E. Küçükbenli

Advanced capabilities for materials modelling with Quantum ESPRESSO

Stefano de Gironcoli, R. Distasio, R. Car, 2017, Journal of physics. Condensed matter : an Institute of Physics journal.

Reproducibility in density functional theory calculations of solids

Stefano de Gironcoli, D. Hamann, A. Tkatchenko, 2016, Science.

Advanced capabilities for materials modelling with Quantum ESPRESSO.

Carlo Cavazzoni, Guido Fratesi, Stefano de Gironcoli, 2017, Journal of physics. Condensed matter : an Institute of Physics journal.

Complete 13C NMR chemical shifts assignment for cholesterol crystals by combined CP-MAS spectral editing and ab initio GIPAW calculations with dispersion forces.

Stefano de Gironcoli, E. Küçükbenli, N. Sinha, 2012, The journal of physical chemistry. A.

Structural evolution of amino acid crystals under stress from a non-empirical density functional

Stefano de Gironcoli, T. Thonhauser, E. Küçükbenli, 2012, Journal of physics. Condensed matter : an Institute of Physics journal.

PANNA: Properties from Artificial Neural Network Architectures

Franco Pellegrini, Yusuf Shaidu, Ruggero Lot, 2019, Comput. Phys. Commun..

Development of robust neural-network interatomic potential for molten salt

E. Kaxiras, E. Küçükbenli, Ju Li, 2021 .

ζ-Glycine: insight into the mechanism of a polymorphic phase transition

Stefano de Gironcoli, Emine Küçükbenli, E. Küçükbenli, 2017, IUCrJ.

PANNA 2.0: Efficient neural network interatomic potentials and new architectures

E. Küçükbenli, Yusuf Shaidu, Ruggero Lot, 2023, ArXiv.

and the paradigm.

David A. Strubbe, Micael J. T. Oliveira, Stefano de Gironcoli, 2020 .

Neural network interatomic potentials for open surface nano-mechanics applications

E. Kaxiras, E. Küçükbenli, S. Papanikolaou, 2023, Acta Materialia.