Results 91 to 100 of about 9,833,490 (279)

An attack-defense game on interdependent networks

Journal of the Operational Research Society, 2020
This paper analyzes the optimal strategies for an attacker and a defender in an attack-defense game on a network consisting of interdependent subnetworks. The defender moves first and allocates its resource to protect the network nodes. The attacker then
R. Peng, Di Wu, Mengyao Sun, Shaomin Wu
semanticscholar   +1 more source

Diagram of interdependent infrastructure networks.

, 2018
Diagram of interdependent infrastructure networks.
Jingjing Kong (2322235), Slobodan P. Simonovic (2815654), Chao Zhang (51048)   +2 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Popularity enhances the interdependent network reciprocity

New Journal of Physics, 2018
Interdependent networks (IN) are collections of non-trivially interrelated graphs that are not physically connected, and provide a more realistic representation of real-world networked systems as compared to traditional isolated networks.
Chen Liu, Chen Shen, Yini Geng, Shudong Li, Chengyi Xia, Zhihong Tian, Lei Shi, Ruiwu Wang, Stefano Boccaletti, Zhen Wang   +9 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Reliability Analysis of Interdependent Networks Using Percolation Theory

, 2013
International audienceMany complex systems have functional interdependency between each other and can be modeled as interdependent networks. The failure of a small fraction of nodes in interdependent networks may lead to catastrophic cascading failures ...
Li, Daqing, Zhang, Peng, Rui Kang, Zhang, Qiong, Daqing Li, Qiong Zhang, Kang, Rui, Peng Zhang, Enrico Zio, Zio, Enrico   +9 more
core   +1 more source

Robustness of interdependent random geometric networks [PDF]

, 2016
We propose an interdependent random geometric graph (RGG) model for interdependent networks. Based on this model, we study the robustness of two interdependent spatially embedded networks where interdependence exists between geographically nearby nodes ...
Modiano, Eytan H, Jianan Zhang, Zhang, Jianan, Yeh, Edmund, Eytan Modiano, Edmund Yeh   +5 more
core   +1 more source

Sustainable Poly(Lactic Acid)/Graphene Oxide Bioelectronic Platform for Neurotransmitters Sensing and Tunable Stimulation of Astrocytes

Advanced Materials, EarlyView.
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà, Giulia Cazzador, Roberta Fabbri, Matteo Calosi, Alessandro Silvestri, Andrea Candini, Fabiola Liscio, Franco Corticelli, Aikaterini Konstantoulaki, Andrea D'Iorio, Marco Caprini, Vincenzo Palermo, Monica Bertoldo, Valentina Benfenati, Chiara Zanardi, Emanuele Treossi   +15 more
wiley   +1 more source

Robustness Analysis of Interdependent Networks for Cascading Failure

, 2019
: For guiding interdependent system construction and improving its vulnerability, it is helpful to research on the robustness of interdependent networks.
Yu, Wang, Li, Congdong, Cao, Cejun, Li, Wenbo   +3 more
core   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source