Results 91 to 100 of about 23,025 (301)
Hybrid Monte Carlo method in the reliability analysis of structures
Computer Assisted Methods in Engineering and Science, 2017 The paper develops the idea of [8], i.e., the application of Artificial Neural Networks (ANNs) in probabilistic reliability analysis of structures achieved by means of Monte Carlo (MC) simulation.
Joanna Kaliszuk
doaj
Non-Hertz-Millis scaling of the antiferromagnetic quantum critical metal via scalable Hybrid Monte Carlo. [PDF]
Nat Commun, 2023 Lunts P, Albergo MS, Lindsey M.
europepmc +1 more source
Advanced Science, EarlyView.This paper presents a pixel‐by‐pixel on‐chip silicon‐based micro‐reflector device (SMRD) for µLEDs that enables simultaneous light‐extraction enhancement and directional emission control. The scalable architecture significantly improves forward light utilization and suppresses pixel crosstalk.
Wenzong Lai +10 more
wiley +1 more source
Heterogeneous Integration of Flipped Oxide Heterostructure Membranes for Nanoelectronics
Advanced Electronic Materials, EarlyView.A flipped electronically reconfigurable STO/LAO freestanding membrane is demonstrated and integrated with various host platforms via controlled transfer. Using ultra‐low‐voltage electron‐beam lithography, conductive nanostructures are created at the buried STO/LAO interface. This novel approach enables heterogeneous integration of flipped complex oxide
Ruiqi Sun +9 more
wiley +1 more source
Hybrid Monte Carlo estimators for multilayer transport problems. [PDF]
J Comput Phys, 2021 Zhao S, Spanier J.
europepmc +1 more source
Non-Hermitian Polynomial Hybrid Monte Carlo [PDF]
Proceedings of The XXVI International Symposium on Lattice Field Theory — PoS(LATTICE 2008), 2009 7 pages, 4 figures, talk presented at the XXVI International Symposium on Lattice Field Theory, July 14-19, 2008, Williamsburg, Virginia ...
openaire +2 more sources
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
A Hybrid Monte Carlo Sampling Filter for Non-Gaussian Data Assimilation
AIMS Geosciences, 2015 Data assimilation combines information from models, measurements, and priors to obtain improved estimates of the state of a dynamical system such as the atmosphere.
Adrian Sandu, Ahmed Attia
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AIChE Journal, EarlyView.Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang +9 more
wiley +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source