화학공학소재연구정보센터
검색결과 : 15건
No. Article
1 The promise of artificial intelligence in chemical engineering: Is it here, finally?
Venkatasubramanian V
AIChE Journal, 65(2), 466, 2019
2 Bayesian probabilistic modeling in pharmaceutical process development
Tabora JE, Gonzalez FL, Tom JW
AIChE Journal, 65(11), 2019
3 Blind identification of fully observed linear time-varying systems via sparse recovery
Dobbe R, Liu S, Yuan Y, Tomlin C
Automatica, 100, 330, 2019
4 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
5 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
6 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
7 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
8 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
9 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
10 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