Advanced Theory and Simulations最新文献

{"title":"Acetonitrile Based Hybrid Aqueous/Non‐Aqueous Electrolytes Confined in Electrified Carbon Matrices","authors":"Raúl Lois‐Cuns, Martín Otero‐Lema, Ángel Míguez‐Roel, Miguel A. Boado, Enrique Lomba, Hadrián Montes‐Campos, Trinidad Méndez‐Morales, Luis M. Varela","doi":"10.1002/adts.70599","DOIUrl":"https://doi.org/10.1002/adts.70599","url":null,"abstract":"Supercapacitors emerge as key candidates for next‐generation energy storage devices, motivating the exploration of different kinds of combinations of electrolytes and electrodes. In this study, we employed constant potential molecular dynamics simulations to investigate 21 m LiTFSI water‐in‐salt electrolytes (WiSE) with varying acetonitrile (ACN) content between two zeolite templated carbons (ZTCs), comparing them to pure WiSE. The presence of ACN was found to reduce interfacial apparent free energy barriers, enhance ionic adsorption, displace water from the electrodes and modify cation confinement, with effects in the mobility within the pores. While capacitance showed only modest gains, these effects collectively indicate that ACN‐based hybrid aqueous/non‐aqueous electrolytes paired with ZTCs can improve charge–discharge dynamics and overall the performance of the supercapacitors, offering a promising avenue for advancing supercapacitor technologies.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"12 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374218","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":"Revolutionizing Terahertz Chemical Detection: A Hybrid Octagonal Hollow‐Core PCF Sensor With Near‐Unity Sensitivity","authors":"Md. Golam Sadeque, Md Borhan Uddin, Rajkumar Biswas, A. H. M. Iftekharul Ferdous, Raju Ahmed, Md. Galib Hasan, Sajad Ali, Md. Mahbubur Rahman","doi":"10.1002/adts.70597","DOIUrl":"https://doi.org/10.1002/adts.70597","url":null,"abstract":"A high‐performance hollow‐core octagonal terahertz photonic crystal fiber (THz‐PCF) sensor is proposed for the detection of hazardous chemical compounds, with Royal Demolition Explosive (RDX) and ethanol selected as representative analytes. The proposed architecture comprises a hollow octagonal core surrounded by a hybrid cladding formed by multiple layers of circular air holes, enabling strong light–matter interaction within the analyte‐filled core. The sensor is numerically investigated using the finite element method (FEM) implemented in COMSOL Multiphysics. Structural and operating parameters are systematically optimized over the 1.3–2.0 THz frequency range. The optimized pitch and operating frequency are 270 µm and 1.8 THz, respectively. At these conditions, relative sensitivities of 99.99% for RDX and 99.93% for ethanol are achieved. The corresponding effective material losses are 9.67 × 10 <jats:sup>−</jats:sup> <jats:sup>4</jats:sup> and 1.03 × 10 <jats:sup>−</jats:sup> <jats:sup>3</jats:sup> cm <jats:sup>−</jats:sup> <jats:sup>1</jats:sup> , respectively, while the confinement loss remains on the order of 10 <jats:sup>−</jats:sup> <jats:sup>5</jats:sup> dB/m. The effective area reaches approximately 1.49 × 10 <jats:sup>−</jats:sup> <jats:sup>7</jats:sup> m <jats:sup>2</jats:sup> . The enhanced sensing performance is attributed to the octagonal hollow‐core geometry, which increases analyte–field overlap while maintaining low propagation loss. These results demonstrate the potential of the proposed THz‐PCF platform for sensitive and low‐loss detection of hazardous chemicals.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"29 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374219","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":"Prediction of Defect‐Dependent Electronic Properties in 2D TMDC Materials Using Multitask Graph Neural Networks","authors":"Amaal Ahmed, Mort Naraghi‐Pour","doi":"10.1002/adts.70593","DOIUrl":"https://doi.org/10.1002/adts.70593","url":null,"abstract":"Defects strongly influence the electronic and energetic properties of two‐dimensional transition‐metal dichalcogenides (TMDCs), but density functional theory calculations become computationally demanding when exploring large defect configuration spaces. We develop a multitask graph neural network based on Principal Neighborhood Aggregation (PNAConv) to predict the Fermi level, bandgap energy, and formation energy of defective and . The study uses 5933 configurations per material from the 2D Materials Defect database, including vacancy, substitutional, and mixed vacancy–substitutional defects. Four graph representations are evaluated by combining DFT‐relaxed or unrelaxed structures with Simple or Enriched features. Paired‐bootstrap analysis shows that structural relaxation provides more consistent improvements than feature enrichment, particularly for Fermi‐level and bandgap‐energy prediction. PNAConv is further benchmarked against SchNet, Random Forest, and CatBoost using the same fixed data partition. PNAConv achieves the lowest mean MAE for Fermi‐level and bandgap‐energy prediction for both materials, whereas Random Forest achieves the lowest mean formation‐energy MAE. A target‐aligned comparison with prior 2DMD results further places the PNAConv predictions in the same low‐error range as previously reported sparse defect‐centered models.