Article
Engineering, Multidisciplinary
Mainak Bhattacharyya, Pierre Feissel
Summary: The research aims to determine material parameters through full field measurements of kinematic data from digital image correlation, using both deterministic and probabilistic approaches. The deterministic inverse problem involves an optimal control method that does not require complete knowledge of boundary conditions and measurement data. The probabilistic framework incorporates this method into a Bayesian inference framework, using a Markov chain Monte Carlo sampling method to obtain the posterior probability density function, supported by a radial basis function network for efficient sampling.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Plant Sciences
Yi Xiao, Jen Sloan, Chris Hepworth, Colin P. Osborne, Andrew J. Fleming, Xingyuan Chen, Xin-Guang Zhu
Summary: The Farquhar-von Caemmerer-Berry (FvCB) model is widely used for modeling photosynthesis, with this study introducing a new tool that utilizes Bayesian statistics for fitting photosynthetic parameters. Testing on experimental and synthetic data showed the tool's reliability and effectiveness, offering a user-friendly, interactive Bayesian script for parameter estimation.
PLANT CELL AND ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Denise Beaudequin, Paul Schwenn, Larisa T. McLoughlin, Marcella Parker, Amanda Boyes, Gabrielle Simcock, Jim Lagopoulos, Daniel F. Hermens
Summary: The Longitudinal Adolescent Brain Study monitored 500 adolescents for 5 years, finding that unhealthy eating habits increased the chance of moderate psychological distress, while social isolation increased the chance of severe psychological disorder.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Multidisciplinary
Mingzhi Wang, Libo Gao, Ke Cao, Jianjun Wu, Weidong Wang
Summary: This paper presents an inverse computation method for measuring the anisotropic plasticity properties of materials using indentation. The method treats material plastic parameters as stochastic variables with statistical distributions, and establishes a Bayesian inference model based on imprint snapshots of anisotropic materials in spherical indentation. Proper orthogonal decomposition is used to correlate material parameters with indentation imprint snapshots in a dimension-reduced sub-space, and weighting is applied to balance errors from imprint snapshots.
Article
Mathematics, Applied
Zhaoxing Li, Yanfang Liu, Jiguang Sun, Liwei Xu
Summary: The proposed method combines direct sampling and Bayesian inversion to reconstruct the locations and intensities of unknown acoustic sources with partial data. The direct sampling method is extended using new indicator functions to approximate source locations, while the inverse problem is formulated as a statistical inference problem using Bayes' formula. The source locations obtained in the first step are coded in the priors, and a Metropolis-Hastings Markov chain Monte Carlo algorithm is used to explore the posterior density, showing effectiveness in numerical experiments.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2021)
Article
Chemistry, Analytical
Avohou T. Hermane, Sacre Pierre-Yves, Lebrun Pierre, Hubert Philippe, Ziemons Eric
Summary: A novel class-modelling method for spectral data is proposed, using a beta%-prediction band to classify spectra. The method demonstrates satisfactory predictive performances when evaluated on real near-infrared datasets.
ANALYTICA CHIMICA ACTA
(2021)
Article
Infectious Diseases
Thomas Hambridge, Luc E. Coffeng, Sake J. de Vlas, Jan Hendrik Richardus
Summary: This study aims to evaluate the characteristics of leprosy case detection delay data and select a suitable model to describe the variability of detection delays. The results show that the detection delays are best described by a log-normal distribution, influenced by individual factors such as age, sex, and leprosy subtype.
INFECTIOUS DISEASES OF POVERTY
(2023)
Article
Engineering, Geological
Gertjan van Zwieten, E. Harald van Brummelen, Ramon F. Hanssen
Summary: Earthquakes cause lasting deformation that can be observed and inferred through deformation measurements. The Weakly-enforced Slip Method (WSM) accurately recovers slip distributions in a Bayesian-inference setting, offering modeling flexibility and reducing model restrictions in earthquake inversion problems.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2022)
Article
Water Resources
Mikkel B. Lykkegaard, Tim J. Dodwell
Summary: We propose a novel approach to adaptive optimal design of groundwater surveys. Our method, based on Bayesian Optimization and goal-oriented error estimation, selects the next monitoring well by considering available data from existing wells. Unlike other optimal design strategies, our approach does not rely on Fisher Information but utilizes posterior uncertainty and the solution to a dual problem to construct an acquisition function. We demonstrate its effectiveness in a 2D groundwater flow example, where it outperforms the baseline approach in reducing the error in the posterior estimate of the quantity of interest.
