|
161 |
Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model Enthalten in Molecular informatics Bd. 44, 2025, Nr. 1. 9 S.
|
|
|
162 |
Simple User‐Friendly Reaction Format Enthalten in Molecular informatics Bd. 44, 2025, Nr. 1. 8 S.
|
|
|
163 |
Machine learning applications for thermochemical and kinetic property prediction Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 419-449. 031 S.
|
|
|
164 |
Accelerating process control and optimization via machine learning: a review Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 401-418. 018 S.
|
|
|
165 |
A tutorial review of machine learning-based model predictive control methods Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 359-400. 042 S.
|
|
|
166 |
Uncertainty quantification and propagation in atomistic machine learning Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 333-357. 025 S.
|
|
|
167 |
Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 311-331. 021 S.
|
|
|
168 |
Recent developments and prospects of machine learning in chemical engineering Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 4: 309-310. 02 S.
|
|
|
169 |
Flotation equipment automation and intelligent froth feature extraction in flotation process: a review Enthalten in Reviews in chemical engineering Bd. 41, 2025, Nr. 3: 225-239. 15 S.
|
|
|
170 |
Construction of a model for predicting sensory attributes of cosmetic creams using instrumental parameters based on machine learning Enthalten in Applied rheology Bd. 35, 2025, Nr. 1. 20 S.
|
|