>)<sub>ZPL</sub>, are calculated for the KMgF<sub>3</sub>:Ni<sup>2+</sup> phosphor. Any changes of the <i>E<sub>m</sub></i>(<sup>3</sup>A<sub>2</sub>⇄<sup>1</sup>E)<sub>ZPL</sub> transition energy of the KMgF<sub>3</sub>:Ni<sup>2+</sup> phosphor with pressure increasing from 0 to 20 GPa are not detected, while the crystal-field strength increases linearly with increasing pressure. Present results bring a foresight tool for predicting physicochemical properties of undoped and doped wide-gap fluorides; KMgF<sub>3</sub>:Ni<sup>2+</sup>, without any toxic/harmful or expensive rare-earth can be effectively used as an optical manometer in 0–20 GPa, which covers the almost whole pressure range available at present in Diamond anvil cell experiments.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"5 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589064","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}
{"title":"Machine Learning Approaches in Advancing Perovskite Solar Cells Research","authors":"Subham Subba, Pratika Rai, Suman Chatterjee","doi":"10.1002/adts.202400652","DOIUrl":"https://doi.org/10.1002/adts.202400652","url":null,"abstract":"The integration of machine learning (ML) with perovskite solar cells (PSCs) signifies a groundbreaking era in photovoltaic (PV) technology. The traditional iterative approaches in PSC research are often time‐consuming and resource‐intensive. In contrast, ML leverages available data and sophisticated algorithms to quickly identify properties and optimize parameters for novel materials and devices. This review explores how ML‐driven approaches are improving various facets of PSCs research, including the rapid screening of novel compositions, enhancing stability, refining device architectures, and deepening the understanding of underlying physics. The paper is structured to gradually familiarize readers with essential terminologies and concepts, ensuring a solid foundation before delving into more intricate topics. A concise workflow and various introductory toolkits for ML are also briefly discussed. Through a detailed analysis of compelling case studies, a basic research framework within ML‐PSC‐integrated research is provided. This comprehensive review can serve as a valuable reference for researchers aiming to understand and leverage ML‐driven approaches in PSCs research, advancing the path for more efficient and sustainable PV technologies.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"63 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142566137","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}