-
16:50
UNet-based Segmentation of 3D Volumetric microtomography geological samples
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Diego bladimir Haro fernandez
(unical)
-
17:10
Investigating gold deposition of HiPIMS and dcMS on Polystyrene, Poly-4-vinylpyridine and Polystyrenesulfonicacid
-
Yusuf Bulut
-
17:30
CrysFieldExplorer: Rapid Optimization of the Crystal Field Hamiltonian
-
Qianli Ma
(Oak Ridge National Laboratory)
-
17:50
Analysis and Segmentation of Nucleus with U-Net
-
Ayse Erozan
-
18:10
A Study on Minimizing Measurement Time Based on Active Experimentation for Energydispersive X-Ray Diffraction
-
Alexander Liehr
(Institute of Materials Engineering (University of Kassel))
-
18:30
Exploring the limits of the random forest algorithm for the classification of X-ray absorption spectra
-
Marius Retegan
(ESRF)
-
18:30
Machine Learning Approaches on X-ray Scattering Beamline: First results and perspectives
-
Jean-Sébastien MICHA
(Univ. Grenoble Alpes, UMR SyMMES CNRS CEA/IRIG and CRG IF BM32 beamline at ESRF)
-
18:30
KI4D4E: Machine Learning Approach for Digital Volume Correlation in 4D Computed Tomography Data at Synchrotron Radiation Beamlines
-
Tak Ming Wong
(Helmholtz-Zentrum Hereon)
-
18:30
Analyzing collective excitations using implicit neural representations
-
Sathya Chitturi
(SLAC National Accelerator Laboratory)
-
18:30
A method to correct angular distortions in Bragg Coherent X-ray Diffraction Imaging
-
Huaiyu Chen
(Lund University)
-
18:30
In Situ GIWAXS of Slot-Die Coated Perovskite Quantum Dot Thin-Films
-
Thomas Baier
-
18:30
Supervised Machine Learning Approach for Phase Identification in Neutron and X-ray Powder Diffraction Experiments
-
Loubna Kadri
-
18:30
Phase behavior of thermo- and photoresponsive diblock copolymers for non-invasive schizophrenic switching
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Peiran Zhang
(Technical University of Munich, Department of Physics, Garching, Germany)
-
18:30
Energy-Dispersive Detection of X-rays with CMOS Cameras: A Machine Learning Approach
-
Jonas Baumann
(Technical University of Berlin, Institute of Optics and Atomic Physics)
-
18:30
The use of artificial neural networks for the unfolding procedures in neutron activation measurements
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Nikola Jovancevic
(University of Novi Sad)
-
18:30
Providing datasets to characterize process- or deformation-induced structure formation of polymer materials via in situ synchrotron X-ray experiments
-
Anna Katharina Sambale
(Leibniz-Institut für Polymerforschung Dresden e.V.)
-
18:30
Using machine learning to optimize the crystal volume of protein crystals
-
Tobias Schrader
-
18:30
Neural Network based reflectometry analysis of liquid-gas interfaces
-
Svenja Hövelmann
-
18:30
Automatized data analysis for surface XRD
-
Radik Batraev
(Nanolab (Photon Science, DESY))
-
18:30
A Deep Learning approach for Gamma spot removal in CCD-based neutron imaging
-
Michael Schulz
-
18:30
The small angle neutron scattering instrument KWS1
-
Henrich Frielinghaus
(JCNS)
-
18:30
Gaussian processes regression for preliminary data evaluation at DNS
-
Oleksandr Koshchii
(JCNS at MLZ, Forschungszentrum Jülich GmbH)
-
18:30
Biopolymer-Templated Deposition of Hierarchical 3D-Structured Graphene Oxide/Gold Nanoparticle Hybrids for Surface-Enhanced Raman Scattering
-
Yingjian Guo
(Deutsches Elektronen-Synchrotron DESY)
-
18:30
Deciphering SASE X-ray Pulse Characteristics with β-Variational Autoencoder Networks
-
Gesa Goetzke
(Gesa)
-
18:30
Hierarchical Bayesian approach for adaptive integration of Bragg peaks in time-of-flight neutron scattering data
-
Guannan Zhang
(Oak Ridge National Laboratory)
Viktor Reshniak
(Oak Ridge National Laboratory)
Xiaoping Wang
(Oak Ridge National Laboratory)
-
18:30
In situ GISAXS investigation of sputtering IZO thin film for optoelectronic applications
-
Huaying Zhong
-
18:30
Tackling Laue pattern solving using neural networks
-
Tomáš Červeň
(Charles University)
-
18:30
EFFECT OF PEROVSKITE NANOCRYSTAL NUCLEATION SEEDS ON MICROSTRUCTURE AND CRYSTALLIZATION PATHWAYS IN ORGANIC-INORGANIC HALIDE PEROVSKITE THIN FILMS
