Results 161 to 170 of about 7,552,651 (318)
Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film
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
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
On pre-inflationary non Gaussianities
A bstract We explore the three-point amplitude of curvature perturbations in scenarios suggested by high-scale supersymmetry breaking in String Theory, where the inflaton is forced to climb a steep exponential potential.
M. Meo, A. Sagnotti
openaire +2 more sources
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
Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-Space Model with Correlated Errors [PDF]
This article introduces a new efficient simulation smoother and disturbance smoother for general state-space models where there exists a correlation between error terms of the measurement and state equations.
Toshiaki Watanabe, Yasuhiro Omori
core
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
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
Sub-Bath Cooling in Bosonic Systems: Gaussian Constraints and Non-Gaussian Enhancements
Cooling quantum systems with finite resources is a central task in quantum technologies and has been extensively explored in discrete-variable settings.
Wen-Han Png, Xueyuan Hu, Valerio Scarani
doaj +1 more source
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
Nonparametric identification of linearizations and uncertainty using Gaussian process models – application to robust wheel slip control [PDF]
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
core
Sequential and Programmable Squeezing Gates for Optical Non-Gaussian Input States
Quantum computing has been pursued with various hardware platforms and an optical system is one of the most reasonable choices for large-scale computation.
Takato Yoshida +8 more
doaj +1 more source

