Insight into Anticorrosion Mechanism of Ampicillin on Mild Steel in Acidic Environment: A Combined Experimental and Theoretical Approach by Tuan Dinh, Nguyen Minh Thong, Dinh Quy Huong, Trinh Le Huyen, Tran Duc Manh, Phan Tu Quy, Tran Xuan Mau, Pham Cam Nam

“…Some important chemical factors such as EHOMO (highest occupied molecular orbital energy), ELUMO (lowest unoccupied molecular orbital energy), ΔEL−H (energy gap), and Fukui functions were calculated based on the optimized configuration of AMP at the theoretical level of B3LYP/6-31+G(d,p). Moreover, Monte Carlo and molecular dynamics simulations were used to analyze the absorption behavior of inhibitor on the surface of Fe(110), which supplies the mechanism of inhibition corrosion processes. …”
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Short-Circuit Characteristic Analysis Model and Real-time Risk Assessment of Protection Considering Uncertainties of New Energy Output by LIANG Yuansheng, XU Zheng, LI Haifeng, WANG Gang, CHEN Haoyong, LI Jia

“…Finally， a PSCAD simulation model is constructed to verify the accuracy of the short-circuit calculation model considering LVRT control. Based on Monte Carlo sampling， the probability of the adequacy of protection actions based on the random response surface method and its equivalent effect were verified. …”
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Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator by Mohamed H. Hassan, Salah Kamel, José Luis Domínguez‐García, Reagan Jean Jacques Molu

“…To improve the efficiency of the proposed technique and enhance its local exploitation capability, the LEO method's selection features are utilized. Monte Carlo methods are employed to estimate the generation costs of the renewable sources and PEVs and study their feasibility. …”
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Underlying-event studies with strange hadrons in pp collisions at $$\sqrt{s} = 13$$ s = 13 TeV with the ATLAS detector by ATLAS Collaboration

“…This disagrees with the expectations of some of the considered Monte Carlo models.…”
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Method of Calculating Secondary Porosity of Reef Limestone Reservoir by Casting Thin Section Calibrating Nuclear Magnetic T2 Spectrum by Bin Zhao, Zhaoping Li, Chuqiao Gao, Guoyi Zhang, Jinbo Wu, Gang Gao, Yang Tang

“…Then, we use the surface porosity of thin section as the calibrating data and find the T2 relaxation time corresponding to the best correlation between the secondary porosity and the secondary surface porosity of casting thin section, that is, the T2 cutoff value of secondary porosity, through the Monte Carlo method. Finally, we calculate the secondary porosity by using the functional relationship between the secondary surface porosity and the surface porosity. …”
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Impact of concrete compressive strength on the reliability and the plastic moment of steel-concrete composite beams by Nabil Daanoune, Nassim Kernou

“…Reliability analysis was performed, and the failure probability was assessed using Monte Carlo simulations (MCS) and first-order (FORM) and second-order (SORM) reliability methods. …”
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Performance of Coherent Optical MPSK in Underwater Turbulent Channels With Phase Errors by Jiashun Hu, Yuexiang Wu, Sunan Wang, Weiqiang Wu, Zaichen Zhang

“…Finally, these expressions are validated through Monte Carlo simulations.…”
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Simulating the Emergence and Survival of Mutations Using a Self Regulating Multitype Branching Processes by Charles J. Mode, Towfique Raj, Candace K. Sleeman

“…During the lifespan of Fisher, computer technology had not advanced to a point at which it became an effective tool for simulating the phenomenon of the emergence and survival of mutations, but given the wide availability of personal desktop and laptop computers, it is now possible and financially feasible for investigators to perform Monte Carlo Simulation experiments. In this paper all computer simulation experiments were carried out within a framework of self regulating multitype branching processes, which are part of a stochastic working paradigm. …”
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Close-Proximity Operations Design, Analysis, and Validation for Non-Cooperative Targets with an Application to the ClearSpace-1 Mission by José Vasconcelos, Serena Gaggi, Tiago Amaral, Charles Bakouche, Adina Cotuna, Ana Friaças

“…The analysis is adopted for functional chains such as the Navigation and Control, and the combination of a prototyping and a high-fidelity simulator is adopted for directed Model-in-the-Loop Monte-Carlo campaigns. The outcomes are intended to support the industry in the development of Close-Proximity Operations similar to that of CS-1. …”
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Resilience enhancement strategy for distribution networks considering multiple flexibility resources collaboration by MA Canhao, CHEN Lijuan, WU Zhi

