Environmental factors in frontier estimation - A Monte Carlo analysis by Maria Nieswand, Stefan Seifert

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Markov chain Monte Carlo methods in 3-D structure inversion from electron microscopy images by Georgios Stagakis

“…The main idea behind the work contained in the thesis is that from images obtained from electron beams of different energies over the same area of the surface of a material, three-dimensional density information about the sample can be determined. …”
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Limit theorems for sequential MCMC methods by Axel Finke, Arnaud Doucet, Adam M Johansen

“…Both sequential Monte Carlo (SMC) methods (a.k.a. ‘particle filters’) and sequential Markov chain Monte Carlo (sequential MCMC) methods constitute classes of algorithms which can be used to approximate expectations with respect to (a sequence of) probability distributions and their normalising constants. …”
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Inter-flake quantum transport of electrons and holes in inkjet-printed graphene devices by Feiran Wang, Jonathan Gosling, Gustavo Trindade, Graham Rance, Oleg Makarovsky, Nathan Cottam, Zakhar Kudrynskyi, Alexander Balanov, Mark Greenaway, Ricky Wildman, Richard Hague, Christopher Tuck, Mark Fromhold, Lyudmila Turyanska

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A risk-adjusted techno-economic analysis for renewable-based milk cooling in remote dairy farming communities in East Africa by June Lukuyu, Richard Blanchard, Paul Rowley

“…Key risk factors having the greatest impact on system viability are identified and a stochastic approach, by means of a Monte Carlo simulation is employed to determine the risk-adjusted economic performance of the project. …”
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An auxiliary particle filtering algorithm with inequality constraints by Baibing Li, Cunjia Liu, Wen-Hua Chen

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Probability hypothesis density filter for parameter estimation of multiple hazardous sources by Abdullahi Daniyan, Cunjia Liu, Wen-Hua Chen

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Ozone membrane contactor to intensify gas/liquid mass transfer and contaminants of emerging concern oxidation by Pedro H. Presumido, Rosa Montes, José B. Quintana, Rosario Rodil, Manuel Feliciano, Gianluca Li-Puma, Ana I. Gomes, Vítor J.P. Vilar

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Gaussian process based channel prediction for communication-relay UAV in urban environments by Pawel Ladosz, Hyondong Oh, Gan Zheng, Wen-Hua Chen

“…This paper presents a learning approach to predict air-to-ground communication channel strength to support the communication-relay mission using the unmanned aerial vehicle (UAV) in complex urban environments. …”
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Bayesian-based techniques for tracking multiple humans in an enclosed environment by Ata ur-Rehman

“…A Markov chain Monte Carlo particle filter (MCMC-PF) is used along with a new interaction model which helps in modeling interactions of multiple targets. …”
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Thermodynamics of the classical spin-ice model with nearest neighbour interactions using the Wang-Landau algorithm by M.V. Ferreyra, G. Giordano, R.A. Borzi, Joseph Betouras, S.A. Grigera

“…Despite its simplicity it exhibits a remarkably rich behaviour. The model has been studied using a variety of techniques, thus it serves as an ideal benchmark to test the capabilities of the Wang Landau algorithm in magnetically frustrated systems. …”
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Plasmonically enhanced reflectance of heat radiation from low-bandgap semiconductor microinclusions by Janika Tang, Vaibhav Thakore, Tapio Ala-Nissila

“…Increased reflectance from the inclusion of highly scattering particles at low volume fractions in an insulating dielectric offers a promising way to reduce radiative thermal losses at high temperatures. …”
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Electromagnetic response and optical properties of spherical CuSbS₂ nanoparticles by F Seyedheydari, K Conley, P Ylä-Oijala, A Sihvola, Tapio Ala-Nissila

“…We further investigate the response of multiple nanoparticles embedded in a thin layer at a low volume fraction using a Monte Carlo method. …”
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Electromagnetic response and optical properties of anisotropic CuSbS₂ nanoparticles by Fahime Seyedheydari, Kevin Conley, Pasi Ylä-Oijala, Ari Sihvola, Tapio Ala-Nissila

