AI and ML for spectroscopy and microscopy

Presentations

• Image reconstruction for a shift variant magnetic particle imaging system using deep learning

  ORAL

  March 8, 2024, 8:00 AM – March 8, 2024, 8:12 AM

  Presenters

  • Christopher P McDonough

    • Oakland University

  Authors

  • Christopher P McDonough

    • Oakland University

  • Christopher Bastajian

    • Oakland University

  • Alycen Wiacek

    • Oakland University

  • Alexey A Tonyushkin

    • Oakland University

  View abstract →

• Machine Learning Approaches to Analyzing Atomic Force Microscopy Images of Cross-Linked Polyethylene Pipes

  ORAL

  March 8, 2024, 8:12 AM – March 8, 2024, 8:24 AM

  Presenters

  • Benjamin Baylis

    • University of Guelph

  Authors

  • Benjamin Baylis

    • University of Guelph

  • Michael Grossutti

    • University of Guelph

  • John R Dutcher

    • University of Guelph

  View abstract →

• Harnessing Automation and Machine Learning in Scanning Probe Microscopy to Accelerate Physics Discovery

  ORAL

  March 8, 2024, 8:24 AM – March 8, 2024, 8:36 AM

  Presenters

  • Yongtao Liu

    • Oak Ridge National Laboratory

  Authors

  • Yongtao Liu

    • Oak Ridge National Laboratory

  • Rama K Vasudevan

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab

  • Maxim Ziatdinov

    • Oak Ridge National Lab

  • Sergei V Kalinin

    • University of Tennessee

  View abstract →

• XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy

  ORAL

  March 8, 2024, 8:36 AM – March 8, 2024, 8:48 AM

  Publication: https://doi.org/10.48550/arXiv.2310.08408

  Presenters

  • Carla Rodríguez

    • Max Planck Institute for the Science of Light

  Authors

  • Carla Rodríguez

    • Max Planck Institute for the Science of Light

  • Sören Arlt

    • Max Planck Inst for Sci Light

  • Leonhard Möckl

    • Max Planck Institute for the Science of Light

  • Mario Krenn

    • Max Planck Institute for the Science of Light

  View abstract →

• Broading the Partisipation of ImageAI Scientists in Cryo-ET Analysis

  ORAL

  March 8, 2024, 8:48 AM – March 8, 2024, 9:00 AM

  Presenters

  • Braxton B Owens

    • Brigham Young University

  Authors

  • Braxton B Owens

    • Brigham Young University

  View abstract →

• Disentangle Structure-Spectrum Relationship with Physics-Informed Generative AI

  ORAL

  March 8, 2024, 9:00 AM – March 8, 2024, 9:12 AM

  Publication: A paper from work has been published. Another paper for label-free transfer learning leveraging on this work is currently in development.

  Presenters

  • Xiaohui Qu

    • Brookhaven National Laboratory
    • Brookhaven National Lab

  Authors

  • Xiaohui Qu

    • Brookhaven National Laboratory
    • Brookhaven National Lab

  • Zhu Liang

    • Brookhaven National Lab

  • Matthew R Carbone

    • Brookhaven National Lab
    • Brookhaven National Laboratory

  • Wei Chen

    • Harvard University

  • Fanchen Meng

    • Brookhaven National Laboratory

  • Eli Stavitiski

    • Brookhaven National Lab

  • Deyu Lu

    • Brookhaven National Laboratory

  • Mark S Hybertsen

    • Brookhaven National Laboratory

  View abstract →

• Autonomous Classification of Scanning Tunneling Spectroscopy via Deep Learning with Variational Autoencoders

  ORAL

  March 8, 2024, 9:12 AM – March 8, 2024, 9:24 AM

  Presenters

  • Darian Smalley

    • University of Central Florida
    • University of Central Florida, Nanoscience Technology Center

  Authors

  • Darian Smalley

    • University of Central Florida
    • University of Central Florida, Nanoscience Technology Center

  • Stephanie D Lough

    • University of Central Florida
    • University of Central Florida, Nanoscience Technology Center

  • John C Thomas

    • Molecular Foundry, Lawrence Berkeley National Laboratory

  • Masahiro Ishigami

    • University of Central Florida
    • University of Central Florida, Nanoscience Technology Center

  View abstract →

• AARDVARK: Adaptive Automation and Real-time Data Visualization for ARPES Research Kit

