Results 51 to 60 of about 23,025 (301)

Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability

Advanced Functional Materials, EarlyView.
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao, He Li, Bui Duc Thuan, Weidong Chen, Qiang Zhu, Mounib Bahri, Boyu Li, Kexin Yu, Chengjun Kang, Ting Chen, Zekun Wang, Nigel D. Browning, Kian Jon Chua, Dan Zhao   +13 more
wiley   +1 more source

Ultra-high-energy cosmic rays mass composition studies with the Telescope Array Surface Detector data

EPJ Web of Conferences, 2018
The results on ultra-high energy cosmic rays’ chemical composition based on the data from the Telescope Array surface detector are reported. The analysis is based the boosted decision tree (BDT) multivariate analysis built upon 14 observables related to ...
Zhezher Yana
doaj   +1 more source

Introducing an evolutionary-decomposition model for prediction of municipal solid waste flow: application of intrinsic time-scale decomposition algorithm

Engineering Applications of Computational Fluid Mechanics, 2021
Owing to the importance of municipal waste as a determining factor in waste management, developing data-driven models in waste generation data is essential.
Linyuan Fan, Maryam Abbasi, Kazhal Salehi, Shahab S. Band, Kwok-Wing Chau, Amir Mosavi   +5 more
doaj   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

An Intelligent Decision-Making for Electromagnetic Spectrum Allocation Method Based on the Monte Carlo Counterfactual Regret Minimization Algorithm in Complex Environments

Atmosphere
In modern communication, the electromagnetic spectrum serves as the carrier for information transmission, and the only medium enabling information exchange anywhere, anytime.
Guoqin Kang, Ming Tan, Xiaojun Zou, Xuguang Xu, Lixun Han, Hainan Du   +5 more
doaj   +1 more source

Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach [PDF]

Nonlinear Processes in Geophysics, 2011
Koyna region is well-known for its triggered seismic activities since the hazardous earthquake of <i>M</i>=6.3 occurred around the Koyna reservoir on 10 December 1967.
S. Maiti, G. Gupta, V. C. Erram, R. K. Tiwari   +3 more
doaj   +1 more source

Hybrid Monte Carlo on Hilbert spaces [PDF]

Stochastic Processes and their Applications, 2011
The authors consider the problem of sampling a probability measure \(\pi\) on a Hilbert space defined via the density with respect to a Gaussian measure \(\pi_{0}\): \[ \frac{d\pi}{d\pi_{0}}(q)\propto\exp(-\Phi(q)). \] Any algorithm designed to sample \(\pi\) should be implemented on a finite-dimensional space of dimension \(N\).
Beskos, A., Pinski, F. J., Sanz-Serna, J. M., Stuart, A. M.   +3 more
openaire   +4 more sources

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Hybrid Population Monte Carlo

IEEE Transactions on Signal Processing
Importance sampling (IS) is a powerful Monte Carlo (MC) technique for approximating intractable integrals, for instance in Bayesian inference. The performance of IS relies heavily on the appropriate choice of the so-called proposal distribution. Adaptive IS (AIS) methods iteratively improve target estimates by adapting the proposal distribution. Recent
Ali Mousavi, Víctor Elvira
openaire   +2 more sources

Towards Monte Carlo preconditioning approach and hybrid Monte Carlo algorithms for Matrix Computations

Computers & Mathematics with Applications, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexandrov, Vassil, Esquivel-Flores, Oscar A.   +1 more
openaire   +2 more sources