HAXPES AMRSF Library

Library database for elemental quantification using lab-based HAXPES (Ga Ka X-ray source hv = 9.25 keV)

HAXPES Poster

A poster demonstrating, with some examples, the capability of new lab-based HAXPES in the Henry Royce Institut

Dataset: Hard X-rays and inelastic background modelling extend photoelectron spectroscopy below the surface for the detection of buried layers

Data associated with the publication, B. F. Spencer et al., 2020, "Hard X-rays and inelastic background modelling extend photoelectron spectroscopy below the surface for the detection of buried layers

Understanding the growth mechanism of L-cystine crystal using three dimentional Monte-Carlo simulation_ Zulaikha Alharthi

These are the supplementary videos of Zulaikha's thesis entitled: understanding the growth mechanism of L-cystine crystals vis three-dimensional Monte-Carlo simulation. The objective of these materials is to give more insight into the details of the growth mechanism of L-cystine crystals using insitu AFM microscopy and CrystalGrower package. This study investigated the mechanism by which L-cystine imposter (L-cystine dimethyl ester, L-cystine methyl ester and N-acetyl L-cysteine) inhibit the crystal grwoth. The changes in crystal morphology, as well as polymorph, was interpreted using kinetic Monte-Carlo simulation. The changes in the crystal habit from hexagonal disc to hexagon prism is proved by poisoning certain sites in ab plane where the ring-like conformation of H-bonding was disrupted. The changes on the crystal surface were investigated using AFM. The study deciphers the influence of stress around the dislocation core in both growth and dissolution processes. The growth of L-cystine was followed using insitu AFM. The presence of two different types of dislocations on the surface and their importance on the growth, the different types of stress and the details of dissolution spirals are examples of the results obtained via AFM. These results are explained using CrystalGrower and extended to kinetic perspectives using simulation output. Like molecular crystals, L-cystine is characterised by anisotropic bonding that shows a couple of interesting features on the crystal surface. These were detailed using AFM. These are finger-like structures, islands amidst growing layers, composite spirals, multi-spirals and a sequence of steps colliding and annihilating each other. The finger features were successfully simulated and explained in view of growth anisotropy in the main growth directions of the crystal

Cyclotron resonance of AlGaAs/GaAs and AlGaN/GaN heterostructures using terahertz magnetospectroscopy

Data pertaining to the publication, “Terahertz cyclotron resonance spectroscopy of an AlGaN/GaN heterostructure using a high-field pulsed magnet and an asynchronous optical sampling technique,” by B. F. Spencer et al., Applied Physics Letters 2016

Live SEM Demonstration: Introduction to EBSD Setup

In this session, the SEM PC screens were streamed via Zoom while we demonstrated, step by step, how to set up an EBSD map, concentrating on: EBSD geometries, SEM conditions, EBSD pattern optimisation and indexing settings. The tutorial was aimed at new EBSD users, but more advanced users may also find this a good refresher session and learn something new

CCDC 1499746: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures

Clustered Vehicle Routing Problem - test instances

Defryn, C., & Sörensen, K. (2017). A fast two-level variable neighborhood search for the clustered vehicle routing problem. Computers & Operations Research, 83, 78-94

Clustered Vehicle Routing Problem - test instances

Defryn, C., & Sörensen, K. (2017). A fast two-level variable neighborhood search for the clustered vehicle routing problem. Computers & Operations Research, 83, 78-94