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Bibliographic Details
Main Authors:	Gleason, Samuel P., Lu, Deyu, Ciston, Jim
Format:	Preprint
Published:	2023
Subjects:	Materials Science
Online Access:	https://arxiv.org/abs/2309.04067
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CuXASNet: Rapid and Accurate Prediction of Copper L-edge X-Ray Absorption Spectra Using Machine Learning
by: Gleason, Samuel P., et al.
Published: (2024)

OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
by: Kharel, Shubha R., et al.
Published: (2024)

Random Forest Prediction of Crystal Structure from Electron Diffraction Patterns Incorporating Multiple Scattering
by: Gleason, Samuel P., et al.
Published: (2024)

Delta Machine Learning for Predicting Dielectric Properties and Raman Spectra
by: Grumet, Manuel, et al.
Published: (2023)

Hydroxylated MgO (111) reconstructions: why the case for clean surfaces does not hold water
by: Ciston, J., et al.
Published: (2008)

Temperature-dependent vibrational EELS simulations with nuclear quantum effects
by: He, Zuxian, et al.
Published: (2026)

Physics-Constrained Learning of Dose-Dependent Spectral Degradation in Metal--Organic Frameworks from In Situ Low-Loss EELS
by: Santos, Gabriel T. dos, et al.
Published: (2026)

Cathodoluminescence, light injection and EELS in STEM: From comparative to coincidence experiments
by: Tizei, Luiz H. G., et al.
Published: (2025)

Many-body and QED effects in electron-atom inelastic scattering in EELS
by: Iatrakis, Ioannis, et al.
Published: (2025)

Probing Plasmonic Oscillations in 2D Moiré Nanocrystal Superlattices by Low-Loss EELS
by: Das, Swarnendu, et al.
Published: (2026)

Substrate matters: Coupled phonon modes of a spherical particle on a substrate probed with EELS
by: Lee, Ka Yin, et al.
Published: (2025)

Excitons in epitaxially grown WS2 on Graphene: a nanometer-resolved EELS and DFT study
by: Bergmann, Max, et al.
Published: (2024)

Multi-code Benchmark on Simulated Ti K-edge X-ray Absorption Spectra of Ti-O Compounds
by: Meng, Fanchen, et al.
Published: (2023)

Advanced Spectroscopic Analyses on a:C-H Materials: Revisiting the EELS Characterization and its Coupling with multi-wavelength Raman Spectroscopy
by: Lajaunie, L., et al.
Published: (2025)

Fabrication and characterization of boron-terminated tetravacancies in monolayer hBN using STEM, EELS and electron ptychography
by: Byrne, Dana O., et al.
Published: (2025)

Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects
by: Turiansky, Mark E., et al.
Published: (2025)

Table-top soft x-ray source for XAS experiments with photon energies up to 350 eV
by: Naranjo-Montoya, O. A., et al.
Published: (2024)

Accurate Prediction of Tensorial Spectra Using Equivariant Graph Neural Network
by: Hsu, Ting-Wei, et al.
Published: (2025)

Machine Learning Based Optical Thermometry Using Photoluminescence and Raman Spectra of Diamonds Containing SiV Centers
by: Hossain, Md Shakhawath, et al.
Published: (2025)

Advances in momentum-resolved EELS of phonons, excitons and plasmons in 2D materials and their heterostructures
by: Elgvin, Cana, et al.
Published: (2025)

Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
by: Pratiush, Utkarsh, et al.
Published: (2024)

Relativistic EELS scattering cross-sections for microanalysis based on Dirac solutions
by: Zhang, Zezhong, et al.
Published: (2024)

Machine Learning Force Field for Thermal Oxidation of Silicon
by: Cvitkovich, Lukas, et al.
Published: (2024)

Decoupling Composition and Band Gap in $κ$-Ga$_2$O$_3$ Heterostructures via STEM-EELS
by: Thøgersen, Annett, et al.
Published: (2025)

Correlative 3D Mapping of Structure, Composition, and Valence State Dynamics in Battery Cathodes via Simultaneous ADF-EDS-EELS Tomography
by: Oh, Jaewhan, et al.
Published: (2025)

Robust Spectral Anomaly Detection in EELS Spectral Images via Three Dimensional Convolutional Variational Autoencoders
by: Sultanov, Seyfal, et al.
Published: (2024)

Three-dimensional imaging of buried heterointerfaces
by: O'Leary, Colum M., et al.
Published: (2023)

Investigating Anharmonicities in Polarization-Orientation Raman Spectra of Acene Crystals with Machine Learning
by: Lazzaroni, Paolo, et al.
Published: (2025)

Grain Boundary Segregation Spectra from a Generalized Machine-learning Potential
by: Tuchinda, Nutth, et al.
Published: (2025)

Evaluating the local bandgap across InxGa1-xAs multiple quantum wells in a metamorphic laser via low-loss EELS
by: Stephen, Nicholas, et al.
Published: (2024)

TCSP 2.0: Template Based Crystal Structure Prediction with Improved Oxidation State Prediction and Chemistry Heuristics
by: Wei, Lai, et al.
Published: (2025)

Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
by: Price, Christopher C., et al.
Published: (2024)

Descriptor and Graph-based Molecular Representations in Prediction of Copolymer Properties Using Machine Learning
by: Kazemi-Khasragh, Elaheh, et al.
Published: (2025)

A Bond-Based Machine Learning Model for Molecular Polarizabilities and A Priori Raman Spectra
by: Sowa, Jakub K., et al.
Published: (2024)

Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of size-controlled Cu Nanoparticles
by: Motmans, Brent, et al.
Published: (2025)

Machine Learning Study of Surface Reconstructions of the Cu$_{2}$O(111) Surface
by: Wadhwa, Payal, et al.
Published: (2025)

Data-driven Prediction of Ionic Conductivity in Solid-State Electrolytes with Machine Learning and Large Language Models
by: Kim, Haewon, et al.
Published: (2026)

Using Topology to Predict Electrides in the Solid State
by: Racioppi, Stefano, et al.
Published: (2025)

Grain Boundary Segregation Predicted by Quantum-Accurate Segregation Spectra but not by Classical Models
by: Wagih, Malik, et al.
Published: (2023)

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