ADVANCES IN WATER RESOURCES
(2022)
Article
Chemistry, Multidisciplinary
Miad Boodaghi, Sarah Libring, Luis Solorio, Arezoo M. Ardekani
Summary: This study used Bayesian inference to determine the light attenuation and diffusion coefficients of Rhodamine 6G in breast cancer spheroids, finding minimal variation in diffusion coefficients across different types of spheroids but significant differences between tumorigenic and nontumorigenic breast cancer cells. The methodology presented allows researchers to determine diffusion in spheroids and separate transport and drug penetration changes from biological resistivity, showing evidence of cell packing in self-assembled spheroids through agreement between spheroid radius, attenuation coefficient, and diffusion coefficient.
JOURNAL OF CONTROLLED RELEASE
(2021)
Article
Computer Science, Interdisciplinary Applications
Hexiang Bai, Minhu Yang, Gregoire Mariethoz
Summary: Multiple-point simulation methods are effective in reproducing complex spatial structures, but they require intensive computations in the pattern matching process. To alleviate the computation burden, a new method is proposed that first constructs a mixed sparse part using a regular sub grid and random cells. Direct sampling is then only performed on this part, while all other cells are estimated from neighboring conditioning cells. Two estimation methods based on Bayes' theorem and regression are proposed for categorical and continuous variables. Experiments show that the proposed method can save up to 90% and 40% computation time for categorical and continuous variables, respectively, compared to direct sampling.
COMPUTERS & GEOSCIENCES
(2023)
Article
Multidisciplinary Sciences
T. J. Dodwell, L. R. Fleming, C. Buchanan, P. Kyvelou, G. Detommaso, P. D. Gosling, R. Scheichl, W. S. Kendall, L. Gardner, M. A. Girolami, C. J. Oates
Summary: The emergence of additive manufacture for metallic material enables components of near arbitrary complexity to be produced, but these components exhibit greater levels of variation in geometric and mechanical properties compared to standard components, posing a barrier to potential users. Researchers demonstrate that intrinsic variation in AM steel can be well described by a generative statistical model, allowing for prediction of design quality before manufacture by combining probabilistic mechanics and uncertainty quantification.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Mathematics, Applied
Yanfang Liu, Yukun Guo, Jiguang Sun
Summary: The article introduces a two-step deterministic-statistical method for extracting information from moving sources. The first step develops an approximate direct sampling method to obtain the spatiotemporal locations of the sources, while the second step reconstructs using Bayesian method. Numerical examples demonstrate the advantages of the combined approach.
Article
Geosciences, Multidisciplinary
Zoe A. Cumberpatch, Emma Finch, Ian A. Kane, Leonardo M. Pichel, Christopher A. -L. Jackson, Ben A. Kilhams, David M. Hodgson, Mads Huuse
Summary: The study focuses on how subsurface salt flow influences contemporaneous sedimentary systems, using Discrete Element Modelling to reveal the stratigraphy and deformation processes around salt structures. Experimental results demonstrate the impact of salt growth on stratigraphic architecture and the changes in stratigraphy due to halokinetic deformation. The research underscores the significance of local fluctuations in diapir rise rate on stratigraphic architecture.
Article
Physics, Mathematical
Yunwen Yin, Weishi Yin, Pinchao Meng, Hongyu Liu
Summary: This paper proposes a hybrid approach that combines linear sampling method and Bayesian method to simultaneously reconstruct multiple obstacles. Numerical experiments are provided to testify the effectiveness and efficiency of the proposed method.
COMMUNICATIONS IN COMPUTATIONAL PHYSICS
(2022)
Article
Geosciences, Multidisciplinary
A. Licciardi, K. Gallagher, S. A. Clark
Article
Geochemistry & Geophysics
Kerry Gallagher, Mauricio Parra
EARTH AND PLANETARY SCIENCE LETTERS
(2020)
Article
Geology
Hiranya Sahoo, M. Royhan Gani, Nahid D. Gani, Gary J. Hampson, John A. Howell, Joep E. A. Storms, Allard W. Martinius, Simon J. Buckley
Article
Geology
Lynsey Angus, Gary J. Hampson, Francesco Palci, Alastair J. Fraser
JOURNAL OF SEDIMENTARY RESEARCH
(2020)
Review
Geosciences, Multidisciplinary
Christopher J. Brewer, Gary J. Hampson, Alexander C. Whittaker, Gareth G. Roberts, Stephen E. Watkins
EARTH-SCIENCE REVIEWS
(2020)
Article
Geochemistry & Geophysics
A. Licciardi, K. Gallagher, S. A. Clark
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Geosciences, Multidisciplinary
Carl Jacquemyn, Margaret E. H. Pataki, Gary J. Hampson, Matthew D. Jackson, Dmytro Petrovskyy, Sebastian Geiger, Clarissa C. Marques, Julio D. Machado Silva, Sicilia Judice, Fazilatur Rahman, Mario Costa Sousa
Summary: Geological modelling is commonly used in predicting resource potential in subsurface reservoirs, but the traditional methods can be slow and require expertise. This study introduces an alternative approach using sketch-based interface and modelling, allowing for rapid creation of complex 3D models. The proposed geological operators handle interactions between surfaces to form realistic models, providing flexibility and intuitiveness for geoscientists to create 3D models quickly.
