Results 161 to 170 of about 667,125 (317)
Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film
Advanced Functional Materials, EarlyView.ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu +7 more
wiley +1 more source
Estimating the Joint Probability of Scenario Parameters With Gaussian Mixture Copula Models
IEEE Open Journal of Intelligent Transportation SystemsThis paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems. Knowledge of the joint probability distribution of scenario parameters is
Christian Reichenbacher +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
, 2012 Sensitivity of output of a linear operator to its input can be quantified in various ways. In Control Theory, the input is usually interpreted as disturbance and the output is to be minimized in some sense.
Diamond, Phil +2 more
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Geometry of smooth Gaussian fields
Gaussian fields are ubiquitous in probability as they are scaling limits of many natural objects, and in applied science as they are instrumental in modelling natural phenomena.
Hegde, Akshay Sateesh
core +1 more source
Nonparametric identification of linearizations and uncertainty using Gaussian process models – application to robust wheel slip control [PDF]
, 2005 Gaussian process prior models offer a nonparametric approach to modelling unknown nonlinear systems from experimental data. These are flexible models which automatically adapt their model complexity to the available data, and which give not only mean ...
Hansen, J. +2 more
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Advanced Functional Materials, EarlyView.Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg +6 more
wiley +1 more source
An R Package for a General Class of Inverse Gaussian Distributions
The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed.
Hugo Hernández +2 more
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