Results 131 to 140 of about 1,370,111 (307)
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Nuclear Engineering and Technology, 2018 Calculating minimal cut sets is a typical quantification method used to evaluate the top event probability for a fault tree. If minimal cut sets cannot be calculated or if the accuracy of the quantification result is in doubt, the Monte Carlo method can ...
Sang Hoon Han
doaj
Application of a modified Monte Carlo method for the simulation of heat conduction in a rectangular slab [PDF]
Maejo International Journal of Science and Technology, 2008 Monte Carlo method has been used to study heat conduction problems. It is grid-free inimplementation, unlike the conventional Finite Element and Finite Difference Method.
Ademola. A. Dare
doaj
A Note on Linear Extrapolation of Multivariable Functions by the Monte Carlo Method [PDF]
, 1966 Takao Tsuda, Hiroshi Matsumoto
openalex +1 more source
Advanced Functional Materials, EarlyView.From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang +8 more
wiley +1 more source
Clock factorized quantum Monte Carlo method for long-range interacting systems
SciPost Physics CoreSimulating long-range interacting systems is a challenging task due to its computational complexity that the computational effort for each local update is of order $\mathcal{O}(N)$, where $N$ is the size of the system.
Zhijie Fan, Chao Zhang, Youjin Deng
doaj +1 more source
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 riskinformed safety margin were studied.
LI Chaojun;ZHANG Pan;HAN Zhi;ZHENG Jie;CHEN Yan;LI Chun;YI Yan
doaj
The Convergence of Markov chain Monte Carlo Methods: From the Metropolis method to Hamiltonian Monte Carlo [PDF]
arXiv, 2017 From its inception in the 1950s to the modern frontiers of applied statistics, Markov chain Monte Carlo has been one of the most ubiquitous and successful methods in statistical computing. In that time its development has been fueled by increasingly difficult problems and novel techniques from physics.
arxiv
Modulating Oxide‐Based Quantum Materials by Ion Implantation
Advanced Functional Materials, EarlyView.This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz +2 more
wiley +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
Advanced Materials, EarlyView.This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar +3 more
wiley +1 more source