Remme, R., Kaczun, T., Scheurer, M., Dreuw, A., & Hamprecht, F. (2023). KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory. The journal of chemical physics, 159(14), . https://doi.org/10.1063/5.0158275
Chicago-Zitierstil (17. Ausg.)Remme, Roman, Tobias Kaczun, Maximilian Scheurer, Andreas Dreuw, und Fred Hamprecht. "KineticNet: Deep Learning a Transferable Kinetic Energy Functional for Orbital-free Density Functional Theory." The Journal of Chemical Physics 159, no. 14 (2023). https://doi.org/10.1063/5.0158275.
MLA-Zitierstil (9. Ausg.)Remme, Roman, et al. "KineticNet: Deep Learning a Transferable Kinetic Energy Functional for Orbital-free Density Functional Theory." The Journal of Chemical Physics, vol. 159, no. 14, 2023, https://doi.org/10.1063/5.0158275.