Recent Science Breakthroughs at National Scientific User Facilities
FOCUS · MAR-X63 · ID: 3095894
Presentations
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Abstract Withdrawn
ORAL · Invited · Withdrawn
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Investigating Biology in the Poisson Limit at the Nanoscale
ORAL
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Presenters
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Aeron T Tynes Hammack
Lawrence Berkeley National Labs
Authors
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Aeron T Tynes Hammack
Lawrence Berkeley National Labs
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Harika Dechiraju
Lawrence Berkeley National Labs
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Shaul Aloni
Lawrence Berkeley National Labs, Lawrence Berkeley National Laboratory, Molecular Foundry, Lawrence Berkeley National Laboratory
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Michael Connolly
Lawrence Berkeley National Labs
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Katherine Sytwu
Lawrence Berkeley National Labs
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Scott Dhuey
Lawrence Berkeley National Labs, Lawrence Berkeley National Laboratory, The Molecular Foundry, Lawrence Berkeley National Laboratory
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Engineering reversibility of liquid-liquid phase separation in artificial proteins
ORAL
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Publication: "Engineered reversibility of liquid-liquid phase separation in recombinant polypeptides", under review at Advanced Materials
Presenters
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Qingteng Zhang
Argonne National Laboratory
Authors
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Qingteng Zhang
Argonne National Laboratory
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Miaoqi Chu
Argonne National Laboratory
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Doga Ozgulbas
Argonne National Laboratory
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Alex Lavens
Argonne National Laboratory
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Nicholas Marks
Argonne National Laboratory
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Ming Du
Argonne National Laboratory
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Unraveling Transient Behaviors in Soft Matters from Dynamics in Non-Equilibrium
ORAL
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Publication: He, HongRui, et al. "Transport coefficient approach for characterizing nonequilibrium dynamics in soft matter." Proceedings of the National Academy of Sciences 121.31 (2024): e2401162121.
Presenters
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HongRui He
University of Chicago
Authors
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HongRui He
University of Chicago
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Heyi Liang
University of Chicago
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Miaoqi Chu
Argonne National Laboratory
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Zhang Jiang
Argonne National Laboratory
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Suresh Narayanan
Argonne National laboratory
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Juan J De Pablo
University of Chicago
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Matthew V Tirrell
University of Chicago
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Wei Chen
Argonne National Laboratory
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Accelerated Mapping of Polymer Self-Assembly with SAXS/SANS and the NIST Autonomous Formulation Laboratory
ORAL
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Presenters
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Peter Beaucage
National Institute of Standards and Technology (NIST)
Authors
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Peter Beaucage
National Institute of Standards and Technology (NIST)
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Tyler B Martin
National Institute of Standards and Technology (NIST)
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Duncan Sutherland
University of Colorado at Boulder, National Institute of Standards and Technology (NIST)
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Structure-Performance Relationships of Lithium-Ion Battery Cathodes Revealed by Contrast-Variation Small-Angle Neutron Scattering
ORAL · Invited
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Publication: Liu Q., Brenneis W., Nagy G., Doucet M., Lopez J., Richards, J. J.* (2024). Structure-Performance Relationships of Lithium-Ion Battery Cathodes Revealed by Contrast-Variation Small-Angle Neutron Scattering. In review.
Presenters
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Jeffrey J Richards
Northwestern University
Authors
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Qingsong Liu
Northwestern University
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Willa Brenneis
Northwestern University
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Gergely Nagy
Oak Ridge National Laboratory
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Wesley Ho
Northwestern University
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Mathieu Doucet
Oak Ridge National Laboratory
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Jeffrey Lopez
Northwestern University
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Jeffrey J Richards
Northwestern University
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Abstract Withdrawn
ORAL Withdrawn
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The Center for Advanced Mathematics for Energy Research Applications (CAMERA): Advancing the Capabilities of National Scientific User Facilities Through Innovative Mathematics
ORAL
