Jakab-Nácsa, A.; Garami, A.; Fiser, B.; Farkas, L.; Viskolcz, B.
Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation. Int. J. Mol. Sci. 2023, 24, 11461.
https://doi.org/10.3390/ijms241411461
AMA Style
Jakab-Nácsa A, Garami A, Fiser B, Farkas L, Viskolcz B.
Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation. International Journal of Molecular Sciences. 2023; 24(14):11461.
https://doi.org/10.3390/ijms241411461
Chicago/Turabian Style
Jakab-Nácsa, Alexandra, Attila Garami, Béla Fiser, László Farkas, and Béla Viskolcz.
2023. "Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation" International Journal of Molecular Sciences 24, no. 14: 11461.
https://doi.org/10.3390/ijms241411461
APA Style
Jakab-Nácsa, A., Garami, A., Fiser, B., Farkas, L., & Viskolcz, B.
(2023). Towards Machine Learning in Heterogeneous Catalysis—A Case Study of 2,4-Dinitrotoluene Hydrogenation. International Journal of Molecular Sciences, 24(14), 11461.
https://doi.org/10.3390/ijms241411461