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Altantulga Buyan-Arivjikh
(Technical University of Munich, TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials)
-
18:30
Machine learning short-range spin correlations in pyrochlore antiferromagnet Gd2Hf2O7
-
Jianhui Xu
(RWTH Aachen Uni., JCNS)
-
18:30
Machine learning for the generation of virtual histology images from X-ray phase contrast tomography of biodegradable metal bone implants
-
Sarah Irvine
(Helmholtz-Zentrum hereon)
-
18:30
Information theory elements for data analysis
-
Luis Carlos Pardo Soto
(Universitat Politècnica de Catalunya)
-
18:30
A solid-state electrolyte interface layer-amphiphilic polymer/metal composite nanoarray for lithium metal battery
-
Zhuijun Xu
(Technische Universität München)
-
18:30
Deep Live Phase Retrieval for Ptychography
-
Simon Welker
(Universität Hamburg (Signal Processing) / Center for Free-Electron Laser Science (Coherent Imaging Division))
-
18:30
Tuning the bandgap of double perovskite by anion exchange
-
Zhaonan Jin
-
18:30
Machine Learning-Based Crystal Structure Direct Prediction from Neutron Powder Diffraction
-
Hao Wang
(China Spallation Neutron Source)
-
18:30
Establishing Multi-resolution, Multi-modal Data Fusion of Synchrotron Imaging Modalities at Diamond Light Source
-
Calum Green
(Imperial College London)
-
18:30
Revealing the effect of solvent additive selectivity on the formation kinetics in printed active layers for organic solar cells
-
Jinsheng Zhang
(TUM)
-
18:30
In situ study of morphology evolution of block copolymer templated metal oxide films
-
Guangjiu Pan
(Technical University of Munich, TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials)
-
18:30
Assisting users on model selection in small angle neutron scattering experiments
-
Jose Robledo
(JCNS-2 Forschungszentrum Jülich)
-
18:30
Operando study on structure-activity relationship between electrolyte components and electrochemical performance for all-solid-state lithium-ion batteries
-
Yingying Yan
(Lehrstuhl für Funktionelle Materialien, Physik-Department, TU München)
-
18:30
Using PyDevice to connect Beamline simulations to a controls framework (Bluesky/EPICS)
-
Max Wyman
(Argonne National Laboratory)
-
18:30
Phase retrieval by a conditional Wavelet Flow: applications to near-field X-ray holography
-
Ritz Aguilar
(Helmholtz-Zentrum Dresden-Rossendorf (HZDR))
-
18:30
In situ GISAXS investigation of ternary hybrid diblock copolymer thin films containing two types of magnetic nanoparticles
-
Christopher Everettt
-
18:30
Machine Learning-based Auto-indexing of Neutron Diffraction Pattern from China Spallation Neutron Source
-
Rong Du
(institute of high energy physics)
-
18:30
Leveraging Automatic Differentiation in Complex Model Fitting
-
Erik Thiessenhusen
(HZDR)
-
18:30
KDSource, an Open-Source Code for the generation of Monte Carlo particle sources using Kernel Density Estimation
-
Norberto Schmidt
(Forschungszentrum Jülich)
-
18:30
AI/ML-supported evaluation of PGAA data
-
Christian Stieghorst
(TUM / FRM II)
-
18:30
Integrating Machine Learning into X-ray Data Analysis: Insights from GRADES at SOLEIL
-
Emmanuel FARHI
(Synchrotron SOLEIL)
Anass Bellachehab
(Synchrotron SOLEIL)
-
18:30
Exploring the Efficacy of Machine Learning in Interatomic Potentials and Neutron Scattering Spectra Predictions
-
Taner YILDIRIM
(NIST Center for Neutron Research, National Institute of Standards and Technology (NIST))
-
18:30
Mapping the ICSD
-
William Ratcliff
(National Institute of Standards and Technology)
-
18:30
McStas Union simulations of a 15 T magnet and background prediction with Machine Learning
-
Petroula Karakosta
(University of Copenhagen)
-
18:30
Hamiltonian-driven modeling using image-recognition-based neural networks in rare-earth spin systems
-
Huibo Cao
(Oak Ridge National Laboratory)
-
18:30
Online Classification of Diverse Metal Materials Using PGNAA and Machine Learning
-
Helmand Shayan
(Deutsch)
-
18:30
Developments in Event Mode Data Analysis
-
Phillip Bentley
(European Spallation Source ESS)
