화학공학소재연구정보센터
검색결과 : 14건
No. Article
1 The promise of artificial intelligence in chemical engineering: Is it here, finally?
Venkatasubramanian V
AIChE Journal, 65(2), 466, 2019
2 Blind identification of fully observed linear time-varying systems via sparse recovery
Dobbe R, Liu S, Yuan Y, Tomlin C
Automatica, 100, 330, 2019
3 Realistic interplays between data science and chemical engineering in the first quarter of the 21st century: Facts and a vision
Piccione PM
Chemical Engineering Research & Design, 147, 668, 2019
4 Virtual Reaction Condition Optimization based on Machine Learning for a Small Number of Experiments in High-dimensional Continuous and Discrete Variables
Fujinami M, Seino J, Nukazawa T, Ishida S, Iwamoto T, Nakai H
Chemistry Letters, 48(8), 961, 2019
5 SS-DAC: A systematic framework for selecting the best modeling approach and pre-processing for spectroscopic data
Rato TJ, Reis MS
Computers & Chemical Engineering, 128, 437, 2019
6 What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
Miller C
Energy and Buildings, 199, 523, 2019
7 Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling
Radaideh MI, Kozlowski T
International Journal of Energy Research, 43(14), 7866, 2019
8 Prediction of Detonation Velocity and N-O Composition of High Energy C-H-N-O Explosives by Means of Artificial Neural Networks
Chandrasekaran N, Oommen C, Kumar VRS, Lukin AN, Abrukov VS, Anufrieva DA
Propellants Explosives Pyrotechnics, 44(5), 579, 2019
9 3D visualization and analysis of dislocation clusters in multicrystalline silicon ingot by approach of data science
Hayama Y, Matsumoto T, Muramatsu T, Kutsukake K, Kudo H, Usami N
Solar Energy Materials and Solar Cells, 189, 239, 2019
10 Machine learning for crystal identification and discovery
Spellings M, Glotzer SC
AIChE Journal, 64(6), 2198, 2018