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"23 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149374220","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":"Transparent Conducting Oxide Plasmonics: Fano-Type Graphene Coupling and Biomedical Applications","authors":"Nagih M. Shaalan,&nbsp;Samar Moustafa,&nbsp;Moustafa Ahmed,&nbsp;Osama Saber,&nbsp;Hany M. Abd El-Lateef,&nbsp;Hesham Fares","doi":"10.1002/adts.70595","DOIUrl":"https://doi.org/10.1002/adts.70595","url":null,"abstract":"<div>\u0000 \u0000 <p>Heavily doped transparent conducting oxide (TCO) nanoparticles and their Au-based core–shell hybrids provide sharp, tunable resonances across biological windows I and II (BW-I and BW-II). This study quantifies localized surface plasmon resonances, refractive-index sensitivity, and figure of merit (FOM) of Ga-doped ZnO (GZO), Al-doped ZnO (AZO), and indium tin oxide (ITO) nanospheres in aqueous media<b>. The key advance is demonstrating that bare TCOs offer competitive sensing, Au-shell coating enables spectral tuning, and graphene integration yields electrically tunable Fano resonances</b>. GZO nanoparticles exhibit narrow resonances spanning 1500–2200 nm with sensitivities up to ∼727 nm/RIU and average FOM of ∼2.5, exceeding conventional Au and Ag sensors. Coating GZO cores with ultrathin Au shells continuously blue-shifts resonance across BW-I and BW-II, yielding shell-thickness-dependent sensitivities of ∼350–500 nm/RIU and FOM values of ∼1.25–2.25 RIU⁻¹ for GZO–Au core–shell nanoparticles, rivaling noble-metal benchmarks. Monolayer graphene encapsulation promotes strong plasmon–graphene mode hybridization, producing pronounced Fano resonances. In GZO–Au–graphene structures, co-optimization of Au thickness (1–6 nm) and Fermi level (∼0.5–0.9 eV) produces sharp Fano dips electrically positioned from BW-II into BW-I. Findings establish TCO-based nanostructures as promising low-loss plasmonic platforms for deep-tissue sensing, bioimaging, photothermal therapy.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149311273","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 Guided Prediction of Band Edge Energies of Halide Double Perovskites for Design of Efficient Perovskite Solar Cells","authors":"Akmal U.K.D.M.,&nbsp;Woshitha S. Hinget,&nbsp;Arumadura A. S. De Silva,&nbsp;Walagedara G. A. Pabasara,&nbsp;Pradeep K. W. Abeygunawardhana,&nbsp;Dengwei Hu,&nbsp;Galhenage A. Sewvandi","doi":"10.1002/adts.70591","DOIUrl":"10.1002/adts.70591","url":null,"abstract":"<div>\u0000 \u0000 <p>The performance of perovskite solar cells critically depends on the accurate determination of band-edge energies, particularly the valence band maximum (VBM) and conduction band minimum (CBM), which govern charge transport and interfacial energy-level alignment. However, conventional first-principles methods such as density functional theory (DFT) are computationally expensive and hinder large-scale exploration of the vast compositional space of halide double perovskites. In this work, we develop a machine-learning-driven high-throughput framework for predicting the band-edge energies of A₂B′B″X₆ halide double perovskites using composition-based feature descriptors. Multiple supervised learning models were systematically evaluated alongside ensemble approaches across different train–test splits. Among them, the stacking ensemble model with an 85:15 split achieved the best predictive performance, with R² values of 0.8540 for VBM and 0.8619 for CBM. The trained model was subsequently applied to a combinatorial library of 5,418 candidate compositions, which was reduced to structurally feasible materials through geometric screening. Further environmental, economic, and band gap filtering yielded 4 promising lead-free double perovskite candidates suitable for photovoltaic applications. Overall, this work establishes a scalable and physically interpretable machine-learning framework for rapid band-edge prediction, significantly reducing reliance on computationally expensive DFT calculations and enabling efficient high-throughput discovery of sustainable next-generation photovoltaic materials.