JOURNAL OF THE GEOLOGICAL SOCIETY
(2021)
Article
Geology
Sinead J. Lyster, Alexander C. Whittaker, Gary J. Hampson, Elizabeth A. Hajek, Peter A. Allison, Bailey A. Lathrop
Summary: The study reconstructed the palaeohydrology of Late Cretaceous palaeorivers in central Utah using field measurements and quantitative methods, revealing similarities in river morphologies in space and time, as well as decreasing slopes downstream with a notable increase at the Blackhawk-Castlegate transition. There was no change in unit water discharges at this transition, supporting a tectonic-driven increase in slope rather than a climatically-driven change.
Article
Geosciences, Multidisciplinary
Daniel S. Collins, Alexandros Avdis, Martin R. Wells, Christopher D. Dean, Andrew J. Mitchell, Peter A. Allison, Howard D. Johnson, Gary J. Hampson, Jon Hill, Matthew D. Piggott
Summary: Ancient shoreline-shelf depositional systems are influenced by a wide array of geological, biological, and hydrodynamic processes, with sediment transport and deposition primarily determined by interactions of river, wave, and tidal processes. Numerical modelling integrated with traditional facies analysis provides a viable approach to understand the impact of these complex coastal sedimentary processes. Ancient palaeotidal models can highlight and quantify the controls on tidal processes, improving predictions of tide-influenced shoreline-shelf process regimes.
EARTH-SCIENCE REVIEWS
(2021)
Article
Green & Sustainable Science & Technology
William A. Jackson, Gary J. Hampson, Carl Jacquemyn, Matthew D. Jackson, Dmytro Petrovskyy, Sebastian Geiger, Julio D. Machado Silva, Sicilia Judice, Fazilatur Rahman, Mario Costa Sousa
Summary: This study uses various methods to screen the impact of sedimentological heterogeneities on CO2 migration at the Northern Lights CO2 storage site. The results show that sedimentological heterogeneities play an important role in CO2 migration and retention.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2022)
Article
Geosciences, Multidisciplinary
Tore Aadland, Gary Hampson, William Helland-Hansen
Summary: Understanding how sedimentary rocks represent time is a major challenge in sedimentology. A source-to-sink methodology was tested using deposits from the Blackhawk Formation in Utah and Colorado, which showed that prograding deltaic shoreline deposits represent a significant amount of time.
Article
Geosciences, Multidisciplinary
Ikenna C. C. Okwara, Gary J. J. Hampson, Alexander C. C. Whittaker, Gareth G. G. Roberts, Patrick W. W. Ball
Summary: Sediment mass-balance analysis is important for understanding stratigraphic architecture and controls. The study focused on the Middle Jurassic Brent Delta sediment routing system in the Northern North Sea and estimated sediment budgets and mass-balance between source areas and depositional sinks.
Article
Green & Sustainable Science & Technology
D. Petrovskyy, C. Jacquemyn, S. Geiger, M. D. Jackson, J. D. Machado Silva, S. Judice, F. Rahman, M. Costa Sousa
Summary: Sketch-based interface and modelling is a rapid and intuitive approach to create 3D reservoir models for evaluating geological concepts and uncertainties. It improves the efficiency of reservoir modelling and simulation workflows by highlighting key uncertainties.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2023)
Article
Geosciences, Multidisciplinary
Delia A. Kuye, Gary J. Hampson
Summary: The 'Dona' field is located in the western Niger Delta and is characterized by synthetic, listric normal faults and rollover anticlines. The growth faulting in the area is likely due to gravity-induced shale diapirism caused by overall progradation of the Niger Delta.
MARINE AND PETROLEUM GEOLOGY
(2023)
Article
Geology
Janifar H. Lupin, Gary J. Hampson
JOURNAL OF SEDIMENTARY RESEARCH
(2020)