Frontiers of Multi-scale Modeling in Materials, Energy & Catalysis XI

Europe/Berlin
Haus der bayerischen Landwirtschaft, Rieder Str. 70, 82211 Herrsching am Ammersee, Germany

 

Scientific Background

Modern computational science has established itself as a key contributor in the understanding and interpretation of complex processes in physics, chemistry and material science. The key challenge in the quest for a quantitative understanding lies in a coherent treatment of molecular-level mechanisms underlying macroscopic phenomena in chemical processing. At present this is an issue that receives even further impetus from the basic energy science perspective, which will ultimately enable a rational design of novel catalysts, efficient energy suppliers, and improved production strategies.

Efforts combined across multiple disciplines are the key to comprehensively linking the insights that modeling and simulations can provide across all relevant length and time scales: at the molecular level, first-principles electronic-structure calculations unravel the making and breaking of chemical bonds. At the mesoscopic scale, statistical simulations account for the interplay between all elementary steps involved in catalytic and energy processes. Finally, at the macroscopic scale continuum theories yield the effect of heat and mass transfer, ultimately scaling up to a plant or device-wide simulation. Multi-scale modeling thus finds its strength in a diversity of scientific backgrounds that ranges from physics and theoretical chemistry to chemical engineering. This diversity, however, also renders the promotion of internal communication and scientific exchange all the more essential.

 

