Results 101 to 110 of about 1,219 (252)

No Longer Discrete:Modeling the Dynamics of Social Networks and Continuous Behavior [PDF]

, 2019
The dynamics of individual behavior are related to the dynamics of the social structures in which individuals are embedded. This implies that in order to study social mechanisms such as social selection or peer influence, we need to model the evolution ...
Snijders, Tom A. B.; id_orcid, Niezink, Nynke M. D., Snijders, Tom A. B., van Duijn, Marijtje A. J., van Duijn, Marijtje A. J.; id_orcid   +4 more
core   +1 more source

Friendship between banks: An application of an actor-oriented model of network formation on interbank credit relations [PDF]

, 2014
This paper investigates the driving forces behind banks' link formation in the interbank market by applying the stochastic actor oriented model (SAOM) developed in sociology. Our data consists of quarterly networks constructed from the transactions on an
Finger, Karl, Lux, Thomas
core   +2 more sources

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

Advanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke, Jackson Hoke, Shucheng Guo, Brittany Chan, Xi Chen   +4 more
wiley   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 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

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

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

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

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li, Bohong Chang, Jianqiu Gong, Xianglang Sun, Francesco Vanin, Chunlei Zhang, Zexin Yu, Ning Wang, Dong Zhang, Baoze Liu, Liangchen Qian, Xinhui Lu, Haipeng Lu, Mingjie Li, Danpeng Gao, Bo Li, Zonglong Zhu   +16 more
wiley   +1 more source