中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
过程工程研究所 [14]
采集方式
OAI收割 [14]
内容类型
期刊论文 [14]
发表日期
2023 [3]
2022 [5]
2021 [4]
2018 [2]
学科主题
Monte Carl... [1]
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专题:过程工程研究所
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Revisiting the structure, interaction, and dynamical property of ionic liquid from the deep learning force field
期刊论文
OAI收割
JOURNAL OF POWER SOURCES, 2023, 卷号: 555, 页码: 8
作者:
Ling, Yulong
;
Li, Kun
;
Wang, Mi
;
Lu, Junfeng
;
Wang, Chenlu
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/02/24
Ionic liquids
Molecular dynamics simulations
Force field
Hydrogen bond
Machine learning
Performance prediction of disc and doughnut extraction columns using bayes optimization algorithm-based machine learning models
期刊论文
OAI收割
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2023, 卷号: 183, 页码: 11
作者:
Su, Zhenning
;
Wang, Yong
;
Tan, Boren
;
Cheng, Quanzhong
;
Duan, Xiaofei
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/05/19
Pulsed disk and doughnut column
Machine learning
Modeling
Feature importance
基于人工神经网络的非均匀固相应力模型
期刊论文
OAI收割
力学学报, 2023, 卷号: 55, 期号: 2, 页码: 532
作者:
吴雪岩
;
李煜
;
谢妍妍
;
李飞
;
陈昇
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/06/21
two-phase flow
multiphase particle-in-cell
heterogeneous solid stress
machine learning
fluidization
两相流
多相质点网格法
非均匀固相应力
机器学习
流态化
Process optimization of biomass gasification with a Monte Carlo approach and random forest algorithm
期刊论文
OAI收割
Energy Conversion and Management, 2022, 卷号: 264
作者:
Fang, Yi
;
Ma, Li
;
Yao, Zhiyi
;
Li, Wangliang
;
You, Siming
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/06/26
Biomass - Decision trees - Forecasting - Gasification - Intelligent systems - Kinetic parameters - Kinetic theory - Machine learning - Normal distribution - Optimization - Particle size - Synthesis gas - Thermal conductivity
Insights into the Mechanism of Ozone Activation and Singlet Oxygen Generation on N-Doped Defective Nanocarbons: A DFT and Machine Learning Study
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2022, 卷号: 56, 期号: 12, 页码: 7853-7863
作者:
Yu, Guangfei
;
Wu, Yiqiu
;
Cao, Hongbin
;
Ge, Qingfeng
;
Dai, Qin
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/02/24
catalytic ozonation
DFT
machine learning N-doped nanocarbons
ozone activation mechanism
Machine learning-aided optimization of coal decoupling combustion for lowering NO and CO emissions simultaneously
期刊论文
OAI收割
COMPUTERS & CHEMICAL ENGINEERING, 2022, 卷号: 162, 页码: 11
作者:
Jin, Nani
;
Guo, Li
;
Liu, Xinhua
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/24
Machine learning
Deep neural network
Gated recurrent unit
Decoupling combustion
Pollutant emission
Coal stove
A critical review on microbial degradation of petroleum-based plastics: quantitatively effects of chemical addition in cultivation media on biodegradation efficiency
期刊论文
OAI收割
BIODEGRADATION, 2022, 页码: 16
作者:
Sun, Yong
;
Hu, Jing
;
Yusuf, Abubakar
;
Wang, Yixiao
;
Jin, Huan
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/06/15
Petroleum-based plastic
Quantitative assessment
Supervised machine learning
Artificial neuron networks
Optimal design of large-scale solar-aided hydrogen production process via machine learning based optimisation framework
期刊论文
OAI收割
APPLIED ENERGY, 2022, 卷号: 305, 页码: 18
作者:
Wang, Wanrong
;
Ma, Yingjie
;
Maroufmashat, Azadeh
;
Zhang, Nan
;
Li, Jie
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/06/15
Solar energy
Hydrogen
Machine learning
Hybrid optimization algorithm
Surrogate model
Utilization of phosphogypsum waste through a temperature swing recyclable acid process and its application for transesterification
期刊论文
OAI收割
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2021, 卷号: 156, 页码: 295-303
作者:
Li, Houli
;
Hu, Jin
;
Wang, Yixiao
;
An, Xuebin
;
Tang, Mingzhu
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/15
Phosphogypsum
Biodiesel
Catalyst
Machine learning optimization
Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients in industrial crystallization
期刊论文
OAI收割
FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:
Ma, Yiming
;
Gao, Zhenguo
;
Shi, Peng
;
Chen, Mingyang
;
Wu, Songgu
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/06/15
solubility prediction
machine learning
artificial neural network
random decision forests