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Publication: Donatelli, Jeffrey J., Peter H. Zwart, and James A. Sethian. "Iterative phasing for fluctuation X-ray scattering." Proceedings of the National Academy of Sciences 112.33 (2015): 10286-10291.<br><br>Kurta, Ruslan P., et al. "Correlations in scattered X-ray laser pulses reveal nanoscale structural features of viruses." Physical review letters 119.15 (2017): 158102.<br><br>Donatelli, Jeffrey J., James A. Sethian, and Peter H. Zwart. "Reconstruction from limited single-particle diffraction data via simultaneous determination of state, orientation, intensity, and phase." Proceedings of the National Academy of Sciences 114.28 (2017): 7222-7227.<br><br>Pande, Kanupriya, et al. "Ab initio structure determination from experimental fluctuation X-ray scattering data." Proceedings of the National Academy of Sciences 115.46 (2018): 11772-11777.<br><br>Pelt, Daniël M., Kees Joost Batenburg, and James A. Sethian. "Improving tomographic reconstruction from limited data using mixed-scale dense convolutional neural networks." Journal of Imaging 4.11 (2018): 128.<br><br>Pelt, Daniël M., and James A. Sethian. "A mixed-scale dense convolutional neural network for image analysis." Proceedings of the National Academy of Sciences 115.2 (2018): 254-259.<br><br>Araujo, Flavio HD, et al. "Reverse image search for scientific data within and beyond the visible spectrum." Expert Systems with Applications 109 (2018): 35-48.<br><br>Noack, Marcus M., et al. "A kriging-based approach to autonomous experimentation with applications to x-ray scattering." Scientific reports 9.1 (2019): 11809.<br><br>Donatelli, Jeffrey J., and John CH Spence. "Inversion of many-beam Bragg intensities for phasing by iterated projections: Removal of multiple scattering artifacts from diffraction data." Physical review letters 125.6 (2020): 065502.<br><br>Noack, Marcus M., et al. "Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels." Scientific reports 10.1 (2020): 17663.<br><br>Noack, Marcus M., et al. "Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities." Nature Reviews Physics 3.10 (2021): 685-697.<br><br>Noack, Marcus M., and James A. Sethian. "Advanced stationary and nonstationary kernel designs for domain-aware gaussian processes." Communications in Applied Mathematics and Computational Science 17.1 (2022): 131-156.<br><br>Pande, K., et al. "Joint iterative reconstruction and 3D rigid alignment for X-ray tomography." Optics Express 30.6 (2022): 8898-8916.<br><br>Segev-Zarko, Li-av, et al. "Cryo-electron tomography with mixed-scale dense neural networks reveals key steps in deployment of Toxoplasma invasion machinery." PNAS nexus 1.4 (2022): pgac183.<br><br>Fioravante de Siqueira, Alexandre, Daniela M. Ushizima, and Stéfan J. van der Walt. "A reusable neural network pipeline for unidirectional fiber segmentation." Scientific data 9.1 (2022): 32.<br><br>Noack, Marcus M., et al. "Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels." Scientific reports 13.1 (2023): 3155.<br><br>Huang, Ying, et al. "Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning." npj Computational Materials 9.1 (2023): 93.<br><br>Chagnon, Eric, et al. "Benchmarking topic models on scientific articles using BERTeley." Natural Language Processing Journal 6 (2024): 100044.<br><br>Shah, Niteya, et al. "Optimizing and scaling the 3D reconstruction of single-particle imaging." 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2024.<br><br>Kumar, Dinesh, Dilworth Y. Parkinson, and Jeffrey J. Donatelli. "tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms." Journal of Synchrotron Radiation 31.1 (2024).<br><br>Sordo, Zineb, et al. "RhizoNet segments plant roots to assess biomass and growth for enabling self-driving labs." Scientific Reports 14.1 (2024): 12907.<br><br>Hu, Z. and Donatteli, J.J., "A Multi-Tiered Computational Methodology for Extracting 3D Rotational Diffusion Coefficients from X-ray Photon Correlation Spectroscopy Data without Structural Information" (In review)<br><br>Donatelli, J.J., Chu, M., Jiang, Z., Schwarz, N., and Sethian, J.A., "Nonuniform Iterative Phasing Framework for 3D Dynamical Inversion from Coherent Surface Scattering Imaging" (In Preparation)
Presenters
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Jeffrey Donatelli
Lawrence Berkeley National Laboratory
Authors
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Jeffrey Donatelli
Lawrence Berkeley National Laboratory
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James A Sethian
UC Berkeley and Lawrence Berkeley National Laboratory
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Marcus Noack
Lawrence Berkeley National Laboratory
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Zineb Sordo
Lawrence Berkeley National Laboratory
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Daniela Ushizima
University of California, Berkeley
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Petrus H Zwart
Lawrence Berkeley National Laboratory
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Zixi Hu
Lawrence Berkeley National Laboratory
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Kanupriya Pande
Lawrence Berkeley National Laboratory
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Dinesh Kumar
Lawrence Berkeley National Laboratory
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Ronald J Pandolfi
Lawrence Berkeley National Laboratory
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Harinarayan Krishnan
Lawrence Berkeley National Laboratory
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Alexander Hexemer
Lawrence Berkeley National Laboratory
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Eric Chagnon
Lawrence Berkeley National Laboratory
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Daniel Pelt
Leiden University
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Dilworth Parkinson
Lawrence Berkeley National Laboratory
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David A Shapiro
Lawrence Berkeley National Laboratory
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Advances in Quantifying and Improving Alignment of Carbon/Boron Nitride Nanotube Composite Films Towards Applications in Quantum Photonics
ORAL
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Publication: Manuscript to be submitted: "Aligned Boron Nitride Nanotube Thin Films and their Co-Composites with Single-Walled Carbon Nanotubes through Slow Vacuum Filtration"
Presenters
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Pavel Shapturenka
National Institute of Standards and Technology, University of Pennsylvania
Authors
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Pavel Shapturenka
National Institute of Standards and Technology, University of Pennsylvania
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Tehseen Adel
Department of Physical Sciences, University of Findlay, University of Findlay
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Frank M Abel
US Naval Academy
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Angela R. Hight Walker
National Institute of Standards and Technology (NIST)
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Jeffrey A Fagan
National Institute of Standards and Technology
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