Imaging functionality of nanomaterials with ultrafast EUV/soft X-ray microscopy
Giulia Fulvia Mancini a
a Laboratory for Ultrafast X-ray and Electron Microscopy (LUXEM), Department of Physics, University of Pavia, I-27100 Pavia, Italy.
Proceedings of MATSUS Spring 2026 Conference (MATSUSSpring26)
C1 Structural Foundations of Nanomaterials Properties
Barcelona, Spain, 2026 March 23rd - 27th
Organizers: Nadine Schrenker and Stefano Toso
Invited Speaker, Giulia Fulvia Mancini, presentation 725
Publication date: 15th December 2025

Comprehending light-induced functionality in 2D superlattices of ligand-capped nanoparticles requires the direct observation of their interaction with light, in order to disentangle the complex interplay between electronic and structural degrees of freedom across a broad range of length scales, from building-blocks to their longer-range arrangement. Addressing these challenges critically needs new techniques capable of imaging with high spatial and temporal resolution, capable of achieving contrast to: core morphology (size, porosity, assembly), and ligand shells (distribution and composition).

Here, we present an Extreme Ultraviolet (EUV) Ultrafast Microscope relying on a technique for Coherent Diffractive Imaging called Ptychography, which is capable of full-field imaging with diffraction-limited spatial resolution, with  sensitivity to both material quantitative composition (amplitude) and morphological (phase) contrast.

We establish a robust protocol for 2D nanoparticle superlattices capable to visualize core morphology, orientational distribution, porosity. Moreover, we obtain contrast between the organic ligand shells and the core, showing that the ligand orientational distribution is directly linked to the surface morphology of the cores.

G.F.M. gratefully acknowledges support from: the European Union’s Horizon 2020 Research and Innovation Program G.A. no. 851154 (ULTRAIMAGE), ERC Proof of concept 101123123 (HYPER); Fondazione Cariplo 2020-2544 (NANOFAST); Italian Ministry of University and Research (MUR) FARE – grant R207A8MNNJ – PiXiE and PRIN 2022 2022PR7CCY DynaMAT.

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