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UK Positron Meeting 2024

4–5 Apr 2024
University College London
Europe/London timezone

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Session

Material Science

5 Apr 2024, 10:30
Harrie Massey Lecture Theatre (University College London)

Harrie Massey Lecture Theatre

University College London

Conveners

Material Science

  • Mark Law (University of Aberdeen)

Presentation materials

There are no materials yet.

  1. 6. Laser-driven positrons sources for Positron Annihilation Lifetime Spectroscopy
    Temour Foster (Queen's University Belfast)
    05/04/2024, 10:30

    Positron Annihilation Lifetime Spectroscopy (PALS) is one of the most effective material analysis techniques at detecting sub-nanometer defects in materials. Current conventional PALS facilities use positron beams of low keV energies and long durations, resulting in poor penetration depth and durations similar to the annihilation lifetime (~150ps), therefore giving poor resolution. By using...

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  2. 8. Detection and Identification of Vacancy Defects in Antimony Selenide
    Prof. David Keeble (University of Dundee)
    05/04/2024, 11:00

    Antimony selenide (Sb$_2$Se$_3$) is photovoltaic material with an optimal bandgap and a high optical absorption coefficient comprising of earth abundant elements. Solar cell power conversion efficiencies initially increased markedly but more recently the rate of increase has slowed. There is a large open circuit voltage consistent with the presence of detrimental concentrations of point...

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  3. 10. Vacancy defect identification in lead halide perovskite materials
    Mr Aryaveer Singh (Physics, SUPA, School of Science and Engineering, University of Dundee, Dundee DD1 4HN, United Kingdom)
    05/04/2024, 11:30

    There is intensive focus on the development of lead halide perovskite for a range of photonic devices including solar cells and gamma-ray detectors. Lead occupies the perovskite B-site where it is octahedrally coordinated by halide anions, while the larger A-site accommodates a small organic molecular ion, for example, methylammonium (MA) (CH$_3$NH$_3$$^+$). The rapid development has, in part,...

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  4. 22. Neural Network Variational Monte Carlo for Positronic Chemistry
    Gino Cassella (Imperial College)
    05/04/2024, 12:00
    Talk

    In recent years, several authors have demonstrated that deep neural networks can produce excellent representations of the many-body wavefunction for use in variational Monte Carlo calculations of the ground-state properties of atoms, small molecules, and simple solids. In this talk, I will briefly introduce the principle of neural network variational Monte Carlo, and discuss how it is quite...

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