activity
20102026
most citedOn the structure and topography of free-standing chemically modified graphene

64 citations · 75 across the 8 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026

Nanometer-scale operando electric field mapping in oxide junctions by correlative STEM-EBIC and 4D-STEM

Yining Xie, Eoin Moynihan, Xingyao Li +5

Understanding local electric fields at oxide interfaces is essential for linking interfacial electrostatics to device functionality, yet conventional electrical measurements infer…

cond-mat.mtrl-sci2026

Resolving competing distortions in Ca0.4Sr0.6TiO3 using complementary electron and X-ray techniques

Robin Sjökvist, Catriona A. Crawford, Richard Beanland +1

We present a study of the perovskite Ca0.4Sr0.6TiO3 using variable temperature transmission electron microscopy (TEM) and powder X-ray diffraction (PXRD). At room temperature and b…

cond-mat.mtrl-sci2026

Accurate and Efficient Interatomic Potentials for Dislocations in InP

Thomas Rocke, Thomas Hudson, Richard Beanland +1

We present Atomic Cluster Expansion (ACE) and MACE models trained on a new dataset of Density Functional Theory (DFT) calculations, constructed for the task of studying the mobilit…

cond-mat.mtrl-sci2025

The Microscopic Structure of Stacking Faults in SrNaNbO

Robin Sjökvist, Yining Xie, Zabeada Aslam +4

Stacking faults and other topological defects in ferroics can have a significant influence on the electronic and mechanical properties of the material. Here, regular stacking fault…

physics.ins-det2025

Template masks for 4D-STEM

Yining Xie, Eoin Moynihan, Marin Alexe +3

We present a new analysis method for atomic resolution four-dimensional scanning transmission electron microscopy (4D-STEM, in which a diffraction pattern is collected at each poin…

cond-mat.mtrl-sci2025

Large-Angle Convergent-Beam Electron Diffraction Patterns via Conditional Generative Adversarial Networks

Joseph J. Webb, Richard Beanland, Rudolf A. Römer

We show how generative machine learning can be used for the rapid computation of strongly dynamical electron diffraction directly from crystal structures, specifically in large-ang…

physics.comp-ph2022

Modelling fine-sliced three dimensional electron diffraction data with dynamical Bloch-wave simulations

Anton Cleverley, Richard Beanland

Recent interest in structure solution and refinement using electron diffraction (ED) has been fuelled by its inherent advantages when applied to crystals of sub-micron size, as wel…

cond-mat.mtrl-sci2018★ 11 cited

Structure refinement from 'Digital' Large Angle Convergent Beam Electron Diffraction Patterns

Alex Hubert, Rudolf A. Römer, Richard Beanland

We use semi-automated data acquisition and processing to produce digital large angle CBED (D-LACBED) patterns. We demonstrate refinements of atomic coordinates and isotropic Debye-…

cond-mat.mes-hall2010★ 64 cited

On the structure and topography of free-standing chemically modified graphene

N R Wilson, P A Pandey, R Beanland +4

The mechanical, electrical and chemical properties of chemically modified graphene (CMG) are intrinsically linked to its structure. Here we report on our study of the topographic s…