Results 121 to 130 of about 12,927,533 (245)
Markov chain Monte Carlo methods for hierarchical clustering of dynamic causal models. [PDF]
Yao Y, Stephan KE.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung +12 more
wiley +1 more source
Random Gel'fand Approximation Between Anisotropic Spaces and Function Spaces With Mixed Smoothness
This paper investigates the complexity associated with function approximation between anisotropic spaces and spaces of mixed smoothness within the framework of adaptive Monte Carlo methods.
Bo Feng +3 more
doaj +1 more source
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. [PDF]
Li K, Zhou W, Li H, Anastasio MA.
europepmc +1 more source
Cation Diffusion‐Mediated Displaced Reaction‐Transformation in Green Steelmaking
The removal of O lattice atoms by environmental H2 at the surface of Fe3O4 results in Fe enrichment, driving the inward diffusion of Fe cations into the bulk. Through hopping between unoccupied and initially occupied sites, cation diffusion triggers a spatially displaced reaction‐transformation and drives subsequent dynamic phase transformations and ...
Guangyi Guo +7 more
wiley +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core
Polydopamine nanoparticles enable a precise, non‐genetic, and transcranial neuromodulation strategy via near‐infrared photothermal stimulation. By activating TRPV1 channels, this approach specifically enhances hippocampal gamma oscillations, thereby rescuing spatial memory deficits in models of perioperative neurocognitive disorder.
Yan‐Bo Zhou +10 more
wiley +1 more source
A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg +16 more
wiley +1 more source
Sterol engineering enables precise control of mRNA lipid nanoparticles by tuning membrane organization. Replacing cholesterol with bile acid‐derived sterols redirects protein expression from the liver to the spleen. Notably, CA‐20 LNP enhances antigen‐specific immune responses while exhibiting a favorable safety profile, highlighting sterols as a ...
Sanghyuk Jeon +27 more
wiley +1 more source