  ORAL

  March 8, 2024, 9:24 AM – March 8, 2024, 9:36 AM

  Presenters

  • Matthew C Staab

    • University of California, Davis

  Authors

  • Matthew C Staab

    • University of California, Davis

  • Eli Rotenberg

    • Lawrence Berkeley National Laboratory

  • Inna M Vishik

    • University of California, Davis

  View abstract →

• Supervised learning study of Raman spectroscopy features characteristic of MOCVD–grown transition metal dichalcogenides

  ORAL

  March 8, 2024, 9:36 AM – March 8, 2024, 9:48 AM

  Presenters

  • Andrew S Messecar

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008

  Authors

  • Andrew S Messecar

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008

  • Chen Chen

    • 2D Crystal Consortium Materials Innovation Platform, The Pennsylvania State University, University Park, PA 16802

  • Isaiah Moses

    • 2D Crystal Consortium Materials Innovation Platform, The Pennsylvania State University, University Park, PA 16802

  • Wesley F Reinhart

    • Pennsylvania State University
    • Penn State

  • Joan M Redwing

    • Pennsylvania State University

  • Steven M Durbin

    • College of Engineering, University of Hawaiʻi at Mānoa, Honolulu, HI 96822

  • Robert A Makin

    • College of Engineering and Applied Sciences, Western Michigan University, Kalamazoo, MI 49008

  View abstract →

• Deep Generative Modeling of Infrared Images Provides Signature of Cracking in Cross-Linked Polyethylene Pipe

  ORAL

  March 8, 2024, 9:48 AM – March 8, 2024, 10:00 AM

  Publication: ACS Appl. Mater. Interfaces 2023, 15, 22532−22542

  Presenters

  • Michael Grossutti

    • University of Guelph

  Authors

  • Michael Grossutti

    • University of Guelph

  • Benjamin Baylis

    • University of Guelph

  • John R Dutcher

    • University of Guelph

  View abstract →

• Accurate, uncertainty-aware classification of molecular chemical motifs from multi-modal X-ray absorption spectroscopy

  ORAL

  March 8, 2024, 10:00 AM – March 8, 2024, 10:12 AM

  Presenters

  • Deyu Lu

    • Brookhaven National Laboratory

  Authors

  • Deyu Lu

    • Brookhaven National Laboratory

  • Matthew R Carbone

    • Brookhaven National Lab
    • Brookhaven National Laboratory

  • Phillip M Maffettone

    • Brookhaven National Laboratory

  • Xiaohui Qu

    • Brookhaven National Laboratory
    • Brookhaven National Lab

  • Shinjae Yoo

    • Brookhaven National Laboratory

  View abstract →

• Large-Scale Raman Spectrum Calculations in Graphene using Deep Learning

  ORAL

  March 8, 2024, 10:12 AM – March 8, 2024, 10:24 AM

  Presenters

  • Olivier Malenfant-Thuot

    • Universite de Montreal

  Authors

  • Olivier Malenfant-Thuot

    • Universite de Montreal

  • Dounia Shaaban Kabakibo

    • Université de Montréal

  • Simon Blackburn

    • Mila - Québec Artificial Intelligence Institute

  • Bruno Rousseau

    • Mila - Québec Artificial Intelligence Institute

  • Michel Côté

    • Universite de Montreal
    • Université de Montréal

  View abstract →

• Autonomous synthesis of thin films with pulsed laser deposition using in situ Raman and reflectance spectroscopy

  ORAL

  March 8, 2024, 10:24 AM – March 8, 2024, 10:36 AM

  Presenters

  • Sumner B Harris

    • Oak Ridge National Laboratory

  Authors

  • Sumner B Harris

    • Oak Ridge National Laboratory

  • Arpan Biswas

    • Oak Ridge National Laboratory

  • Seok Joon Yun

    • Oak Ridge National Laboratory

  • Christopher M Rouleau

    • Oak Ridge National Laboratory

  • Alexander A. Puretzky

    • Oak Ridge National Laboratory

  • Rama K Vasudevan

    • Oak Ridge National Laboratory
    • Oak Ridge National Lab

  • David B Geohegan

    • Oak Ridge National Laboratory

  • Kai Xiao

    • Oak Ridge National Laboratory

  View abstract →

• Vision Transformers for X-Ray Spectroscopy and Fluctuation Analysis

  ORAL

  March 8, 2024, 10:36 AM – March 8, 2024, 10:48 AM

  Publication: M. Jimenez, Z. Chen, C. Wang, J. Turner, Vision Transformers for X-Ray Spectroscopy and Fluctuation Analysis (Working Paper)

  Presenters

  • Mark Jimenez

    • SLAC National Accelerator Laboratory

  Authors

  • Mark Jimenez

    • SLAC National Accelerator Laboratory

  View abstract →