Speakers and participants

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ParticipantTalk title
Assoc. Prof. Reinhard Maurer-
Prof. Alexandre Tkatchenko-
Dr. Sarbani Patra-
Dr. Oscar Douglas-GallardoTime-Dependent DFTB and Electronic Friction Theory to simulate light driven dynamics at plasmonic metal surfaces/nanostructures
Dr. Svenja JankeConstructing a Diabatic Hamiltonian for Surface Hopping Calculations at the Example of CO on Au(111)
Dr. Julia WestermayrDevelopment of machine learning to describe excited states of functional organic molecules for high-throughput screening
Dr. Benedikt KleinDFT calculation of adsorption energies and heights at the metal/organic interface
Wojciech StarkGenerating machine learning models of nonadiabatic response for hydrogen dissociation dynamics at metal surfaces
Samuel HallRevealing a self-interaction error from spurious charge transfer artefacts in core-level constrained x-ray spectroscopy of metal-organic interfaces
Dylan MorganVisualisation of aromaticity and antiaromaticity in macrocycles
Shayantan ChaudhuriTowards Single Metal Atom Electrocatalysis on Diamond
Joseph GilkesStacking the odds: Distribution-biased generative deep learning for targeted design of organic electronics
Billal SohailUnderstanding Long-range dispersion interactions in the presence of strong charge transfer at hybrid metal-organic interfaces
James GardnerNQCDynamics.jl: A framework for performing nonadiabatic molecular dynamics with the Julia language
Connor BoxAb initio electronic friction to model energy dissipation on metallic surfaces
Dr. Mario GalanteAnisotropic polarization response and conformational search in polymers
Dr. Pavlo GoriichukUnderstanding of van der Waals forces in thin films of two-dimensional materials
Dr. Igor PoltavskyiTowards ML models for complex systems of hundreds and thousands of atoms
Szabolcs GogerSome practical and fundamental aspects of polarizability
Dr. Ornella VaccarelliOptimized quantum drude oscillators for atomic and molecular response proporties
Matej DitteElectronic systems embedded in charged quantum harmonic oscillators
Mirela PulevaComprehensive analysis of machine-learning kernels for predicting molecular properties
Alessio FallaniTowards the inverse design of molecules with targeted quantum-mechanical properties
Adil KabyldaTowards accurate ML models for large and flexible molecules
Kyunghoon HanNeural-network aided peak-detection algorithms
Dr. Leonardo Medrano SandonasAccurate many-body repulsive potentials for DFTB from deep tensor neural networks
Dr. Matteo GoriSecond quantization strategies for MBD energy coarse-graining

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