Results 121 to 130 of about 512,942 (311)
Monte Carlo Techniques in Studying Robust Estimators [PDF]
Recent work on robust estimation has led to many procedures, which are easy to formulate and straightforward to program but difficult to study analytically.
David C. Hoaglin
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Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2
Advanced Science, EarlyView.Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu +5 more
wiley +1 more source
"Style Analysis Based on a General State Space Model and Monte Carlo Filter" [PDF]
This paper proposes a new approach to style analysis by utilizing a general state space model and Monte Carlo filter. In particular,We regard coefficients of style indices as state variables in the state space model and apply Monte Carlo filter as ...
Seisho Sato +2 more
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Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets
Advanced Science, EarlyView.The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao +6 more
wiley +1 more source
Advanced Science, EarlyView.Inspired by natural amino acid polymer‐melanin systems, this study strategically incorporated tellurocysteine to develop advanced radiation‐shielding materials. This approach transformed the primary interaction mechanism between melanin‐based materials and incident photons from Compton scattering to the photoelectric effect. Tellurocysteine‐polymerized
Wei Chen +6 more
wiley +1 more source
Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]
A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
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Monte Carlo and kinetic Monte Carlo methods
, 2009 This article reviews the basic computational techniques for carrying out multi-scale simulations using statistical methods, with the focus on simulations of epitaxial growth. First, the statistical-physics background behind Monte Carlo simulations is briefly described.
openaire +2 more sources
Radiation‐Resistant Kr‐Selective MOF With Record Kr/Xe Selectivity at Elevated Pressure
Advanced Science, EarlyView.ABSTRACT The separation of Kr/Xe from spent nuclear fuel off‐gas is critical, yet most current adsorbents exhibit Xe‐Kr co‐adsorption under elevated pressures, posing challenges for industrial pressure swing adsorption processes. Herein, we present and evaluate a metal‐organic framework, CALF‐20M‐w, engineered for molecular sieving separation of Kr/Xe ...
Qihang Tian +6 more
wiley +1 more source
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
, 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 +7 more
core
Advanced Science, EarlyView.A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni +10 more
wiley +1 more source