Results 101 to 110 of about 88,517 (260)
Confirmation Bias in Gaussian Mixture Models
Confirmation bias, the tendency to interpret information in a way that aligns with one's preconceptions, can profoundly impact scientific research, leading to conclusions that reflect the researcher's hypotheses even when the observational data do not support them.
Amnon Balanov +2 more
openaire +2 more sources
Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh +3 more
wiley +1 more source
Dopant Distribution in Ga‐Implanted CdO—A Correlative Microscopy and Molecular Dynamics Study
This work demonstrates that ion implantation offset angle could modulate carrier concentration and mobility in cadmium oxide thin films. Combining correlative microscopy workflow and molecular dynamics simulations, this study reveals the control of interfacial cluster density with tailoring implantation angles, and the optimum offset angle that ...
Morvarid Ghorbani +7 more
wiley +1 more source
Parsimonious ultrametric Gaussian mixture models
AbstractGaussian mixture models represent a conceptually and mathematically elegant class of models for casting the density of a heterogeneous population where the observed data is collected from a population composed of a finite set of G homogeneous subpopulations with a Gaussian distribution.
Cavicchia, C, Vichi, M, Zaccaria, G
openaire +3 more sources
This work presents a ligand‐pairing strategy that reconstructs lead sulfide quantum dot surfaces for efficient short‐wave infrared optoelectronics. A low‐reactivity thiourea precursor combined with hydrobromic acid enables monodisperse and fully passivated quantum dots.
Dongeon Kim +16 more
wiley +1 more source
Molecular rotors are fluorescent molecules that are sensitive to viscosity and temperature variations in the environment. They exhibit a direct correlation between fluorescence and viscosity within Newtonian fluids. However, this correlation becomes less straightforward in complex systems.
Flavia Di Scala +6 more
wiley +1 more source
Gaussian Mixture Model with Rare Events
We study here a Gaussian Mixture Model (GMM) with rare events data. In this case, the commonly used Expectation-Maximization (EM) algorithm exhibits extremely slow numerical convergence rate. To theoretically understand this phenomenon, we formulate the numerical convergence problem of the EM algorithm with rare events data as a problem about a ...
Xuetong Li +2 more
openaire +3 more sources
A new class of sulfur‐free, oxygen‐bridged dibenzofuran‐based polymers is developed for ultrahigh‐refractive‐index applications. The rigid π‐extended architecture and enhanced molecular polarizability enable exceptional optical performance, combining refractive indices up to 1.848 with high Abbe numbers and full visible transparency. This work offers a
Hend A. Hegazy +5 more
wiley +1 more source
Gaussian Mixture Flow Matching Models
ICML 2025.
Hansheng Chen 0001 +7 more
openaire +3 more sources
Tailored Diketopyrrolopyrrole Derivatives for Efficient Deep‐Red Organic Lasers
Tailored diketopyrrolopyrrole derivatives exhibit high stable amplified spontaneous emission with single or dual bands. Incorporated into distributed‐feedback lasers based on one‐ and two‐dimensional dichromated‐gelatin diffractive gratings, these materials provide a robust, flexible platform for integrated organic deep‐red light sources. ABSTRACT Deep‐
Pablo Pasqués‐Gramage +10 more
wiley +1 more source

