Enregistré dans:
| Auteurs principaux: | Saddiq, Issa, Fan, Yuxin, Palgrave, Robert G., Isaacs, Mark A., Morgan, David, Butler, Keith T. |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2603.05350 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
XPS Insight Note: Coster – Kronig Broadening
par: Mark A. Isaacs, et autres
Publié: (2025)
par: Mark A. Isaacs, et autres
Publié: (2025)
Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties
par: Allotey, Johannes, et autres
Publié: (2021)
par: Allotey, Johannes, et autres
Publié: (2021)
XPS analysis of molecular contamination and sp2 amorphous carbon on oxidized (100) diamond
par: Vidrio, Ricardo, et autres
Publié: (2023)
par: Vidrio, Ricardo, et autres
Publié: (2023)
The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?
par: Walker, Matthew, et autres
Publié: (2025)
par: Walker, Matthew, et autres
Publié: (2025)
Learning disentangled latent representations facilitates discovery and design of functional materials
par: Cha, Jaehoon, et autres
Publié: (2025)
par: Cha, Jaehoon, et autres
Publié: (2025)
XPS Analysis of Surface Chemical Transformations in ZBLAN Glass under Thermal and Vibrational Stimuli
par: Subedi, Ayush, et autres
Publié: (2025)
par: Subedi, Ayush, et autres
Publié: (2025)
General Learning of the Electric Response of Inorganic Materials
par: Martin, Bradley A. A., et autres
Publié: (2025)
par: Martin, Bradley A. A., et autres
Publié: (2025)
Leveraging transfer learning for accurate estimation of ionic migration barriers in solids
par: Devi, Reshma, et autres
Publié: (2025)
par: Devi, Reshma, et autres
Publié: (2025)
Optimal pre-train/fine-tune strategies for accurate material property predictions
par: Devi, Reshma, et autres
Publié: (2024)
par: Devi, Reshma, et autres
Publié: (2024)
Tracking the Lithiation State of Li$_x$Si from Machine-Learned XPS Binding Energies
par: Bertran, Michael Alejandro Hernandez, et autres
Publié: (2026)
par: Bertran, Michael Alejandro Hernandez, et autres
Publié: (2026)
Crystal Structure Generation with Autoregressive Large Language Modeling
par: Antunes, Luis M., et autres
Publié: (2023)
par: Antunes, Luis M., et autres
Publié: (2023)
Operando XPS in Reactive Plasmas: The Importance of The Wall Reactions
par: Diulus, J. Trey, et autres
Publié: (2025)
par: Diulus, J. Trey, et autres
Publié: (2025)
Machine Learning Phonon Spectra for Fast and Accurate Optical Lineshapes of Defects
par: Turiansky, Mark E., et autres
Publié: (2025)
par: Turiansky, Mark E., et autres
Publié: (2025)
Delta Machine Learning for Predicting Dielectric Properties and Raman Spectra
par: Grumet, Manuel, et autres
Publié: (2023)
par: Grumet, Manuel, et autres
Publié: (2023)
A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials
par: Devi, Reshma, et autres
Publié: (2025)
par: Devi, Reshma, et autres
Publié: (2025)
Zinc blende ZnS (001) surface structure investigated by XPS,LEED and DFT
par: Oliveira, Pablo, et autres
Publié: (2023)
par: Oliveira, Pablo, et autres
Publié: (2023)
Effect of UV light irradiation on charge neutralization in XPS measurements
par: Zhu, Lei, et autres
Publié: (2024)
par: Zhu, Lei, et autres
Publié: (2024)
Two-Dimensional Graphene-like BeO Sheet: A Promising Deep-Ultraviolet Nonlinear Optical Materials System with Strong and Highly Tunable Second Harmonic Generation
par: Liu, Linlin, et autres
Publié: (2025)
par: Liu, Linlin, et autres
Publié: (2025)
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
par: Kharel, Shubha R., et autres
Publié: (2024)
par: Kharel, Shubha R., et autres
Publié: (2024)
XPS Insight Note—Strategies for Obtaining Peak Shapes and Inferring Chemistry
par: D. J. Morgan, et autres
Publié: (2025)
par: D. J. Morgan, et autres
Publié: (2025)
Conditional Generative Models Enable Targeted Exploration of MAX Phase Design Space
par: Swain, Jamie, et autres
Publié: (2026)
par: Swain, Jamie, et autres
Publié: (2026)
Self-Optimizing Machine Learning Potential Assisted Automated Workflow for Highly Efficient Complex Systems Material Design
