| 1 |
Combining pyrolysis-two-dimensional gas chromatography-time-of-flight mass spectrometry with hierarchical cluster analysis for rapid identification of pyrolytic interactions: Case study of co-pyrolysis of PVC and biomass components
Kumagai S, Matsukami A, Kabashima F, Sakurai M, Kanai M, Kameda T, Saito Y, Yoshioka T
Process Safety and Environmental Protection, 143, 91, 2020 |
| 2 |
On the determination of coherent solar climates over a tropical island with a complex topography
Mialhe P, Pohl B, Morel B, Trentmann J, Jumaux G, Bonnardot F, Bessafi M, Chabriat JP
Solar Energy, 206, 508, 2020 |
| 3 |
Heliostat field cleaning scheduling for Solar Power Tower plants: A heuristic approach
Ashley T, Carrizosa E, Fernandez-Cara E
Applied Energy, 235, 653, 2019 |
| 4 |
Label-free Raman imaging of live osteosarcoma cells with multivariate analysis
Li J, Qin J, Zhang X, Wang R, Liang ZW, He QL, Wang Z, Wang KG, Wang S
Applied Microbiology and Biotechnology, 103(16), 6759, 2019 |
| 5 |
Molecular analysis of additives and impurities accumulated on copper electrodeposited layer by time-of-flight secondary ion mass spectrometry
Mroczka R, Lopucki R, Zukocinski G
Applied Surface Science, 463, 412, 2019 |
| 6 |
Effect of mass segment size on polymer ToF-SIMS multivariate analysis using a universal data matrix
Madiona RMT, Winkler DA, Muir BW, Pigram PJ
Applied Surface Science, 478, 465, 2019 |
| 7 |
Conventional German farmers' attitudes towards agricultural wood and their willingness to plant an alley cropping system as an ecological focus area: A cluster analysis
Beer L, Theuvsen L
Biomass & Bioenergy, 125, 63, 2019 |
| 8 |
Macroscopic and microscopic characteristics of particles in a novel gas-solid cyclone reactor
Li AJ, Wang GT, Wang K, Zhu LY, Wang ZB
Chemical Engineering Research & Design, 152, 288, 2019 |
| 9 |
Cluster analysis of Al agglomeration in solid propellant combustion
Xiao LQ, Pang WQ, Qin Z, Li JZ, Fu XL, Fan XZ
Combustion and Flame, 203, 386, 2019 |
| 10 |
An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings
Li KH, Yang RJ, Robinson D, Ma J, Ma ZJ
Energy, 174, 735, 2019 |
