Publications of Chiara Panosetti

Anníes, S., C. Scheurer and C. Panosetti: The intrinsic electrostatic dielectric behaviour of graphite anodes in Li-ion batteries-Across the entire functional range of charge. Electrochimica Acta 444, 141966 (2023).

Lee, Y., J. Timmermann, C. Panosetti, C. Scheurer and K. Reuter: Staged Training of Machine-Learning Potentials from Small to Large Surface Unit Cells: Efficient Global Structure Determination of the RuO₂(100)-c(2 × 2) Reconstruction and (410) Vicinal. The Journal of Physical Chemistry C 127 (35), 17599–17608 (2023).

Panosetti, C., Y. Lee, A. Samtsevych and C. Scheurer: Black box vs gray box: Comparing GAP and GPrep-DFTB for ruthenium and ruthenium oxide. The Journal of Chemical Physics 158 (22), 224115 (2023).

Bauer, M.N., M.I.J. Probert and C. Panosetti: Systematic Comparison of Genetic Algorithm and Basin Hopping Approaches to the Global Optimization of Si(111) Surface Reconstructions. The Journal of Physical Chemistry A 126 (19), 3043–3056 (2022).

Anniés, S., C. Panosetti, M. Voronenko, D. Mauth, C. Rahe and C. Scheurer: Accessing Structural, Electronic, Transport and Mesoscale Properties of Li-GICs via a Complete DFTB Model with Machine-Learned Repulsion Potential. Materials 14 (21), 6633 (2021).

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Samtsevych, A., Y. Song, T. van der Heide, B. Aradi, B. Hourahine, R.J. Maurer, K. Reuter, C. Scheurer and C. Panosetti: DSKO: dancing through DFTB parameterization., in press.