par: Li, Jiaxiang, et autres
Publié: (2025)
par: Li, Jiaxiang, et autres
Publié: (2025)
Effects of Grain Boundaries and Surfaces on Electronic and Mechanical Properties of Solid Electrolytes
par: Xie, Weihang, et autres
Publié: (2023)
par: Xie, Weihang, et autres
Publié: (2023)
Atomic and electronic structure of poly-[Ni(Salen)]: combined study by XPS, UV PES, NEXAFS and DFT methods
par: Korusenko, Petr M., et autres
Publié: (2025)
par: Korusenko, Petr M., et autres
Publié: (2025)
Origin of zigzag antiferromagnetic orders in XPS3 (X= Fe, Ni) monolayers
par: Li, Ping, et autres
Publié: (2024)
par: Li, Ping, et autres
Publié: (2024)
Auger parameter analysis for TiN and AlN thin films via combined in-situ XPS and HAXPES
par: Pshyk, O. V., et autres
Publié: (2025)
par: Pshyk, O. V., et autres
Publié: (2025)
Operando Plasma-XPS for Process Monitoring: Hydrogenation of Copper Oxide Confined Under h-BN Case Study
par: Diulus, J. Trey, et autres
Publié: (2024)
par: Diulus, J. Trey, et autres
Publié: (2024)
Considerations on the XPS Analysis of 2H‐TaS 2 (0001)
par: Charalampos Drivas, et autres
Publié: (2025)
par: Charalampos Drivas, et autres
Publié: (2025)
Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors
par: Gu, Qiangqiang, et autres
Publié: (2025)
par: Gu, Qiangqiang, et autres
Publié: (2025)
Discovering new photovoltaics using optimal transport theory
par: Walker, Matthew A. H., et autres
Publié: (2026)
par: Walker, Matthew A. H., et autres
Publié: (2026)
Hierarchical Deep Research with Local-Web RAG: Toward Automated System-Level Materials Discovery
par: Ding, Rui, et autres
Publié: (2025)
par: Ding, Rui, et autres
Publié: (2025)
Electron Emission Yield Datasets Under Electron Impact From Surfaces Characterized In Situ by XPS or AES
par: Belhaj, M., et autres
Publié: (2025)
par: Belhaj, M., et autres
Publié: (2025)
How Can Machine Learning Accelerate CALPHAD Free Energy Modeling?
par: Shen, Chen, et autres
Publié: (2026)
par: Shen, Chen, et autres
Publié: (2026)
Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring
par: Lynch, Matthew J., et autres
Publié: (2024)
par: Lynch, Matthew J., et autres
Publié: (2024)
Learning Radical Excited States from Sparse Data
par: Shen, Jingkun, et autres
Publié: (2024)
par: Shen, Jingkun, et autres
Publié: (2024)
Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Dataset Generation for Training Machine-Learned Interatomic Potentials
par: Lahouari, Adam, et autres
Publié: (2025)
par: Lahouari, Adam, et autres
Publié: (2025)
Deep Learning-Based Extraction of Promising Material Groups and Common Features from High-Dimensional Data: A Case of Optical Spectra of Inorganic Crystals
par: Takahashi, Akira, et autres
Publié: (2025)
par: Takahashi, Akira, et autres
Publié: (2025)
Machine Learning Based Optical Thermometry Using Photoluminescence and Raman Spectra of Diamonds Containing SiV Centers
par: Hossain, Md Shakhawath, et autres
Publié: (2025)
par: Hossain, Md Shakhawath, et autres
Publié: (2025)
Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
par: Bennett, Robert K. A., et autres
Publié: (2025)
par: Bennett, Robert K. A., et autres
Publié: (2025)
Automated and Scalable SEM Image Analysis of Perovskite Solar Cell Materials via a Deep Segmentation Framework
par: Pan, Jian Guo, et autres
Publié: (2025)
par: Pan, Jian Guo, et autres
Publié: (2025)
Documents similaires
-
XPS Insight Note: Coster – Kronig Broadening
par: Mark A. Isaacs, et autres
Publié: (2025) -
Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties
par: Allotey, Johannes, et autres
Publié: (2021) -
XPS analysis of molecular contamination and sp2 amorphous carbon on oxidized (100) diamond
par: Vidrio, Ricardo, et autres
Publié: (2023) -
The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?
par: Walker, Matthew, et autres
Publié: (2025) -
Learning disentangled latent representations facilitates discovery and design of functional materials
par: Cha, Jaehoon, et autres
Publié: (2025)