Results 91 to 100 of about 128,537,122 (247)

Analysis of Risk-informed Safety Margin on SBO of Simplified Nuclear Power Plant Based on Monte Carlo Sampling

Yuanzineng kexue jishu, 2022
The risk-informed safety margin is a new safety concept of nuclear power industry in recent ten years. The calculation framework and the quantification technology under the Monte Carlo method of the riskinformed safety margin were studied.
LI Chaojun;ZHANG Pan;HAN Zhi;ZHENG Jie;CHEN Yan;LI Chun;YI Yan
doaj  

Unconventional Biexciton Dynamics in Superradiant Perovskite Quantum Dots Driven by Many‐Body Correlations

Advanced Materials, EarlyView.
Single‐particle spectroscopy and variational quantum Monte Carlo simulations reveal that strong many‐body correlations fundamentally alter biexciton radiative recombination in weakly confined CsPbBr3 quantum dots. Intra‐ and inter‐exciton correlations reverse the conventional lifetime hierarchy, yielding biexcitons with longer radiative lifetimes than ...
Chenglian Zhu, Jose L. Movilla, Petra Hoffmann, Ihor Cherniukh, Willem P. A. Verheijen, Leon G. Feld, Josep Planelles, Maryna I. Bodnarchuk, Simon C. Boehme, Juan I. Climente, Maksym V. Kovalenko, Gabriele Rainò   +11 more
wiley   +1 more source

SMCTC: Sequential Monte Carlo in C++ [PDF]

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core  

On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo [PDF]

, 2011
Approximate Bayesian computation (ABC) has gained popularity over the past few years for the analysis of complex models arising in population genetics, epidemiology and system biology.
Barnes, C, Chris Barnes, Michael P. H. Stumpf, Sequential Monte Carlo, Julien Cornebise, Stumpf, MPH, Filippi, S, Cornebise, J   +7 more
core  

Iterative Selection of DNA Nanostructures for Cellular Uptake

Advanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar, Lisa Eichhorn, Jakub Palacka, Sandra Ly, Erik Benson   +4 more
wiley   +1 more source

Monte Carlo Variational Method and the Ground-State of Helium [PDF]

Journal of Systemics, Cybernetics and Informatics, 2009
atom. The relativistic effect is taken into account. Trial wave functions depending on the variational parameters are constructed for this purpose. Energies as well as standard deviations are plotted versus the variational parameters.
S. B. Doma, F. El-Gamal
doaj  

Topological Spin‐Texture Transitions in van der Waals Magnets Revealed by X‐Ray Fourier Transform Holography

Advanced Materials, EarlyView.
Applied here for the first time to a 2D material, high‐resolution synchrotron x‐ray Fourier transform holography directly images topological spin textures in Fe3GeTe2. Combined with atomistic tight‐binding simulations including itinerant electrons and Rashba spin‐orbit coupling, the approach reveals labyrinth, skyrmion, and mixed phases, and uncovers ...
Sourav Chowdhury, Soumyaranjan Dash, Michael Schneider, Christopher Klose, Chithra H. Sharma, Lisa‐Marie Kern, Tim A. Butcher, Josefin Fuchs, Santanu Pakhira, Samik DuttaGupta, Takashi Taniguchi, Kenji Watanabe, Sujit Das, Sanjeev Kumar, Bastian Pfau, Amir‐Abbas Haghighirad, Moritz Hoesch   +16 more
wiley   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

1T‐to‐2H Phase Evolution During Epitaxial Growth of Transition Metal Dichalcogenides

Advanced Materials, EarlyView.
During MOCVD growth of MoS2 and WSe2, a transient metallic 1T phase emerges in early, edge‐rich, chalcogen‐deficient domains and declines as the films ultimately coalesce as 2H material. Together, experiments and ReaxFF simulations link domain size, edge stoichiometry, and vacancies to this evolution.
Andrew R. Graves, Yiru Zhu, Matin Salimi Irdmusa, Nadire Nayir, Thomas V. Mc Knight, Chen Chen, Ke Wang, Adri C. T. van Duin, Joan M. Redwing   +8 more
wiley   +1 more source