Results 131 to 140 of about 11,939,645 (246)
Flat Bands Induced by Non‐Collinear Antiferromagnetism in CoBi2Te4
Flat bands emerge at the edges of intrinsically non‐collinear antiferromagnetic CoBi2Te4 two‐septuple layers through the interplay of spin–orbit coupling–driven band inversion and non‐collinear antiferromagnetism, uncovering a previously unexplored mechanism for flat‐band formation and opening new opportunities for strongly correlated quantum states ...
Ziyuan Zhao +4 more
wiley +1 more source
Monte Carlo method for assessment of a multimodal insertable biosensor. [PDF]
Fine J, McShane MJ, Coté GL.
europepmc +1 more source
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv +10 more
wiley +1 more source
Markov Chain Monte Carlo Technology [PDF]
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core
Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport. [PDF]
Kangasniemi J +3 more
europepmc +1 more source
Structural Quantification of the Surface-Confined Metal-Organic Precursors Simulated with the Lattice Monte Carlo Method. [PDF]
Lisiecki J, Szabelski P.
europepmc +1 more source
Peptide‐inspired associative polymers with arginine‐like guanidinium stickers and lysine‐like ammonium spacers undergo chain collapse and liquid‐liquid phase separation induced by reversible sticker associations. Sticker valence and tunable association strength jointly control the phase behavior, chain conformation, and interfacial cohesion of these ...
Seung‐Hwan Oh +7 more
wiley +1 more source
Adaptive radial-based direction sampling; Some flexible and robust Monte Carlo integration methods [PDF]
Adaptive radial-based direction sampling (ARDS) algorithms are specified for Bayesian analysis of models with nonelliptical, possibly, multimodal target distributions.A key step is a radial-based transformation to directions and distances.
Dijk, H.K. van +3 more
core
Applying Monte Carlo Method for Straight-Line Model Sensor Calibration. [PDF]
Ramos PM, Janeiro FM.
europepmc +1 more source
Numerical Study of Gas Flow in Super Nanoporous Materials Using the Direct Simulation Monte-Carlo Method. [PDF]
Shariati V, Roohi E, Ebrahimi A.
europepmc +1 more source

