Results 51 to 60 of about 122,014 (258)
Performance analysis of layered random beamforming OFMDA with feedback reduction [PDF]
, 2007 This paper presents a downlink performance analysis of a Layered Random Beamforming (LRB) - MIMO-OFDMA Physical Layer (PHY) with feedback reduction as applicable to future generation wireless communication systems.
Joe McGeehan +9 more
core +1 more source
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
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
On the Csorgo-Révész increments of finite dimensional Gaussian random fields [PDF]
In this paper, we establish some limit theorems on the combined Csorgo-Révész increments with moduli of continuity for finite dimensional Gaussian random fields under mild conditions, via estimating upper bounds of large deviation probabilities on ...
Kyo-Shin Hwang +3 more
core
Towards large scale continuous EDA: a random matrix theory perspective
, 2013 Estimation of distribution algorithms (EDA) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are able to ...
Kabán, Ata +5 more
core +1 more source
Learning generative texture models with extended Fields-of-Experts [PDF]
, 2009 We evaluate the ability of the popular Field-of-Experts (FoE) to model structure in images. As a test case we focus on modeling synthetic and natural textures.
Geoffrey E. Hinton +5 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
Gaussian zonoids, Gaussian determinants and Gaussian random fields
Theory of Probability and Mathematical StatisticsWe study the Vitale zonoid (a convex body related to a probability distribution) associated to a non-centered Gaussian vector. This defines a family of convex bodies, that contains and generalizes ellipsoids, which we call Gaussian zonoids .
openaire +2 more sources
Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites
Advanced Functional Materials, EarlyView.A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim +13 more
wiley +1 more source
Biasing in Gaussian Random Fields and Galaxy Correlations
The Astrophysical Journal, 2000 16 pages, 3 figures, minor changes and corrected some typos to match the version in Astrophysical Journal Letters (2000)
Gabrielli, Andrea +2 more
openaire +5 more sources