SUBJECTS : Chemistry | Reviews | Thematic Issue
CHIMIA: 2023, vol: 77, issue: 1-2
- 1)- Miruna Cretu, Marvin Alberts, Anubhab Chakraborty, Artem Leonov, Amol Thakkar, Teodoro Laino. Tools for Synthesis Planning, Automation, and Analytical Data Analysis. Chimia. 2023, 77 (1-2): 17-21
Cited : 1Read More - 2)- Kjell Jorner. Putting Chemical Knowledge to Work in Machine Learning for Reactivity. Chimia. 2023, 77 (1-2): 22-30Cited : 3Read More
- 3)- Jeff Guo, Bojana Ranković, Philippe Schwaller. Bayesian Optimization for Chemical Reactions. Chimia. 2023, 77 (1-2): 31-38Cited : 11Read More
- 4)- Simone Gallarati, Puck Van Gerwen, Alexandre A Schoepfer, Ruben Laplaza, Clemence Corminboeuf. Genetic Algorithms for the Discovery of Homogeneous Catalysts. Chimia. 2023, 77 (1-2): 39-47Cited : 3Read More
- 5)- Hiroko Satoh, Jasmin Hafner, Jürg Hutter, Kathrin Fenner. Can AI Help Improve Water Quality? Towards the Prediction of Degradation of Micropollutants in Wastewater. Chimia. 2023, 77 (1-2): 48-55Cited : 2Read More
- 6)- Daniel Probst. The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry. Chimia. 2023, 77 (1-2): 56-61Cited : 0Read More
- 7)- Rosaria Ciriminna, Mario Pagliaro. The Role of the Journal Impact Factor in Chemistry Research. Chimia. 2023, 77 (1-2): 62-65Cited : 2Read More
- 8)- Daniel Pacheco Gutierrez, Linnea M Folkmann, Hermann Tribukait, Loïc M Roch. How to Accelerate R&D and Optimize Experiment Planning with Machine Learning and Data Science. Chimia. 2023, 77 (1-2): 7-16Cited : 6Read More
