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Knowing The Spec to Explore The Design via Transformed Bayesian Optimization
会议论文
PROCEEDINGS - DESIGN AUTOMATION CONFERENCE, San Francisco, CA, United states, June 23, 2024 - June 27, 2024
作者:
Donger, Luo
;
Qi, Sun
;
Xinheng, Li
;
Chen, Bai
;
Bei, Yu
Adobe PDF(1430Kb)
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浏览/下载:141/5
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提交时间:2024/12/27
Gaussian distribution
Integrated circuit design
Optimal systems
Pareto principle
Printed circuit design
Problem oriented languages
Space applications
System-on-chip
Architecture designs
Bayesian optimization
Chip design
Chip-scale
Design space exploration
Design specification
Exploration methods
Language model
Pareto front
SoC architecture
Continuous laser two-way time-frequency transfer in the presence of motion
会议论文
PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, Shenzhen, China, November 10, 2023 - November 12, 2023
作者:
Shi, Jiawen
;
Yang, Fei
;
Cao, Kang
;
Sun, Yanguang
;
Zhang, Xuejiao
Adobe PDF(391Kb)
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浏览/下载:180/0
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提交时间:2024/05/24
Phase locked loops
Space applications
Space platforms
Continuous lasers
Digital phase locked loops
Doppler frequency shift
Free spaces
Frequency transfer
High-precision
Platform motion
Time and frequency transfers
Time frequency
Two ways
High-throughput and machine learning approaches for the discovery of metal organic frameworks
期刊论文
APL MATERIALS, 2023, 卷号: 11, 期号: 6
作者:
Zhang, Xiangyu
;
Xu, Zezhao
;
Wang, Zidi
;
Liu, Huiyu
;
Zhao, Yingbo
Adobe PDF(5405Kb)
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浏览/下载:646/182
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提交时间:2023/06/30
Machine learning
Metal-Organic Frameworks
Porous materials
Current situation
Diverse applications
Experimental methods
High-throughput
Infinite material
Machine learning approaches
Material space
Metalorganic frameworks (MOFs)
Nanoporous Materials
Traditional materials
Effect of Surface Defect Engineering on Proton Conductivity in Yttrium-Doped Barium Zirconate Thin Films
期刊论文
THE JOURNAL OF PHYSICAL CHEMISTRY C, 2023, 卷号: 127, 期号: 19, 页码: 8937-8945
作者:
Wang Yifan
;
Wang Luyao
;
Chen Yu
;
Hu Xiangchen
;
Yu Yi
Adobe PDF(5681Kb)
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浏览/下载:521/4
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提交时间:2023/05/07
Activation energy
Electrochemical impedance spectroscopy
Electrolytes
Fuel cells
Plasma applications
Proton conductivity
Temperature
Thin films
Ceramic fuel cells
Defect engineering
Fuel cell application
Intermediateto-low temperature (ILT)
Lattice discontinuities
Proton transport
Protonic
Space charge effects
Thin-films
Yttrium-doped
Simplified deep forest model based just-in-time defect prediction for android mobile apps
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 2, 页码: 848-859
作者:
Kunsong Zhao
;
Zhou Xu
;
Tao Zhang
;
Yutian Tang
;
Meng Yan
Adobe PDF(3900Kb)
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浏览/下载:288/0
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提交时间:2021/12/03
Classification (of information)
Defects
Forecasting
Forestry
Just in time production
Quality assurance
Cascade structures
Classification models
Comparative methods
Data representations
Defect prediction
Explosive growth
High
dimensional feature space
Performance indicators
Mobile applications
Predictive models
Feature extraction
Task analysis
Open source software
Vegetation
Deep forest
feature representation learning
just-in-time (JIT) defect prediction
mobile apps
quality assurance
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