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149298650","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":"Unraveling Tellurium Defect-Mediated Structural Phase Stability of Monolayer MoTe2 Using Fine-Tuned Machine-Learning Interatomic Potentials","authors":"Kuk-Song Choe,&nbsp;Chol-Min Pak,&nbsp;Ruslan A. Shestopalov,&nbsp;Maria A. Kuznetsova,&nbsp;Alexey V. Ognev,&nbsp;Aleksey G. Kozlov","doi":"10.1002/adts.70596","DOIUrl":"10.1002/adts.70596","url":null,"abstract":"<div>\u0000 \u0000 <p>Monolayer molybdenum ditelluride (MoTe₂) exhibits a small energy difference between its semiconducting 2H and semimetallic 1T’ phases, enabling structural phase transitions under external perturbations such as defects, strain and temperature. However, the combined thermodynamic effects of Te defects and lattice strain at finite temperatures remain insufficiently understood. In this work, the defect-dependent phase stability of monolayer MoTe₂ is investigated using a machine-learning interatomic potential (MLIP) fine-tuned on density functional theory (DFT) training data. Helmholtz free-energy calculations reveal that both Te vacancies and Te adatoms thermodynamically stabilize the 1T’ phase relative to the 2H phase. The critical defect concentration required for 1T’ phase stabilization decreases systematically with increasing temperature, indicating strong coupling between temperature and defect-mediated phase stability. Additionally, strain and Te defects exhibit a pronounced synergistic effect: defects significantly reduce the critical strain required for the 2H-1T’ phase transition, while strain lowers the defect concentration necessary for stabilization of the 1T’ phase. These findings provide new insight into defect-mediated phase stability in MoTe₂ and establish a thermodynamic framework applicable to other transition metal dichalcogenide systems, offering practical guidance for phase-controlled synthesis and device engineering.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149292472","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":"Computational Prioritization of gC1qR Binding Candidates at the C1q Interaction Surface","authors":"Ibrahim Maher, Ibrahim Khater, Mona H. Ibraheim","doi":"10.1002/adts.70589","DOIUrl":"https://doi.org/10.1002/adts.70589","url":null,"abstract":"Cancer cells evade complement‐mediated immune clearance by secreting the receptor gC1qR, which binds C1q and inhibits classical pathway activation. Disrupting the C1q‐gC1qR interaction offers a novel immunotherapeutic strategy to restore antitumor immunity. Here, we conducted an in silico study to characterize the C1q‐gC1qR interface and identify small‐molecule candidates. Protein‐protein docking and MM/GBSA calculations revealed hydrogen bonds and identified Lys173 and Lys200 on C1q as critical hotspot residues, with a binding free energy of −107.79 kcal/mol. Pharmacophore models were generated using ZINCPharmer, screening 3465 ligands from the ZINC database. A 2D‐QSAR model was established using PaDEL descriptors and multiple linear regression on a dataset of 123 ligands, divided into a training set ( <jats:italic>n</jats:italic> = 86, R <jats:sup>2</jats:sup> = 0.886) and a test set ( <jats:italic>n</jats:italic> = 37, R <jats:sup>2</jats:sup> = 0.837) for prediction. Re‐docking with AutoDock Vina prioritized two compounds, ZINC95486185 and ZINC95486376, exhibiting binding affinities of −8.98 ± 0.4 kcal/mol and −8.90 ± 0.06 kcal/mol, respectively. PLIP analysis demonstrated hydrophobic interactions with gC1qR residues Ala81, Phe82, Phe85, and Asp88. ADMET profiling indicated pharmacokinetics, non‐mutagenicity, and low solubility, suggesting parenteral administration. 100‐ns molecular dynamics simulations demonstrated the structural stability of ZINC95486376, highlighting it as a promising candidate for restoring complement‐dependent antitumor immunity.