Results 1 to 10 of about 246,998 (149)
Axioms, 2023 This paper assumes constant-stress accelerated life tests when the lifespan of the test units follows the XLindley distribution. In addition to the maximum likelihood estimation, the Bayesian estimation of the model parameters is acquired based on ...
Refah Alotaibi +2 more
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A Numerical Study of Optimization Methods for Phase-Only Optical Pulse-Shaping
Photonics, 2021 The field of optical pulse-shaping and its applications is introduced, with a focus on time-domain approaches. A numerical investigation of all-fiber, time-domain, phase-only filtering is conducted for arbitrary temporal pulse synthesis.
Abdullah S. Karar +6 more
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Melting of atomic materials under high pressures using computer simulations
Advances in Physics: X, 2023 Enormous progress has been made in high-pressure research over the last decades in both, experiments and computer simulations, many challenges still remain.
Diana Yu, Elke Pahl
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Atomic Nuclei From Quantum Monte Carlo Calculations With Chiral EFT Interactions
Frontiers in Physics, 2020 Quantum Monte Carlo methods are powerful numerical tools to accurately solve the Schrödinger equation for nuclear systems, a necessary step to describe the structure and reactions of nuclei and nucleonic matter starting from realistic interactions and ...
Stefano Gandolfi +5 more
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Journal of Marine Science and Engineering, 2023 Submarine landslides in regions enriched with gas hydrates pose a significant threat to submarine pipelines, cables, and offshore platforms. Conducting a comprehensive regional-scale susceptibility assessment is crucial for mitigating the potential risks
Lin Tan, Mingliang Zhou, Feiyang Wang
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PLoS ONE, 2022 Since Shannon's formulation of the entropy theory in 1940 and Jaynes' discovery of the principle of maximum entropy (POME) in 1950, entropy applications have proliferated across a wide range of different research areas including hydrological and ...
Amal Helu
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Quantification of airfoil geometry-induced aerodynamic uncertainties - comparison of approaches [PDF]
, 2016 Uncertainty quantification in aerodynamic simulations calls for efficient numerical methods since it is computationally expensive, especially for the uncertainties caused by random geometry variations which involve a large number of variables. This paper
Litvinenko, Alexander +3 more
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Multifidelity Monte Carlo estimation for large-scale uncertainty propagation [PDF]
, 2018 One important task of uncertainty quantification is propagating input uncertainties through a system of interest to quantify the uncertainties’ effects on the system outputs; however, numerical methods for uncertainty propagation are often based on Monte
Beran, Philip S. +2 more
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Efficient Characterization of Parametric Uncertainty of Complex (Bio)chemical Networks. [PDF]
PLoS Computational Biology, 2015 Parametric uncertainty is a particularly challenging and relevant aspect of systems analysis in domains such as systems biology where, both for inference and for assessing prediction uncertainties, it is essential to characterize the system behavior ...
Claudia Schillings +3 more
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A perspective on machine learning and data science for strongly correlated electron problems
Carbon Trends, 2022 Numerical approaches to the correlated electron problem have achieved considerable success, yet are still constrained by several bottlenecks, including high order polynomial or exponential scaling in system size, long autocorrelation times, challenges in
Steven Johnston +2 more
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