화학공학소재연구정보센터
검색결과 : 118건
No. Article
1 Selection Criteria for Metal Precursors and Solvents for Targeted Synthesis of Metallic Nanostructures Via Kinetic Control in the Polyol Process
Kaneko H, Matsumoto T, Huaman JLC, Ishijima M, Suzuki K, Miyamura H, Balachandran J
Inorganic Chemistry, 60(5), 3025, 2021
2 Porous Self-Assembled Molecular Networks as Templates for Chiral-Position-Controlled Chemical Functionalization of Graphitic Surfaces
Tahara K, Kubo Y, Hashimoto S, Ishikawa T, Kaneko H, Brown A, Hirsch BE, De Feyter S, Tobe Y
Journal of the American Chemical Society, 142(16), 7699, 2020
3 Formulation of the excess absorption in infrared spectra by numerical decomposition for effective process monitoring
Shibayama S, Kaneko H, Funatsu K
Computers & Chemical Engineering, 113, 86, 2018
4 Selective Use of Adaptive Models Considering the Prediction Efficiencies
Yuge N, Tanaka K, Kaneko H, Funatsu K
Industrial & Engineering Chemistry Research, 57(42), 14286, 2018
5 On Generative Topographic Mapping and Graph Theory combined approach for unsupervised non-linear data visualization and fault identification
Escobar MS, Kaneko H, Funatsu K
Computers & Chemical Engineering, 98, 113, 2017
6 Improvement of Process State Recognition Performance by Noise Reduction with Smoothing Methods
Kaneko H, Funatsu K
Journal of Chemical Engineering of Japan, 50(6), 422, 2017
7 A Novel Photocathode Material for Sunlight-Driven Overall Water Splitting: Solid Solution of ZnSe and Cu(In,Ga)Se-2
Kaneko H, Minegishi T, Nakabayashi M, Shibata N, Kuang YB, Yamada T, Domen K
Advanced Functional Materials, 26(25), 4570, 2016
8 Ensemble locally weighted partial least squares as a just-in-time modeling method
Kaneko H, Funatsu K
AIChE Journal, 62(3), 717, 2016
9 Development of an Adaptive Experimental Design Method Based on Probability of Achieving a Target Range through Parallel Experiments
Nakao A, Kaneko H, Funatsu K
Industrial & Engineering Chemistry Research, 55(19), 5726, 2016
10 Combined generative topographic mapping and graph theory unsupervised approach for nonlinear fault identification
Escobar MS, Kaneko H, Funatsu K
AIChE Journal, 61(5), 1559, 2015