Cite
Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge Equilibration.
MLA
Gubler, Moritz, et al. “Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge Equilibration.” Journal of Chemical Theory & Computation, vol. 20, no. 16, Aug. 2024, pp. 7264–71. EBSCOhost, https://doi.org/10.1021/acs.jctc.4c00334.
APA
Gubler, M., Finkler, J. A., Schäfer, M. R., Behler, J., & Goedecker, S. (2024). Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge Equilibration. Journal of Chemical Theory & Computation, 20(16), 7264–7271. https://doi.org/10.1021/acs.jctc.4c00334
Chicago
Gubler, Moritz, Jonas A. Finkler, Moritz R. Schäfer, Jörg Behler, and Stefan Goedecker. 2024. “Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge Equilibration.” Journal of Chemical Theory & Computation 20 (16): 7264–71. doi:10.1021/acs.jctc.4c00334.