Name: Machine Learning Conference for X-Ray and Neutron-Based Experiments, Munich 2024
Start: 2024-04-08T08:00:00+02:00
End: 2024-04-10T19:00:00+02:00
Location: Bürgerhaus Garching

A Deep Learning approach for Gamma spot removal in CCD-based neutron imaging (in session "Posters")

A machine learning-empowered automatic loop centering software tool for macromolecular crystallography beamlines (in session "Session 6")

A method to correct angular distortions in Bragg Coherent X-ray Diffraction Imaging (in session "Posters")

A solid-state electrolyte interface layer-amphiphilic polymer/metal composite nanoarray for lithium metal battery (in session "Posters")

A Study on Minimizing Measurement Time Based on Active Experimentation for Energydispersive X-Ray Diffraction (in session "Posters")

Active-learning assisted neutron spectroscopy: challenges and perspectives (in session "Session 3")

Adaptive X-Ray Reflectivity Measurements using Deep Reinforcement Learning (in session "Session 1")

AI & ML at Diamond – One Year On (in session "Session 5")

AI-supported preclassification of GISAXS images: mathematical identity detection by autoencoders (in session "Posters")

AI/ML-supported evaluation of PGAA data (in session "Posters")

ALSA: Automatic Laue Sample Aligner (in session "Posters")

Analysis and Segmentation of Nucleus with U-Net (in session "Posters")

Analyzing collective excitations using implicit neural representations (in session "Posters")

Analyzing Large Grazing-Incidence X-Ray Scattering Datasets Using INSIGHT (in session "Workshops 1")

Anomaly detection at an X-ray FEL (in session "Session 5")

Artificial intelligence methods for synchrotron radiation image and diffraction data analysis (in session "Posters")

Artificial neural networks, operando X-ray powder diffraction CT and functional devices (in session "Posters")

Assisting users on model selection in small angle neutron scattering experiments (in session "Posters")

Automatized data analysis for surface XRD (in session "Posters")

Autonomous closed-loop experiments through ML-based online analysis in synchrotron beamlines: A case study in x-ray reflectometry (in session "Session 7")

Autonomous experiments in neutron scattering (in session "Session 6")

Autonomous Soft Matter Discovery using X-ray Scattering (in session "Session 6")

Biopolymer-Templated Deposition of Hierarchical 3D-Structured Graphene Oxide/Gold Nanoparticle Hybrids for Surface-Enhanced Raman Scattering (in session "Posters")

Characterization of Mesoporous Zinc Titanate Hybrid Films Using Grazing Incidence Small-angle X-ray Scattering (in session "Posters")

Characterizing quantum materials with scattering experiments and machine learning (in session "Session 2")

Cold, warm, warmer, hot! Impact of distance metrics on autonomous experimentation (in session "Session 7")

Combined phase contrast imaging and diffraction at extreme conditions for determination of kinetic parameters (in session "Session 2")

Conformation of star-like molecular brushes with amphiphilic diblock copolymer side arms (in session "Posters")

CrysFieldExplorer: Rapid Optimization of the Crystal Field Hamiltonian (in session "Posters")

DARTS: The Data Analysis Remote Treatment Service: AI demo (in session "Workshop 2")

Deciphering SASE X-ray Pulse Characteristics with β-Variational Autoencoder Networks (in session "Posters")

Deep learning based approach for speeding up the extraction of morphological parameters in GISAXS data (in session "Posters")

Deep learning-based feature detection on 2D X-ray surface scattering data (in session "Session 1")

Deep Live Phase Retrieval for Ptychography (in session "Posters")

Developments in Event Mode Data Analysis (in session "Posters")

EFFECT OF PEROVSKITE NANOCRYSTAL NUCLEATION SEEDS ON MICROSTRUCTURE AND CRYSTALLIZATION PATHWAYS IN ORGANIC-INORGANIC HALIDE PEROVSKITE THIN FILMS (in session "Posters")

Energy-Dispersive Detection of X-rays with CMOS Cameras: A Machine Learning Approach (in session "Posters")

Enhanced air stability of Tin‑Based Perovskite Solar Cells with Quercetin (in session "Posters")

Equivariant Generative Models: Atomic-Scale Representations from Diffraction Patterns (in session "Session 3")