“…We further investigate the optical response of thin layers containing CuSbS2 spheroids at a low volume fraction using a Monte Carlo method. …”
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Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental study by Kevin Conley, Shima Moosakhani, Vaibhav Thakore, Yanling Ge, Joonas Lehtonen, Mikko Karttunen, Simo-Pekka Hannula, Tapio Ala-Nissila

“…The 3 mm thick composite compacts reflect up to 72% of the incident radiation in the near-infrared region with a semiconductor microinclusion volume fraction of 1% which closely matches predictions from multiscale Monte Carlo modeling and Kubelka-Munk theory. …”
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Supplementary information files for: Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental study by Kevin Conley, Shima Moosakhani, Vaibhav Thakore, Yanling Ge, Joonas Lehtonen, Mikko Karttunen, Simo-Pekka Hannula, Tapio Ala-Nissila

“…The 3 mm thick composite compacts reflect up to 72% of the incident radiation in the near-infrared region with a semiconductor microinclusion volume fraction of 1% which closely matches predictions from multiscale Monte Carlo modeling and Kubelka-Munk theory. …”
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Simplified DEWS test for steel fibre-reinforced concrete characterisation (Ensaio DEWS simplificado para caracterização do concreto reforçado com fibras de aço) by Renata Monte, Ludmily da Silva Pereira, Antonio Domingues de Figueiredo, Ana Blanco-Alvarez, Luís Antônio Guimarães Bitencourt Júnior

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Quantized Self-Assembly of Discotic Rings in a Liquid Crystal Confined in Nanopores by Kathrin Sentker, Arne W Zantop, Milena Lippmann, Tommy Hofmann, Oliver H Seeck, Andriy V Kityk, Arda Yildirim, Andreas Schönhals, Marco Mazza, Patrick Huber

“…We show by high-resolution optical birefringence and synchrotron-based x-ray diffraction that confining a thermotropic discotic liquid crystal in cylindrical nanopores induces a quantized formation of annular layers consisting of concentric circular bent columns, unknown in the bulk state. …”
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Self-assembly of liquid crystals in nanoporous solids for adaptive photonic metamaterials by Kathrin Sentker, Arda Yildirim, Milena Lippmann, Arne Zantop, Florian Bertram, Tommy Hofmann, Oliver H Seeck, Andriy V Kityk, Marco Mazza, Andreas Schönhals, Patrick Huber

“…In agreement with Monte Carlo computer simulations we observe a remarkably rich self-assembly behaviour, unknown from the bulk state. …”
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Multi-performance experimental assessment of autogenous and crystalline admixture-stimulated self-healing in UHPFRCCs: Validation and reliability analysis through an inter-laborato... by Francesco Lo Monte, Lamija Repesa, Didier Snoeck, Hesam Doostkami, Marta Roig-Flores, Sam JP Jackson, Ana Blanco-Alvarez, Milena Nasner, Ruben Paul Borg, Christof Schröfl, Mercedes Giménez, Maria Cruz Alonso, Pedro Serna, Nele De Belie, Liberato Ferrara

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Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environments by Pawel Ladosz, Hyondong Oh, Wen-Hua Chen

“…Two ways of combining GP with a relay trajectory planner are presented: i) scanning the area of interest with the UAV to collect communication strength data first and then using learned data in the trajectory planner and ii) collecting data and running the trajectory planner simultaneously. …”
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Pattern formation in two-dimensional hard-core/soft-shell systems with variable soft shell profiles by Walter RC Somerville, Adam D Law, Marcel Rey, Nicolas Vogel, Andrew Archer, D Martin A Buzza

“…Most studies in this area model the soft shell interaction as a square shoulder potential. …”
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Degradation of electrical contacts under low frequency fretting conditions by Jonathan Swingler

