APA   Click to copy
Iqbal, J., & Akbar, Y. (2026). TensorFlow-based deep learning framework for thermodynamic and entropy generation analysis of dihydrogen oxide-based nanofluids. International Journal of Hydrogen Energy, 201, 152947. https://doi.org/10.1016/j.ijhydene.2025.152947

Chicago/Turabian   Click to copy
Iqbal, Jamshaid, and Yasir Akbar. “TensorFlow-Based Deep Learning Framework for Thermodynamic and Entropy Generation Analysis of Dihydrogen Oxide-Based Nanofluids.” International Journal of Hydrogen Energy 201 (2026): 152947.

MLA   Click to copy
Iqbal, Jamshaid, and Yasir Akbar. “TensorFlow-Based Deep Learning Framework for Thermodynamic and Entropy Generation Analysis of Dihydrogen Oxide-Based Nanofluids.” International Journal of Hydrogen Energy, vol. 201, 2026, p. 152947, doi:10.1016/j.ijhydene.2025.152947.

@article{iqbal2026a,
  title = {TensorFlow-based deep learning framework for thermodynamic and entropy generation analysis of dihydrogen oxide-based nanofluids},
  year = {2026},
  journal = {International Journal of Hydrogen Energy},
  pages = {152947},
  volume = {201},
  doi = {10.1016/j.ijhydene.2025.152947},
  author = {Iqbal, Jamshaid and Akbar, Yasir}
}