Establishing Multi-resolution, Multi-modal Data Fusion of Synchrotron Imaging Modalities at Diamond Light Source (in session "Posters")

Exploring the Efficacy of Machine Learning in Interatomic Potentials and Neutron Scattering Spectra Predictions (in session "Posters")

Exploring the limits of the random forest algorithm for the classification of X-ray absorption spectra (in session "Posters")

Fast and reliable crystal structure prediction using random search algorithms and machine learning interatomic potentials (in session "Session 2")

Gaussian processes regression for preliminary data evaluation at DNS (in session "Posters")

Generative machine learning for scattering and spectroscopy data analysis (in session "Session 3")

Generative models for Inverse Problems: The phase retrieval problem from a single distance intensity measurement (in session "Posters")

Grazing-Incidence X-ray Scattering Data for Machine Learning of Neural Networks (in session "Posters")

Hamiltonian-driven modeling using image-recognition-based neural networks in rare-earth spin systems (in session "Posters")

Hermes: A Repository for Autonomous Materials Science (in session "Session 5")

Hierarchical Bayesian approach for adaptive integration of Bragg peaks in time-of-flight neutron scattering data (in session "Posters")

In situ GISAXS investigation of sputtering IZO thin film for optoelectronic applications (in session "Posters")

In situ GISAXS investigation of ternary hybrid diblock copolymer thin films containing two types of magnetic nanoparticles (in session "Posters")

In Situ GIWAXS of Slot-Die Coated Perovskite Quantum Dot Thin-Films (in session "Posters")

In situ study of morphology evolution of block copolymer templated metal oxide films (in session "Posters")

Information theory elements for data analysis (in session "Posters")

Injectable hydrogels from thermoresponsive tri- and tetrablock terpolymers investigated using scattering methods (in session "Posters")

Integrating Machine Learning into X-ray Data Analysis: Insights from GRADES at SOLEIL (in session "Posters")

Investigating gold deposition of HiPIMS and dcMS on Polystyrene, Poly-4-vinylpyridine and Polystyrenesulfonicacid (in session "Posters")

Investigation of detector backlighting and other effects in neutron darkfield images (in session "Posters")

KDSource, an Open-Source Code for the generation of Monte Carlo particle sources using Kernel Density Estimation (in session "Posters")

KI4D4E: Machine Learning Approach for Digital Volume Correlation in 4D Computed Tomography Data at Synchrotron Radiation Beamlines (in session "Posters")

Learning many-body potential energy landscape for analysis of neutron scattering data (in session "Session 4")

Leveraging Automatic Differentiation in Complex Model Fitting (in session "Posters")

Machine Learning (ML)-Assisted Fabrication and Scattering data for Solar Cells (in session "Posters")

Machine Learning applied to Material Science (in session "Session 8")

Machine Learning Approaches on X-ray Scattering Beamline: First results and perspectives (in session "Posters")

Machine learning assisted automation of single crystal neutron diffraction using ReTIA (in session "Session 2")

Machine Learning Basics I (in session "Workshop 3")

Machine Learning Basics II (in session "Workshop 3")

Machine Learning for automatic selection of a nanoparticle analytical model for Small Angle X-Ray Scattering data analysis (in session "Session 7")

Machine learning for the generation of virtual histology images from X-ray phase contrast tomography of biodegradable metal bone implants (in session "Posters")

Machine learning methods research on predicting protein profile parameters by synchrotron radiation small-angle X-ray scattering (in session "Posters")

Machine learning short-range spin correlations in pyrochlore antiferromagnet Gd2Hf2O7 (in session "Posters")

Machine Learning-Based Analysis of X-ray Scattering for Characterizing Guadua Bamboo (in session "Posters")

Machine Learning-based Auto-indexing of Neutron Diffraction Pattern from China Spallation Neutron Source (in session "Posters")

Machine Learning-Based Crystal Structure Direct Prediction from Neutron Powder Diffraction (in session "Posters")

Machine Learning-Based Reconstruction of Quantitative Compositional Maps in Complex Microstructures: Fusion of Neutron and X-ray Tomography with Raman Analysis (in session "Session 4")

Machine Learning-driven Quantification of XRF Data: Integrating Sample Generation and Simulation for Enhanced Analysis (in session "Posters")

