Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

“…In the examples presented, we used two different Markov Chain Monte Carlo methods to generate the posterior distribution of the magnetic field. …”
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Understanding the influence of hydrogen on BCC iron grain boundaries using the kinetic activation relaxation technique (k-ART) by Aynour Khosravi, Jun Song, Normand Mousseau

“…Using the kinetic activation relaxation technique , an off-lattice kinetic Monte Carlo approach with an EAM-based potential, extensive catalogs of activated events for atoms in both H-free and H-saturated GBs were generated. …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…To validate the feasibility and effectiveness of the proposed method, comprehensive simulations and real-world experiments were conducted. First, using Monte Carlo simulation and real-world experiments, we validated the effectiveness of the proposed methods for UWB anchor position and its accuracy estimation. …”
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EMPIRICAL VERIFICATION OF THE STRUCTURAL MODEL RELATING EQUILIBRIUM VALUES OF COSTS, QUALITY, AND COMFORT OF MEDICAL SERVICES WITH INDIVIDUALIZED ELASTICITIES OF DEMAND by Oleg Klymenyuk, Oleksandr Ocheredko, Volodymyr Klymenyuk, Anastasiia Rudenko

“…The data on the costs, quality, and comfort of inpatient care are studied to enable empirical verification of the model. The modern Monte Carlo Markov Chain (МСМС) methods of structural modeling and power analysis were used to estimate the required sample size. …”
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An energy‐efficient dynamic comparator in Carbon Nanotube Field Effect Transistor technology for successive approximation register ADC applications by Hamid Mahmoodian, Mehdi Dolatshahi, S. Mohammadali Zanjani, Mohammad Amin Honarvar

“…Moreover, the effects of the non‐ideal fabrication process (including the pitch and the threshold voltage variations), supply voltage and temperature variations are investigated in this work. Monte‐Carlo analysis shows that the standard deviation of the offset voltage is approximately 1.24 mV. …”
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Space Weather Environment During the SpaceX Starlink Satellite Loss in February 2022 by Tzu‐Wei Fang, Adam Kubaryk, David Goldstein, Zhuxiao Li, Tim Fuller‐Rowell, George Millward, Howard J. Singer, Robert Steenburgh, Solomon Westerman, Erik Babcock

“…Simulation results suggest that during the geomagnetic storm, pre‐launch Monte Carlo analyses performed by the Starlink team using empirical neutral density inputs from NRLMSISE‐00 tended to underestimate the impact relative to predictions from the operational coupled Whole Atmosphere Model and Ionosphere Plasmasphere Electrodynamics physics‐based model. …”
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Molecular Understanding of the Role of Catalyst Particle Arrangement in Local Mass Transport Resistance for Fuel Cells by Aoxin Ran, Linhao Fan, Chasen Tongsh, Jiaqi Wang, Zhengguo Qin, Qing Du, Meng Ni, Kui Jiao

“…Herein, using a unique method coupling Hybrid Reverse Monte Carlo, molecular dynamics simulations, and experimental measurements, a Pt particle arrangement strategy is proposed to reduce local oxygen transport resistance, based on a molecular‐level understanding of its impact. …”
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Thermally Driven Atmospheric Escape: Transition from Diffusion-limited to Drag-off Escape by Jack C. Evans, Shane Robert Carberry Mogan, Robert E. Johnson, Orenthal J. Tucker

“…We examine the transition from diffusion-limited to drag-off escape using a direct simulation Monte Carlo (DSMC) model developed to simulate planetary atmospheres, referred to as Harrah. …”
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Annual Optical Performance of a Solar CPC Photoreactor with Multiple Catalyst Support Configurations by a Multiscale Model by Manuel I. Peña-Cruz, Patricio J. Valades-Pelayo, Camilo A. Arancibia-Bulnes, Carlos A. Pineda-Arellano, Iván Salgado-Tránsito, Fernando Martell-Chavez

“…A detailed model for the optical response of the anatase catalyst films is utilized, based on the characteristic matrix method, together with Monte Carlo ray tracing simulations. The catalyst is supported over glass tubes contained inside a larger glass tube that functions as receiver of the CPC reflector. …”
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Coupling the urban canopy model TEB (SURFEXv9.0) with the radiation model SPARTACUS-Urbanv0.6.1 for more realistic urban radiative exchange calculation by R. Schoetter, R. J. Hogan, R. J. Hogan, C. Caliot, V. Masson

“…TEB–SPARTACUS is validated by comparing the solar and terrestrial urban radiation budget observables with those simulated by the Monte-Carlo-based HTRDR-Urban reference model for procedurally generated urban districts that mimic the local climate zones. …”
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Charge doping into spin minority states mediates doubling of T C in ferromagnetic CrGeTe3 by Liam Trzaska, Lei Qiao, Matthew D. Watson, Monica Ciomaga Hatnean, Igor Marković, Edgar Abarca Morales, Tommaso Antonelli, Cephise Cacho, Geetha Balakrishnan, Wei Ren, Silvia Picozzi, Phil D. C. King