“…This model consists of two processes in balance - contact cleaning and contact degradation processes - which either increases or reduces the electrical area of contact. A theoretical computer simulation model is proposed for evaluating contact resistance behaviour of a fretting contact system under several conditions, particularly conditions of electrically loaded and lubricated conditions. …”
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Supplementary information files for article: 'Information-based search for an atmospheric release using a mobile robot: algorithm and experiments' by Michael Hutchinson, Cunjia Liu, Wen-Hua Chen

“…The pink dots projected on the floor in the video represent random samples used in the Monte Carlo estimation algorithm. Each dot is a hypothesized release including its release rate and the meteorological parameters used to predict the spread from the source.Abstract:Finding the location and strength of an unknown hazardous release is of paramount importance in emergency response and environmental monitoring; thus, it has been an active research area for several years known as source term estimation (STE). …”
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Field emission and lifetime of microcavity plasma by G.J. Kim, Felipe Iza, Jae Koo Lee

“…Microplasmas with cylindrical hollow cathode have been studied by means of two-dimensional particle-in-cell/Monte-Carlo collision (PIC/MCC) simulations. For a given input power, the onset of field emission from the cathode surface caused by the strong electric field generated in these discharges leads to a reduction of the discharge voltage and an increase in plasma density. …”
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Source term estimation of a hazardous airborne release using an unmanned aerial vehicle by Michael Hutchinson, Cunjia Liu, Wen-Hua Chen

“…Gaining information about an unknown gas source is a task of great importance with applications in several areas including: responding to gas leaks or suspicious smells, quantifying sources of emissions, or in an emergency response to an industrial accident or act of terrorism. …”
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Modelling thin film growth over realistic time scales by Sabrina Blackwell

“…The O-terminated (000$\bar{1}$) polar surface was used as the substrate for otf-KMC growth simulations, where around 1 second of real time was simulated. Evaporation deposition of a stoichiometric distribution of deposition species was found to produce the best quality film, however, a phase boundary was observed where an area of zinc blende forms within the wurtzite. …”
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An early-stage decision-support framework for the implementation of intelligent automation by Simon Micheler

“…The proposed probabilistic decision-support framework consists of three parts:• A clustering algorithm to identify the manufacturing functions in manual processes from task analysis to mitigate early-stage design uncertainties• A Bayesian Belief Network (BBN) informed by an expert elicitation via the DELPHI method, where the identified functions become the unit of analysis.• A Markov-Chain Monte-Carlo method modelling the effects of uncertainties on the critical success factors to address issues of factor interdependencies after expert elicitation.Based on the overall decision framework a toolbox was developed in Microsoft Excel. …”
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Performance study of high resolution algorithms in sonar signal processing by Chao Sun

“…This provides a fundamental ground for further work in this and related areas.…”
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Modelling microstructural and interfacial phenomena in welding and irradiation processes for Fe-based systems by Francisco J. Perez Perez

“…Collision cascades have been initiated.inthe structure by imparting an initial energy of 1 keY to a single Fe atom, i.e. a primary knock-on atom (PKA). …”
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A model-based approach to System of Systems risk management by Andrew M.K. Kinder

“…The Bayesian Belief Network (BBN) was identified as a suitable method to represent SoS risk. Supporting models run in Monte Carlo Simulations allowed data to be generated from which the risk BBNs could learn, thereby providing a more quantitative approach to SoS risk management. …”
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Non-Evaporable Getter coating optimisation for future particle accelerators by Ruta Sirvinskaite

“…Chapter 4 overviews the simulation software and models used for sample characterisation and makes a link between the experiments and Monte Carlo simulations. …”
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Uncertainty considerations in photovoltaic measurements by Blagovest V. Mihaylov

“…It was confirmed that both bilinear interpolation and the proposed climatic datasets could be used for energy rating, but there are some areas that may need further investigation. An alternative way of improving uncertainty estimates and in turn reducing the associated uncertainty is via a more detailed characterisation of the uncertainty sources. …”
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