Machine-learning tools for efficient analysis of X-ray scattering data from wood (in session "Session 4")

Making photon and neutron open data machine-learning ready: a workshop and a roadmap (in session "Posters")

Mapping the ICSD (in session "Posters")

McStas Union simulations of a 15 T magnet and background prediction with Machine Learning (in session "Posters")

Metainference simulations to interpret small-angle scattering experiments of non-conventional surfactants (in session "Posters")

MLExchange: A Machine Learning Platform for On-the-fly Data Analysis at Scientific User Facilities (in session "Session 4")

Neural Network based reflectometry analysis of liquid-gas interfaces (in session "Posters")

Online Classification of Diverse Metal Materials Using PGNAA and Machine Learning (in session "Posters")

Operando GIWAXS Observation of the Stabled degradation process of Green-solvent Based PBDB-TF-T1: BTP-4F-12 Organic Solar Cells with EH-P as Solid Additive (in session "Posters")

Operando study on structure-activity relationship between electrolyte components and electrochemical performance for all-solid-state lithium-ion batteries (in session "Posters")

Optimizing Beamline Performance: The Bayesian Approach (in session "Session 5")

Optimizing Neutron Diffraction Experiments at the Spallation Neutron Source with Temporal Fusion Transformers: A Frontier for AI-Driven Real-Time Decision Making (in session "Session 6")

Phase behavior of thermo- and photoresponsive diblock copolymers for non-invasive schizophrenic switching (in session "Posters")

Phase retrieval by a conditional Wavelet Flow: applications to near-field X-ray holography (in session "Posters")

Physics Informed Neural Networks for Neutron Transport in Large Sample Prompt-Gamma Activation Analysis (in session "Posters")

Providing datasets to characterize process- or deformation-induced structure formation of polymer materials via in situ synchrotron X-ray experiments (in session "Posters")

Revealing the effect of solvent additive selectivity on the formation kinetics in printed active layers for organic solar cells (in session "Posters")

ROADMAP: Reflectometry-driven Optimization And Discovery of Membrane Active Peptides (in session "Posters")

Semi-supervised approaches to determining space groups and Bravais Lattices (in session "Session 2")

Signal denoising and active learning for multiplexing spectrometer (in session "Session 3")

Solving atomic structures by combining analysis of PDF pattern with DFT calculations in machine learning enhanced global optimization (in session "Session 3")

spear_tools: Deep learning allrounder for free-electron-laser pulse characterization (in session "Workshop 4")

Strategy to Simulate and Fit 2D GISAXS Patterns of Nanostructured Thin Films (in session "Posters")

Supervised Machine Learning Approach for Phase Identification in Neutron and X-ray Powder Diffraction Experiments (in session "Posters")

Tackling Laue pattern solving using neural networks (in session "Posters")

The effect of a sputter-deposited TiOx interface modification layer on perovskite solar cells (in session "Posters")

The NIST Autonomous Formulation Laboratory: Solving Industrial Problems with Multifacility X-Ray and Neutron Scattering and AI (in session "Session 7")

The small angle neutron scattering instrument KWS1 (in session "Posters")

The use of artificial neural networks for the unfolding procedures in neutron activation measurements (in session "Posters")

Towards Closing the Autonomous Loop at Multiple Facilities: Developing Web-based User Interfaces and Data Infrastructure for Autonomous Experiments and Machine Learning Workflows (in session "Session 6")

Tracking morphological changes during sputter deposition using GISAXS and machine learning (in session "Session 1")

Tuning the bandgap of double perovskite by anion exchange (in session "Posters")

UNet-based Segmentation of 3D Volumetric microtomography geological samples (in session "Posters")

Using machine learning to optimize the crystal volume of protein crystals (in session "Posters")

Using PyDevice to connect Beamline simulations to a controls framework (Bluesky/EPICS) (in session "Posters")

Validating the use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields (in session "Posters")

Versatile Inverse Problem Framework (in session "Posters")

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data (in session "Session 4")

Machine Learning Conference for X-Ray and Neutron-Based Experiments, Munich 2024

Local Organizing Team

Material Package

Choose timezone

Machine Learning Conference for X-Ray and Neutron-Based Experiments, Munich 2024

Local Organizing Team