Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design

Julio J. Valdés, Alain B. Tchagang. Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023. pages 1-8, IEEE, 2023. [doi]

@inproceedings{ValdesT23,
  title = {Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design},
  author = {Julio J. Valdés and Alain B. Tchagang},
  year = {2023},
  doi = {10.1109/IJCNN54540.2023.10191737},
  url = {https://doi.org/10.1109/IJCNN54540.2023.10191737},
  researchr = {https://researchr.org/publication/ValdesT23},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-8867-9},
}