Alexander Goscinski

202020212022202320241 28 42 27 13

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Michele CeriottiAssociate Professor at EPFL, Institute of MaterialsVerified email at epfl.ch
Guillaume FrauxPost-doctoral researcher at EPFL, Institute of MaterialsVerified email at epfl.ch
Félix MusilPostDoc at FU BerlinVerified email at zedat.fu-berlin.de
Max VeitPostdoc, Aalto UniversityVerified email at aalto.fi
Giulio ImbalzanoEPFLVerified email at epfl.ch
Jigyasa NigamPhD student at EPFLVerified email at epfl.ch
Sergey N. PozdnyakovÉcole polytechnique fédérale de LausanneVerified email at epfl.ch

Alexander Goscinski

PhD student, EPFL

Verified email at epfl.ch - Homepage


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Efficient implementation of atom-density representations F Musil, M Veit, A Goscinski, G Fraux, MJ Willatt, M Stricker, T Junge, ... The Journal of Chemical Physics 154 (11), 114109, 2021	51	2021
The role of feature space in atomistic learning A Goscinski, G Fraux, G Imbalzano, M Ceriotti Machine Learning: Science and Technology 2 (2), 025028, 2021	32	2021
Optimal radial basis for density-based atomic representations A Goscinski, F Musil, S Pozdnyakov, J Nigam, M Ceriotti The Journal of Chemical Physics 155 (10), 104106, 2021	22	2021
scikit-matter: A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science A Goscinski, VP Principe, G Fraux, S Kliavinek, BA Helfrecht, P Loche, ... Open Research Europe 3, 81, 2023	6	2023
The parallel Grover as dynamic system A Goscinski arXiv preprint arXiv:1808.03347, 2018		2018

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