Classifying Diverse Structural Motifs of Spontaneously Crystallized Ice in Supercooled Water from a Colossal Dataset Collected At EuXFEL — ASN Events

Classifying Diverse Structural Motifs of Spontaneously Crystallized Ice in Supercooled Water from a Colossal Dataset Collected At EuXFEL — ASN Events

Classifying Diverse Structural Motifs of Spontaneously Crystallized Ice in Supercooled Water from a Colossal Dataset Collected At EuXFEL

Classifying Diverse Structural Motifs of Spontaneously Crystallized Ice in Supercooled Water from a Colossal Dataset Collected At EuXFEL (114735)

Ervin S.H. Chia ¹ , Carl Caleman ² , Nicusor Timneanu ² , Andrew V. Martin ³ , Jonas A. Sellberg ⁴ , Filipe R.N.C. Maia ⁵ , Duane N. Loh ¹

National University of Singapore, Singapore, SINGAPORE
Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
School of Science, RMIT University, Melbourne, Victoria, Australia
Department of Applied Physics, KTH Royal Institute of Technology, Stockholm, Sweden
Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden

Authors contributing to this presentation.

Chia, E.S

Currently a PhD (Physics) Student at the National University of Singapore in Assoc. Prof. Duane Loh's group. Research focus includes structural inference and data exploration from heavily signal-limited diffraction imaging modalities such as 4DSTEM and X-ray serial crystallography.

Caleman, C

Timneanu, N

Martin, A.V

Sellberg, J.A

Maia, F.R

Loh, D.N