    • Session 1: Theory of Heat and Charge Transport
      • 1
        Data-Driven Modelling of Biomolecular Self-Assembly Processes
        Speaker: Carlo Camilloni
      • 2
        Non-Parametric Solid-State Embedding for NMR Computations using All-Electron DFT
        Speaker: Federico Civaia
      • 3
        Crossing Boundaries? Probing Ion Conduction across Interfaces in Solid Electrolytes using Computational NMR Spectroscopy
        Speaker: Tabea Huss
      • 4
        Assessing Dataset Composition and Transferability in Machine Learning-Based NMR Predictions of Solid-State Electrolytes: A Case Study on LLZO and NPS
        Speaker: Javier Valenzuela Reina
      • 18:00
        Dinner
    • Session 2: Heterogenous and Electrocatalysis
      • 5
        Multiscale Embedding Approaches for Catalytic Chemistry
        Speaker: Andrew Logsdail
      • 6
        Automatic Exploration of Catalytic Reaction Network
        Speaker: Hyunwook Jung
      • 7
        Revisiting Cu(111): Solving the Conundrum around the Early Surface Oxidation
        Speaker: Felix Riccius
    • Coffee break
    • Session 3: Selectivity in Catalysis
      • 8
        Advanced Modelling of Catalytic Reactions at the Electrochemical Interface
        Speaker: Katariina Honkala
      • 9
        Grand Canonical Energetics from Canonical Free Energy Sampling of Electrochemical Reactions
        Speaker: Elias Diesen
      • 10
        Diversity-Driven Active Learning of Interatomic Potentials Applied to Automatic Reaction Network Exploration
        Speaker: Francesco Cannizzaro
      • 11
        Some progress toward useful accelerated dynamics methods, but more challenges
        Speaker: Graeme Henkelman
    • Lunch
    • Session 4: Battery Materials and Technology
      • 12
        Born to Vibe: From Vibrational Modes to IR and Raman Intensities
        Speaker: Chritstoph Dähn
      • 13
        Permittivity Function from First Principles for Phonon Polariton Modelling
        Speaker: Elena Gelžinytė
    • Poster Session I
      • 14
        Towards Time-Dependent Electronic Structure Methods for Large Systems
        Speaker: Lydia Fichte
      • 15
        Superresolution for Real-Time TDDFT, Enabling Spectral Predictions of Large Molecules
        Speaker: Alexander Gorfer
      • 16
        Beyond Ion Dynamics: Efficient Charge Transport Simulations Including Polarons at the Battery Scale
        Speaker: Matteo Rinaldi
      • 17
        Accurate Yet Efficient Description of Small and Large Polarons
        Speaker: Daria Ustimchuk
      • 18
        Coupling Mass Transport to Surface Kinetics in Models of Electrocatalytic Selectivity
        Speaker: Hemanth Pillai
      • 19
        From Efficiency to Accuracy: Benchmarking Optimizers on General Purpose Machine-Learned Potential Energy Surfaces
        Speaker: David Greten
      • 20
        Hopping Down the Rabbit Hole: Exploration of the RuO2 Surface Stability
        Speaker: Cedric Hannemann
      • 21
        How Prevalent is Disorder in Computationally Predicted Materials?
        Speaker: Konstantin Jakob
      • 22
        Investigating Photocharged States in Solar Battery Materials
        Speaker: Leon Müller
      • 23
        Predicting Binding Energies at the Electrified Metal-Water Interface
        Speaker: Ann-Kathrin Bergmann
      • 24
        Revisiting the Origins of Electrocatalytic Activity: the Enthalpy-Entropy Compensation in HER
        Speaker: Andrew Wong
      • 25
        SISSO-based Screening of Novel Binary Metal Alloys Catalysts for Ammonia Oxidation Reaction
        Speaker: Emanuel Colombi Manzi
      • 26
        Toward Novel 2D Materials Beyond Nature: Prediction of Phase Stability and Structural Properties
        Speaker: Tomoko Yokaichiya
      • 27
        Towards The Study of Dissolution of IrO2 Surface During OER Employing MLIP
        Speaker: Jimiben Patel
    • 18:00
      Dinner
    • Session 5: Chemical Machine Learning
      • 28
        Finite Temperature Crystal Structure Predict
        Speaker: Matt Probert
      • 29
        Charting Catalysis: Unveiling Regime Boundaries in Kinetic Phase Diagrams Through Concentration Profiles
        Speaker: Maryke Kouyate
      • 30
        ddmo: A Data Driven Model Optimization for Python
        Speaker: Gianmarco Ducci
      • 31
        ESEM Automation - Dual Magnification & Advanced Automation
        Speaker: Maurits Vuijk
      • 32
        Innovating Catalytic Feature Engineering for Self-Driving Labs
        Speaker: Charles Percival Warren Pare
    • Coffee break
    • Session 5: Chemical Machine Learning
      • 33
        Charge Equilibration in Machine Learning Potentials
        Speaker: Martin Vondrak
      • 34
        Bayesian Uncertainty Estimates for Spin-Component-Scaled Second-Order Møller-Plesset Perturbation Theory
        Speaker: Elisabeth Keller