“…Together with density functional theory calculations and Monte Carlo simulations, we show that, surprisingly, the increased T C is mediated by the population of spin-minority Cr t 2g states, forming a half-metallic 2D electron gas. …”
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Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP by Florian Birk, Lucas Mahler, Julius Steiglechner, Qi Wang, Klaus Scheffler, Rahel Heule

“…The performance of supervised DNNs (SVNN), self-supervised physics-informed DNNs (PINN), and an iterative fitting framework termed motion-insensitive rapid configuration relaxometry (MIRACLE) was evaluated in silico and in vivo in brain tissue of healthy subjects, including Monte Carlo sampling to simulate noise. DNNs were trained on three distinct in silico parameter distributions and at different signal-to-noise-ratios. …”
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Kinetic-pharmacodynamic model to predict post-rituximab B-cell repletion as a predictor of relapse in pediatric idiopathic nephrotic syndrome by Ziwei Li, Qian Shen, Hong Xu, Zhiping Li

“…A kinetic-pharmacodynamic (K-PD) model was developed in 59 children to characterize the time course of CD19+ B-cell after rituximab treatment. Monte Carlo simulation was conducted to explore a mini-dose regimen with larger intervals.ResultsNomogram contained 7 predictors of relapse including neutrophil-to-lymphocyte ratio, duration of B-cell depletion, duration of disease, urine immunoglobulin G to creatinine ratio, urine transferrin, duration of maintenance immunosuppressant and hemoglobin. …”
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Cosmic Chronometers, Pantheon+ Supernovae, and Quasars Favor Coasting Cosmologies over the Flat ΛCDM Model by Peter Raffai, Adrienn Pataki, Rebeka L. Böttger, Alexandra Karsai, Gergely Dálya

“…We used the emcee code for fitting CC data, a custom Markov Chain Monte Carlo implementation for SNe and QSOs, and Anderson–Darling tests for normality on normalized residuals for model comparison. …”
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Nuclear Data Uncertainty Quantification and Propagation for Safety Analysis of Lead-Cooled Fast Reactors by Ishita Trivedi, Jason Hou, Giacomo Grasso, Kostadin Ivanov, Fausto Franceschini

“…The impact of nuclear data uncertainties based on ENDF/B-VII.0 covariances is quantified on lattice level using the generalized perturbation theory implemented with the Monte Carlo code Serpent and the deterministic code PERSENT of the Argonne Reactor Computational (ARC) suite. …”
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Toxic heavy metals of agricultural products in developing countries and its human health risk assessment: A study from Iran by Ali Amarloei, Heshmatollah Nourmoradi, Shahrokh Nazmara, Mohsen Heidari, Fazel Mohammadi-Moghadam, Sajad Mazloomi

“…ICP-MS was used to measure the concentrations of selected toxic heavy metals.According to the obtained results, only the rice samples had concentrations of As and Pb that exceeded Iran's national standards. Monte Carlo simulation showed that the 95th percentile (P95th) values of hazard quotient (HQ) for As in wheat and rice, Hg in wheat, and Pb in rice were above 1. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Conclusions: Our work demonstrated that machine learning models trained with data calculated by a dose-tracking software can provide good estimates of the effective dose just from patient and scanner parameters, without the need for a Monte Carlo approach.…”
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Estimation of Geometric Factors for the Particle Detecting Instruments of the Geostationary Satellite GK2A at 128.2°E Longitude Based on Observations of the Outer Radiation Belt Du... by W.‐H. Seol, C.‐H. Lee, J. Seon, Y.‐C. Shin, K.‐H. Kim, D. E. Larson, G. K. Parks, J. Sample

“…As deduced from the GEANT4 Monte Carlo simulation, the response function of the instrument in a matrix form was employed to undertake forward‐fitting of the differential energy spectra against various functions such as the double Maxwellian (DM), relativistic kappa (KP), and power‐law (PL). …”
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Unfolding the Neutron Flux Spectrum on the Surface of Mars Using the MSL‐RAD and Odyssey‐HEND Data by L. M. Martinez Sierra, I. Jun, B. Ehresmann, C. Zeitlin, J. Guo, M. Litvak, K. Harshman, D. Hassler, I. G. Mitrofanov, D. Matthiä, S. Loffler

“…Our approach involves a series of Monte Carlo simulations to develop a set of atmospheric transmission functions that enables us to convert the on‐orbit HEND data to their corresponding surface neutron flux spectra. …”
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Dynamic Response of Graphitic Targets with Tantalum Cores Impacted by Pulsed 440-GeV Proton Beams by Pascal Simon, Philipp Drechsel, Peter Katrik, Kay-Obbe Voss, Philipp Bolz, Fiona J. Harden, Michael Guinchard, Yacine Kadi, Christina Trautmann, Marilena Tomut

“…Spatial energy deposition profiles were obtained by the Monte Carlo code FLUKA and the dynamic response was modelled using the implicit code ANSYS. …”
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