activity
20192026
most citedCharting the low-loss region in Electron Energy Loss Spectroscopy with machine learning

20 citations · 41 across the 4 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

Enhanced Ionic Conductivity of confined Ionic-Liquid in Angstrom-scale 2D channels

Jing Yang, Raj Kumar Gogoi, Chen Ming +10

Understanding ion-transport under molecular confinement is essential for developing next-generation energy technologies, where ionic motion often occurs within nanoscale or angstro…

cond-mat.mtrl-sci2022★ 20 cited

Spatially-Resolved Band Gap and Dielectric Function in 2D Materials from Electron Energy Loss Spectroscopy

Abel Brokkelkamp, Jaco ter Hoeve, Isabel Postmes +6

The electronic properties of two-dimensional (2D) materials depend sensitively on the underlying atomic arrangement down to the monolayer level. Here we present a novel strategy fo…

cond-mat.mtrl-sci2020★ 1 cited

Illuminating the electronic properties of WS polytypism with electron microscopy

Sabrya E. van Heijst, Masaki Mukai, Eiji Okunishi +5

Tailoring the specific stacking sequences (polytypes) of layered materials represents a powerful strategy to identify and design novel physical properties. While nanostructures bui…

cond-mat.mtrl-sci2020★ 20 cited

Charting the low-loss region in Electron Energy Loss Spectroscopy with machine learning

Laurien I. Roest, Sabrya E. van Heijst, Louis Maduro +2

Exploiting the information provided by electron energy-loss spectroscopy (EELS) requires reliable access to the low-loss region where the zero-loss peak (ZLP) often overwhelms the…

cond-mat.mtrl-sci2019

Metallic edge states in zig-zag vertically-oriented MoS2 nanowalls

Miguel Tinoco, Louis Maduro, Sonia Conesa-Boj

The remarkable properties of layered materials such as MoS2 strongly depend on their dimensionality. Beyond manipulating their dimensions, it has been predicted that the electronic…