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"37 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149292473","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":"Performance Optimization of a Kretschmann-Configured Multilayer MgO/Ag/HfO2/2D-WS2 SPR Biosensor for Refractive Index-Based Cancer Cell Detection: A TMM and FEM Approach","authors":"Deepak Garg,&nbsp;Ajeet Kumar,&nbsp;Saurabh Mani Tripathi","doi":"10.1002/adts.70590","DOIUrl":"10.1002/adts.70590","url":null,"abstract":"<div>\u0000 \u0000 <p>Cancer remains a major global health burden, causing millions of deaths each year. Therefore, the development of rapid and efficient diagnostic methods is necessary to facilitate effective management and control. In this study, a computational study of a highly sensitive Kretschmann-configured surface plasmon resonance (SPR) based biosensor is presented for detection of cancerous cells. The proposed biosensor is made up of a multilayer structure comprising a BK7 prism, magnesium oxide (MgO) as an adhesive layer, silver (Ag) as the plasmonic material, hafnium dioxide (HfO₂) as the dielectric layer, and a two-dimensional (2D) material, tungsten disulfide (WS₂), to enhance optical performance. Performance metrics were analyzed for sensitivity using the transfer matrix method (TMM) in MATLAB (R2018b), with results validated by the finite element method (FEM) in COMSOL Multiphysics. Optimization of the thicknesses of different layers yielded maximum sensitivity values of 364.28, 320.83, and 245 deg/RIU for the Jurkat, HeLa, and Basal cells, respectively. Furthermore, the proposed biosensor performs well across a wide refractive index range of 1.30–1.39, achieving a linear coefficient of determination (R²) value of 0.9679. The proposed biosensor can serve as a promising candidate for efficient cancer cell detection, as well as for various sensing applications.</p>\u0000 </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149251161","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":"Distribution Functions and Moments of Harmonically Trapped Inertial Run-and-Tumble Particles in a Shear-Thickening Medium","authors":"Subhanker Howlader,&nbsp;Prasenjit Das","doi":"10.1002/adts.70587","DOIUrl":"10.1002/adts.70587","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;We study the dynamics of an athermal inertial active particle confined in a harmonic potential and moving through shear-thickening media in one dimension. The activity is modeled using a symmetric dichotomous noise of strength &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mi&gt;Σ&lt;/mi&gt;\u0000 &lt;annotation&gt;$Sigma$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; and flipping rate &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mi&gt;λ&lt;/mi&gt;\u0000 &lt;annotation&gt;$lambda$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, which mimics a run-and-tumble particle. The shear-thickening response of the medium is incorporated through a velocity-dependent viscous force of the form &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;g&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;v&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;mo&gt;∼&lt;/mo&gt;\u0000 &lt;mi&gt;tan&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;v&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$g(v)sim tan (v)$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;. Starting from the Fokker–Planck equations corresponding to the particle's dynamics, we numerically compute the time-dependent joint probability density function &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;f&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;,&lt;/mo&gt;\u0000 &lt;mi&gt;v&lt;/mi&gt;\u0000 &lt;mo&gt;,&lt;/mo&gt;\u0000 &lt;mi&gt;t&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$f(x,v,t)$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; using a &lt;i&gt;finite-volume upwind scheme&lt;/i&gt;. Next, we numerically solve the particle's equations of motion to obtain the steady-state position &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;P&lt;/mi&gt;\u0000 &lt;mi&gt;s&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$P_s(x)$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; and velocity &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;W&lt;/mi&gt;\u0000 &lt;mi&gt;s&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;v&lt;/mi&gt;\u0000 &lt;mo&gt;)&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$W_s(v)$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; distributions, and compare them with the marginal distributions obtained from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;f&lt;/mi&gt;\u0000 &lt;mo&gt;(&lt;/mo&gt;\u0000 &lt;mi&gt;x&lt;/mi&gt;\u0000 ","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149251160","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":"Issue Information (Adv. Theory Simul. 11/2026)","authors":"","doi":"10.1002/adts.70594","DOIUrl":"10.1002/adts.70594","url":null,"abstract":"","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 11","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adts.70594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149274894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}