Results 51 to 60 of about 1,859 (218)

Power-Law Random Graphs’ Robustness: Link Saving and Forest Fire Model

, 2014
We consider random graphs with node degrees drawn independently from a power- law distribution. By computer simulation we study two aspects of graph robustness: preserving graph connectivity and node saving in the forest fire model, considering two types
Yury Pavlov, Marina Leri
core   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

Advanced Science, EarlyView.
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen, Dingru Li, Yingna Liao, Zehua Wang, Chunbin Zhu, Zifeng Zhang, Liquan Jin, Yueyue Chen, Jiaoshun Chen, Junyi Xu, Miaoyan Wei, Rong Tang, Xianjun Yu, Si Shi   +13 more
wiley   +1 more source

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs

, 2020
International audienceWe study properties of Graph Convolutional Networks (GCNs) by analyzing their behavior on standard models of random graphs, where nodes are represented by random latent variables and edges are drawn according to a similarity kernel.
Bietti, Alberto, Keriven, Nicolas, Vaiter, Samuel   +2 more
core  

Optimal Paths on the Space-Time SINR Random Graph

, 2011
International audienceWe analyze a class of Signal-to-Interference-and-Noise-Ratio (SINR) random graphs. These random graphs arise in the modeling packet transmissions in wireless networks.
Bartłomiej Błaszczyszyn, Mir-Omid Haji-Mirsadeghi, Baccelli, François, François Baccelli, Blaszczyszyn, Bartlomiej, Mirsadeghi, Mir Omid Haji   +5 more
core   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

An application of the Lovasz-Schrijver M(K,K) operator to the stable set problem [PDF]

, 2009
Although the lift-and-project operators of Lovász and Schrijver have been the subject of intense study, their M(K, K) operator has received little attention. We consider an application of this operator to the stable set problem.
Rossi, F, Smriglio, S, Giandomenico, M, Letchford, A N   +3 more
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A Triple‐Nanoparticle System for Controlled Graphene Nanosheet Stacking: Enabling K/Na‐Ion Battery Anodes with Ultra‐Fast Charging Exceeding Petroleum Vehicle Refueling

Advanced Science, EarlyView.
ABSTRACT Large‐ion (K, Na) battery systems mitigate uneven global lithium distribution, while their ability to attain recharge time shorter than refueling would remove the final barrier for secondary batteries to replace petroleum vehicles. However, their large‐ion chemistry makes ultra‐fast charging an even significant challenge.
Shukai Ding, Le Zhang, Hang Li, Yang Zhang, Guoquan Suo, Bin Han, Dongfeng Sun, Wenqi Zhao, Gaohui Du, Qingmei Su, Bingshe Xu, Zhen Xu, Wei Wang   +12 more
wiley   +1 more source

Network partitioning techniques based on network natural properties for power system application

, 2002
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 10/04/2002.In this thesis, the problem of partitioning a network into interconnected sub-networks is addressed. The goal is to achieve a partitioning which
Alkhelaiwi, Ali Mani Turki
core  

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source