      • 35
        Towards Theoretical UV/Vis Spectra with Experimental Accuracy. Benchmarks for Spiropyran Photoswitches
        Speaker: Robert Strothmann
    • Lunch
    • Conference Outing
    • 18:30
      Dinner
    • Session 5: Chemical Machine Learning
      • 36
        Surface Nanoclustering of Cu(111) and Cu(100) During CO Electro-Oxidation in Alkaline Electrolytes
        Speaker: Andrea Auer
      • 37
        Splitting Water Without Falling Apart: Accelerating the Understanding of NiFeV LDH via Genetic Algorithms
        Speaker: Juan Manuel Lombardi
      • 38
        Graphene Flakes on Autopilot: Toward Autonomous Growth Control of 2‑D Materials with ViT‑Based World Models
        Speaker: Damián Baláž
      • 39
        From Electron Conductivity to Polaron Hopping in SOEC Interfaces - Using LSM Thin Films on YSZ as a Model System
        Speaker: Patricia König
    • Coffee break
    • Session 6: Semi-empirical Methods
      • 40
        (Expert) Material Informatics @ Freudenberg
        Speaker: Christian Kunkel
      • 41
        Combining DFTB and Structure-Mapping for the Prediction of Transition Paths in Deactivation of ZnO@Cu Catalysts
        Speaker: Artem Samtsevych
      • 42
        Hard Carbon Done Right: Swarm Intelligence Ensemble Generation to Realise Full Atomic Decorrelation
        Speaker: Julian Holland
    • Lunch
    • Session 7: Electrochemical Modelling
      • 43
        Charge Transfer Rate Theories: Why? Which one? What for?
        Speaker: Harald Oberhofer
      • 44
        On RAZOR's Edge: Are Electrified Solid/Liquid Interfaces within the Reach of ML?
        Speaker: Nicolas Bergmann
      • 45
        Electron Spillover into Water Layers: A Quantum Leap in Understanding Capacitance Behavior
        Speaker: Lang Li
    • Poster Session II
      • 46
        Towards Extracting Reaction Mechanisms from Automatic Process Exploration
        Speaker: Aditya Kumar
      • 47
        Coupling kinetic Monte-Carlo and Continuum Models with Noise Aware Sparse Grids
        Speaker: Tobias Hülser
      • 48
        Towards Automated Reaction Control and Inverse Reactivity Reconstruction in Compact Profile Reactors
        Speaker: Jinyi Zhou
      • 49
        Modelling LLZO Grain Boundaries with Amorphous Domains by Adaptively Trained Machine-Learning Interatomic Potentials
        Speaker: Yuandong Wang
      • 50
        Deciphering Electrochemical Barriers: Hammond's Postulate in Electrochemistry
        Speaker: Julius Lonnes
      • 51
        A Framework for Sparse Kinetic Monte-Carlo Models
        Speaker: Bat-Amgalan Bat-Erdene
      • 52
        A Solar Battolyzer Approach: On Demand Hydrogen Production and Energy Storage in 2D materials
        Speaker: Yu-Te Chan
      • 53
        Advanced Framework for State of Health Estimation Using Equivalent Circuit Models and Machine Learning
        Speaker: Limei Jin
      • 54
        Designing Novel Intermediate Temperature Proton-conducting Electrolytes for Solid Oxide Fuel Cells
        Speaker: Yun An
      • 55
        GAP vs. MACE: Efficiency Evaluation in a Liquid Electrolyte System
        Speaker: Anton Beiesdorfer
      • 56
        Kinetic Monte Carlo Simulations of Interaction Dynamics: From Prey-Predator Models to Opinion Dynamics
        Speaker: Fatemeh 'Negin' Tavakkoli
      • 57
        Navigating the Latent Space of Chemical Solid State Reactions in Hybrid Battery Interfaces
        Speaker: Sina Jennifer Ziegler
      • 58
        On the Significance of the Interfacial Capacitance in the Description of Grand-Canonical Energetics
        Speaker: Hedda Oschinski
      • 59
        Predicting the Electronic Structure from Machine Learning
        Speaker: Maximilian Ach
      • 60
        Revisiting the Origins of Electrocatalytic Activity: the Enthalpy-Entropy Compensation in HER
        Speaker: Barbara Sumic
      • 61
        Study of Metalloporphyrins Complex Single-Atom Electrocatalyst on Graphene
        Speaker: Zhe Yun
    • 18:00
      Dinner
    • Rochus Schmid and Katharina Doblhoff-Dier
      • 62
        Electrochemical Interfaces: From Ion Solvation to Dielectric Profiles and Back Again
        Speaker: Katharina Doblhoff-Dier
      • 63
        Force Field Models for the Simulation of Phase Transformations of MOFs
        Speaker: Schmid Rochus
    • Coffee break
    • Session 8: Catalysis and Multiscale Modelling
      • 64
        Bayesian Inference for Chemical Kinetics Models via Normalizing Flows
        Speaker: Andreas Panagiotopoulos
      • 65
        Understanding Catalyst Restructuring with Automatic Process Exploration and Local Environment Analysis
        Speaker: Patricia Poths
      • 66
        Efficient Kinetic Monte Carlo Simulations of Ionic Transport with Long-Range Coulomb Interactions on Cubic Lattices
        Speaker: Roya Ebrahimi Viand
    • Lunch