“…Firstly, the fault scenarios of lines and photovoltaic (PV) in the region are simulated by Monte Carlo method based on typical meteorological characteristics, and the typical scenarios are screened by using system information entropy to get the temporal fault states of lines and PV. …”
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Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation by M.A. Abd Elgawad, M.A. Alawady, H.M. Barakat, G.M. Mansour, I.A. Husseiny, Salem A. Alyami, Atef F. Hashem, M.O. Mohamed

“…To assess the effectiveness of both ML and Bayesian estimators, Monte Carlo simulation analysis is used. Furthermore, bootstrap confidence intervals were computed. …”
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Inherent stochasticity, noise and limits of detection in continuous and time-gated fluorescence systems. by Nicholas H Vitale, Arjang Hassibi, Hyongsok Tom Soh, Boris Murmann, Thomas H Lee

“…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …”
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Probabilistic Risk Assessment of Slope Failure in 3-D Spatially Variable Soils by Finite Element Method by Ya-Nan Ding, Zu-Fang Qi, Miao Hu, Jin-Zhu Mao, Xiao-Cheng Huang

“…It remains a challenging task to effectively identify the critical slip surface and conduct the efficient risk assessment based on a three-dimensional (3-D) slope with spatial variability. Based on Monte Carlo simulation and the random field method, a quantitative risk evaluation method for slope failure considering the spatial variability of soil parameters is proposed in the study. …”
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Impact of Chocolate Cadmium on Vulnerable Populations in Serbia by Aleksandra Nešić, Milica Lučić, Jelena Vesković, Ljiljana Janković Mandić, Milan Momčilović, Andrijana Miletić, Antonije Onjia

“…On the other hand, based on CR values, all chocolate products can be classified as posing a moderate risk. The Monte Carlo simulation indicated that toddlers and other children were more exposed to non-carcinogenic risk, whereas vegetarians, adults, pregnant women, and other children were more exposed to cancer risk. …”
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Signal to Noise Ratio as a Cross-Platform Metric for Intraoperative Fluorescence Imaging by Asmaysinh Gharia BA, Efthymios P. Papageorgiou PhD, Simeon Giverts BA, Catherine Park MD, Mekhail Anwar MD, PhD

“…We use empirical tumor and noise measurements to procedurally generate tumor images and run a Monte Carlo simulation of microscopic disease imaging to optimize parameters such as pixel size.…”
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Investigating the CREDIT History of Supernova Remnants as Cosmic-Ray Sources by Anton Stall, Chun Khai Loo, Philipp Mertsch

“…We model the spatial and temporal distribution of sources and the resulting distribution of fluxes with a Monte Carlo approach. The decision tree that we have trained on simulated data is able to discriminate with very high significance between the null hypothesis of a smooth distribution of sources and the scenario with a stochastic distribution of individual sources. …”
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Augmented electrical conductivity of hybrid graphene nanoplatelets carbon nanotubes polymer nanocomposites by the electro-magnetic field induced subbands by Mojtaba Haghgoo, Reza Ansari, Mohammad Kazem Hassanzadeh-Aghdam

“…The representative volume element is generated by distributing rode-like CNTs and disk-like GNPs using a Monte Carlo approach. When calculating electrical resistance, the tunneling effect accounts for the electron transfer between each linked pair of nanofillers. …”
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Posterior Positivity Distribution Analysis of Subclinical Bluetongue in the Eastern and North-Eastern States of India: A Wakeup Call for Outbreak Preparedness by Siddhartha Narayan Joardar, Aritra Sanyal, Ahmed Abd El Wahed, Saibal Ray

“…With the aim of getting updated and refined estimates of positivity rates, the sero-surveillance data were analyzed using the Markov chain Monte Carlo (MCMC) method to calculate the positivity rates of various species across different states and agro-climatic zones. …”
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Monitoring the Number of Pedestrians in an Area: The Applicability of Counting Systems for Density State Estimation by D. C. Duives, W. Daamen, S. P. Hoogendoorn

“…The latter track studies the distribution of the cumulative number of pedestrians after 24 hours for three stylized cases by means of Monte Carlo simulations. This paper finds that counting camera systems, which have a detection error that is not correlated with the flow rate, provide a reasonably good estimation of the density within an area. …”
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Designing cellulose based biochars for CO2 separation using molecular simulations by Behnoush Barzegar, Farzaneh Feyzi

“…Six biochars with densities ranging from 0.160 to 0.987 g/cm³ were prepared, and their performance in adsorbing CO2, CH4, and N2 gases, as well as CO2/CH4 and CO2/N2 gas mixtures, was evaluated using Grand Canonical Monte Carlo (GCMC) simulations. The adsorption isotherms were fitted to the Dual-Site Langmuir (DSL) equation, and subsequently, the isosteric heat of adsorption, Gibbs free energy, and entropy changes were calculated. …”
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