Results 101 to 110 of about 529,167 (319)

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

Cause analysis approach for work safety accidents in urban gas pipeline network based on AcciMap-BN

You-qi chuyun
[Objective] Work safety accidents in urban gas pipeline networks have been increasing in frequency in recent years in China,causing significant negative impacts on public security.
SUN Yilin, ZHENG Xiaoqiang, LIU Danxiu, HE Yanyan   +3 more
doaj   +1 more source

Bayesian-Optimization-Based Peak Searching Algorithm for Clustering in Wireless Sensor Networks [PDF]

, 2018
Tianyu Zhang, Qian Zhao, Kilho Shin, Yukikazu Nakamoto   +3 more
openalex   +1 more source

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source

Seismic performance analysis based on Bayesian network [PDF]

, 2017
Hao Li, Lang Wu, Jian Tang, Xucong Liu
openalex   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

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

In Situ Polymerized Composite Electrolytes for High‐Performance Solid‐State Lithium Batteries: A Review

Advanced Science, EarlyView.
This review systematically explores the recent advances in in situ polymerized composite polymer electrolytes (CPEs) for solid‐state lithium batteries. It covers the fundamentals of reaction mechanisms, monomer chemistry, and their impact on interfacial stability, ionic conductivity, and electrochemical performance.
Jialin Li, Yufen Yan, Xiaoju Wang, Yuhui Huang, Zhen Huang, Lingjie Zhang, Ningzhong Bao, Zijian Hong, Yongjun Wu, Dali Ji   +9 more
wiley   +1 more source

Joint Radar-Communication-Based Bayesian Predictive Beamforming for Vehicular Networks [PDF]

, 2020
Weijie Yuan, Fan Liu, Christos Masouros, Jinhong Yuan, Derrick Wing Kwan Ng   +4 more
openalex   +1 more source

Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data [PDF]

, 2022
Fangting Zhou, Kejun He, Kunbo Wang, Yanxun Xu, Yang Ni   +4 more
openalex   +1 more source