-
18:30
Metainference simulations to interpret small-angle scattering experiments of non-conventional surfactants
-
Henrique Musseli Cezar
(University of Oslo)
-
18:30
Grazing-Incidence X-ray Scattering Data for Machine Learning of Neural Networks
-
Julian Heger
(Technical University of Munich, TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials)
-
18:30
Providing datasets to characterize process- or deformation-induced structure formation of polymer materials via in situ synchrotron X-ray experiments
-
Eric Euchler
(Leibniz-Institut für Polymerforschung (IPF), Dresden, Germany)
-
18:30
Making photon and neutron open data machine-learning ready: a workshop and a roadmap
-
Peter Steinbach
(Helmholtz-Zentrum Dresden-Rossendorf)
-
18:30
Artificial intelligence methods for synchrotron radiation image and diffraction data analysis
-
丽娜 赵
(中国科学院高能物理研究所)
-
18:30
ROADMAP: Reflectometry-driven Optimization And Discovery of Membrane Active Peptides
-
Frank Heinrich
(Carnegie Mellon University and NIST Center for Neutron Research)
-
18:30
AI-supported preclassification of GISAXS images: mathematical identity detection by autoencoders
-
Eric Schaefer
(HAW)
Volker Skwarek
(HAW)
-
18:30
Artificial neural networks, operando X-ray powder diffraction CT and functional devices
-
Antonis Vamvakeros
(Imperial College London / Finden ltd)
-
18:30
Machine learning methods research on predicting protein profile parameters by synchrotron radiation small-angle X-ray scattering
-
Qingmeng LI
-
18:30
Deep learning based approach for speeding up the extraction of morphological parameters in GISAXS data
-
Shachar Dan
(DESY)
-
18:30
The effect of a sputter-deposited TiOx interface modification layer on perovskite solar cells
-
Xiongzhuo Jiang
(Technical University of Munich, TUM School of Natural Sciences, Department of Physics)
-
18:30
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
-
ZERUI LI
(TUM)
-
18:30
Machine Learning-Based Analysis of X-ray Scattering for Characterizing Guadua Bamboo
-
Enriqueta Noriega Benitez
(Aalto University)
-
18:30
Validating the use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields
-
Chris Fancher
(Oak Ridge National Laboratory)
-
18:30
Machine Learning-driven Quantification of XRF Data: Integrating Sample Generation and Simulation for Enhanced Analysis
-
Frank Förste
(TU Berlin)
-
18:30
Injectable hydrogels from thermoresponsive tri- and tetrablock terpolymers investigated using scattering methods
-
Feifei Zheng
(Technische Universtität München)
-
18:30
Versatile Inverse Problem Framework
-
Stefan Häusler
(Forschungszentrum Jülich GmbH, JCNS)
Egor Vezhlev
(Forschungszentrum Jülich GmbH, JCNS)
Marina Ganeva
(Forschungszentrum Jülich GmbH, JCNS)
-
18:30
Characterization of Mesoporous Zinc Titanate Hybrid Films Using Grazing Incidence Small-angle X-ray Scattering
-
Yanan Li
-
18:30
Machine Learning (ML)-Assisted Fabrication and Scattering data for Solar Cells
-
Shuxian Xiong
(DESY & TUM)
-
18:30
Enhanced air stability of Tin‑Based Perovskite Solar Cells with Quercetin
-
Xiaojing Ci
(Technische Universität München)
-
18:30
Investigation of detector backlighting and other effects in neutron darkfield images
-
Ala'a Al-Falahat
(Department of Mechanical Engineering, Faculty of Engineering, Mutah University, Al-Karak, Jordan)
-
18:30
Generative models for Inverse Problems: The phase retrieval problem from a single distance intensity measurement
-
Dawit Hailu
(Helmholtz-Zentrum hereon)
-
18:30
Physics Informed Neural Networks for Neutron Transport in Large Sample Prompt-Gamma Activation Analysis
-
Alexander Jesser
(Karlsruher Institut für Technologie)
-
18:30
ALSA: Automatic Laue Sample Aligner
-
Štěpán Venclík
(Charles University)
-
18:30
Strategy to Simulate and Fit 2D GISAXS Patterns of Nanostructured Thin Films
-
Christine M. Papadakis
(Technical University of Munich, TUM School of Natural Sciences)
-
18:30
Conformation of star-like molecular brushes with amphiphilic diblock copolymer side arms
-
Wenqi Xu
(Technical University of Munich, TUM School of Natural Sciences, Soft Matter Physics Group)
