Jan 15, 2024 · We present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided four ...

Feb 17, 2023 · Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine ...

Here, we present a new approach to characterize the local atomic structure and map structural variants in the amorphous phase using machine learning (ML) aided ...

Mapping Local Atomic Structure of Metallic Glasses Using Machine Learning Aided 4d-Stem ... Preprints and early-stage research may not have been peer reviewed yet ...

Title. Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM ; Is Part Of. Acta materialia, 2024-01, Vol.263, p.119495, Article ...

Request PDF | On Nov 1, 2023, S.J. Kang and others published Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM | Find, ...

Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM ; Journal: Acta Materialia, 2024, p. 119495 ; Publisher: Elsevier BV.

摘要, Amorphous materials such as polymers, metallic and oxidic glasses consist of heterogeneous atomic/molecular packing at the nanoscale.

Nov 4, 2023 · Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM ; Publikationsdatum, 15.01.2024 ; Sprache, Englisch.

Mapping local atomic structure of metallic glasses using machine learning aided 4D-STEM. Sangjun Kang, Vanessa Wollersen, Christian Minnert, Karsten Durst ...