Results 151 to 160 of about 167,971 (313)
Advanced Materials, EarlyView.Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Memory Window and Endurance Improvement of Hf0.5Zr0.5O2-Based FeFETs with ZrO2 Seed Layers Characterized by Fast Voltage Pulse Measurements. [PDF]
Nanoscale Res Lett, 2019 Xiao W +9 more
europepmc +1 more source
Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models [PDF]
We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP
Axel Groß-Klußmann, Nikolaus Hautsch
core
Advanced Materials, EarlyView.A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Contributions of synaptic filters to models of synaptically stored memory
, 2013 The question of how neural systems encode memories in one-shot without immediately disrupting previously stored information has puzzled theoretical neuroscientists for years and it is the central topic of this thesis.
Lagogiannis, Konstantinos
core
Identifying Optimal Window Size Configurations for Big Data Time Series Forecasting
Optimal window sizing in time series forecasting emerges as a pivotal factor for enhancing predictive accuracy, particularly in the volatile cryptocurrency market.
Binnewies, Sebastian +2 more
core +1 more source
Actuation of Cell Layers in Three Dimensions
Advanced Materials, EarlyView.ABSTRACT The alignment of fibers and cells in living tissues affect their mechanical properties and functionality. In this context, one can draw an analogy between tissues and nematic liquid crystal elastomers. We explore this analogy by growing fibroblasts on 2D‐patterned substrates and observing the contraction of cell sheets upon detachment from the
Kirsten Endresen +6 more
wiley +1 more source
Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers [PDF]
This paper studies the dynamics of the traditional cobweb model with risk averse heterogeneous producers who seek to learn the distribution of asset prices using a geometric decay processes (GDP) - the expected mean and variance are estimated as a ...
Xue-Zhong He +2 more
core
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source