Materials Science and Spectroscopy Using Deep Learning
FOCUS · MAR-G37 · ID: 3091570
Presentations
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Physics-Guided Machine Learning Framework for Real-Time Multi-Scale Materials Characterization at Light Sources
ORAL · Invited
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Publication: https://doi.org/10.1063/5.0132433
https://link.springer.com/article/10.1007/s11837-021-04889-3
https://doi.org/10.1016/j.scriptamat.2020.10.028
https://doi.org/10.1063/5.0014725
https://doi.org/10.1016/j.actamat.2019.03.026
https://doi.org/10.21203/rs.3.rs-4555290/v1Presenters
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Reeju Pokharel
- Los Alamos National Laboratory
Authors
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Alexander Scheinker
- Los Alamos National Laboratory (LANL)
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Reeju Pokharel
- Los Alamos National Laboratory
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Novel approaches to studying frustrated charge interactions in strongly correlated materials
ORAL · Invited
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Publication: S. J. Gomez Alvarado, G. Pokharel, B. R. Ortiz, J. A. M. Paddison, S. Sarker, J. P. C. Ruff, and S. D. Wilson, Frustrated Ising charge correlations in the kagome metal ScV6Sn6. Phys. Rev. B 110 (2024) L140304. [DOI: 10.1103/PhysRevB.110.L140304] [arXiv: 2407.12099]
S. J. Gomez Alvarado, J. R. Chamorro, A. R. Jackson, G. Pokharel, R. Gomez, B. R. Ortiz, S. Sarker, L. Kautzsch, L. Gallington, R. Seshadri, and S. D. Wilson, Interleaved lattice and magnetic frustration in LnCd3P3 (Ln = La, Ce, Pr, Nd). (In preparation)Presenters
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Steven J Gomez Alvarado
- University of California, Santa Barbara
- Materials Department, University of California, Santa Barbara, CA 93106-5050, U.S.A.
Authors
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Steven J Gomez Alvarado
- University of California, Santa Barbara
- Materials Department, University of California, Santa Barbara, CA 93106-5050, U.S.A.
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Graph and Generative Large Language Models for Data-Driven Materials Discovery
ORAL
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Presenters
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Yong Wei
- University of North Georgia
Authors
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Yong Wei
- University of North Georgia
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Mingyuan Yan
- University of North Georgia
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Yuewei Lin
- Brookhaven National Laboratory
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Hanning Chen
- University of Texas at Austin
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Abstract Withdrawn
ORAL · Withdrawn
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Leveraging Generative AI for Stress Prediction and Design of Architected Graphene Structures
ORAL
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Publication: Masrouri, Milad, Kamalendu Paul, and Zhao Qin. "Generative AI model trained by molecular dynamics for rapid mechanical design of architected graphene." Extreme Mechanics Letters 72 (2024): 102230.
Presenters
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Kamalendu Paul
- Syracuse University
Authors
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Kamalendu Paul
- Syracuse University
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Milad Masrouri
- Syracuse University
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Zhao Qin
- Syracuse University
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Prediction of Frictional Contact Networks Using Deep Graph Convolutional Neural Network in Dense Suspensions. Part 1: Methods and Scalability
ORAL
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Publication: 1- A. Aminimajd, J. Maia, A. Singh, "Scalability of Graph Neural Network in Accurate Prediction of Force Chain Network in Suspensions.", Physical Review Letter (Under Review)
2- https://arxiv.org/abs/2409.13160Presenters
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Armin Aminimajd
- Case Western Reserve University
Authors
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Armin Aminimajd
- Case Western Reserve University
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Joao M Maia
- Case Western Reserve University
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Abhinendra Singh
- Case Western Reserve University
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Abstract Withdrawn
ORAL · Withdrawn
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Deep Learning Approach to Identifying New Infrared Spectroscopic Features Produced by Accelerated Aging of Cross-linked Polyethylene Pipe
ORAL
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Publication: [1] M. Grossutti et al., ACS Appl. Mater. Interfaces 15, 22532 (2023).
Presenters
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Zachery Evans
- University of Guelph
Authors
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Zachery Evans
- University of Guelph
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Isaac Mercier
- University of Guelph
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Lauren Kauth
- University of Waterloo
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Michael Grossutti
- University of Guelph
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John R Dutcher
- University of Guelph
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Abstract Withdrawn
ORAL · Withdrawn
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