Results 101 to 110 of about 3,393 (263)

The Belt and Road Initiative and Behavioral Reshaping in Global Medical Goods Trade Networks: A Core-Periphery Perspective

SAGE Open
Against the backdrop of frequent trade frictions, this study draws on world system theory (WST) to investigate how inequalities caused by the “core-periphery” structure influence differences in countries’ trade behavior, and explores the mechanisms by ...
Linqing Liu, Weiran Wang, Qiang Wang, Jiajie Tang   +3 more
doaj   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Explaining the structure of inter-organizational networks using exponential random graph models: does proximity matter? [PDF]

A key question raised in recent years is which factors determine the structure of inter-organizational networks. While the focus has primarily been on different forms of proximity between organizations, which are determinants at the dyad level, recently ...
Tom Broekel, Matte Hartog
core  

Estimation of stochastic actor-oriented models for the evolution of networks by generalized method of moments.

Journal de la Société Française de Statistique, 2015
The stochastic actor-oriented model (Snijders, Sociological Methodology, 2001) models the evolution of networks over time, given panel data in a fixed group of actors, where at each panel wave the network between these actors (a digraph structure) as well as attribute variables for these actors are observed.
Amati V, Schönenberger F, Snijders T A B   +2 more
openaire   +2 more sources

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Graphical discovery in stochastic actor-oriented models for social network analysis

, 2017
This work presented in this thesis combines statistical models for social networks and network visualization in new and exciting ways. In Chapter 1, a thorough review of the literature in the topics of statistical network models and network visualization
Tyner, Samantha
core  

Stochastic actor-based models decomposing interdependent substance use into increases (creation function) and decreases (endowment function).

, 2018
Stochastic actor-based models decomposing interdependent substance use into increases (creation function) and decreases (endowment function).
Cynthia M. Lakon (678646), Carter T. Butts (700464), John R. Hipp (508272), Cheng Wang (102692)   +3 more
core   +1 more source

Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors [PDF]

The efficient Bayesian estimation method using Markov chain Monte Carlo is proposed for a multivariate stochastic volatility model that is a natural extension of the univariate stochastic volatility model with leverage and heavy-tailed errors, where we ...
Yasuhiro Omori, Tsunehiro Ishihara
core   +4 more sources

2D Materials Empowered Radar Absorbing Materials: A Review

Advanced Electronic Materials, EarlyView.
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong, Shuncong Zhong, Yi Huang, Shan‐Tung Tu, Minghong Wu   +4 more
wiley   +1 more source