33 posters, listed alphabetically by presenter

  • High-throughput model for site-specific investigation of alkali metal-based catalysts

    Andi Balaj

    Chalmers University of Technology

  • Understanding thermal transport for wide band gap systems in the La-Sb-O series

    Jack Beattie

    University of Birmingham

  • Electric bubbles for unconventional computing

    Manjunath Raj Betha

    Luxembourg Institute of Science and Technology

  • Optical properties of defects in amorphous phase-change memory materials

    Biswarup Biswas

    University of Turku

  • Machine-learning potentials for finite-temperature simulations of polarons

    Sofia Cellini

    Chalmers University of Technology

  • Disorder in copper chalcogenide photovoltaics

    Philippa Cox

    University of Birmingham

  • Electrochemical conversion of lignin on metals and metal oxides

    Alvaro de la Fuente

    Chalmers University of Technology

  • Dimensionality dependence of charge localization in tin halide perovskites

    Krishna Lyn Delima

    Chalmers University of Technology

  • DFT analysis of Ni doping in Co3O4

    Aybuke Gulkaya

    Eindhoven University of Technology

  • Physics-informed neural networks for phonon transport modelling in thermal interface binding materials

    Pontus Gustafsson

    Chalmers University of Technology

  • Novel ternary compounds (M-C-N) featuring direct semiconducting band gaps and high charge carrier mobility

    Nityasagar Jena

    Linköping University

  • Modelling of grain boundaries and extended defects in metal halide perovskites using machine-learning potentials and DFTB

    Junke Jiang

    University of York

  • Development of a non-polarizable protein force field from scratch using dimer interaction energies

    Julian Köngeter

    Uppsala University

  • Parameterization of an ACE potential to investigate transitions in the phosphorus phase diagram

    Eric Kull

    Malmö University

  • Modelling hydrogen storage on 2D carbon platforms with universal MLIPs

    Luis Martín Encinar

    University of Valladolid

  • Mind the coverage gap: the crucial importance of the pH- and potential-dependent surface coverage in oxygen reduction electrocatalysis

    Kayvan Moradi

    University of Jyväskylä

  • Distinguishing polarons from neutral band-edge localizations

    Kelmend Muriqi

    Chalmers University of Technology

  • Can protopeptides form from hydrogen cyanide?

    Mark Ely Namoro

    Chalmers University of Technology

  • Machine-learned interatomic potentials for modelling water splitting on ferroelectric surfaces

    David Ndrio de Carvalho

    Luxembourg Institute of Science and Technology

  • A foundational machine-learned atomistic energy surface for perovskites

    Jacob Olsson

    Chalmers University of Technology

  • Controlling the phase behaviour of ultraconfined water via bi-layer graphene stacking

    Yixuan Pu

    University College London

  • From electronic structure to excitonic properties: first-principles studies of chiral quantum materials

    Sreeparvathy Puthiya Covilakam

    Eindhoven University of Technology

  • Electromagnetic wave propagation in coralline algae skeletons: are they natural photonic crystals?

    Cristian Ramirez Gutierrez

    Umeå University

  • Investigating PEG Shedding in Lipid Nanoparticles through Coarse Grained PMF Simulations

    Virginia Ramos

    Chalmers University of Technology

  • Systematic increase of force field accuracy using the Alexandria Chemistry Toolkit

    Måns Rosenbaum

    Uppsala University

  • Unsupervised discovery of electronic fine structure in ferroic topologies via disentangling autoencoders

    Issa Saddiq

    Imperial College London

  • Theoretical investigation of ordering-dependent phase transitions in lead scandium tantalate

    Nils Andre Schäfer

    Luxembourg Institute of Science and Technology

  • Modeling of the proton conductivity in MOF-based proton exchange membranes

    Flavian Stavarache

    Eindhoven University of Technology

  • Machine-learned interatomic potentials of ZrO2-based solid solutions for energy storage

    Anurag Verma

    Luxembourg Institute of Science and Technology

  • Anisotropic defect diffusion in halide perovskites

    Konrad Wilke

    Eindhoven University of Technology

  • Discovery of vacancy-stabilized materials: a universal machine learning potential approach

    Suhas Yadav

    University of Oulu

  • On the chirality-controlled growth of single-walled carbon nanotubes through seeding

    Kim-Jonas Ylivainio

    Luleå University of Technology

  • Achieving fast and reliable phase-change memory via heterogeneous coherent interfaces

    Tian-Yu Zhao

    Eindhoven University of Technology

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