Data Science in Physics
ORAL · Q12 · ID: 1448311
Presentations
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Various Examples of Using Freely Available, Downloadable Data to Teach Fourier and Wavelet Analysis
ORAL
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Publication: N/A
Presenters
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Joseph J Trout
Richard Stockton College of New Jersey
Authors
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Joseph J Trout
Richard Stockton College of New Jersey
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Gracie Buondonno
Richard Stockton College of New Jersey
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Emily Garvie
Stockton University
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ParaMonte: A Cross-Language Parallel Monte Carlo and Machine Learning Library
ORAL
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Publication: ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran<br>https://joss.theoj.org/papers/10.21105/joss.02741
Presenters
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Amir Shahmoradi
University of Texas
Authors
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Amir Shahmoradi
University of Texas
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Fatemeh Bagheri
University of Texas at Arlington
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Joshua Osborne
University of Texas at Arlington
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Machine Learning Enabled Intelligent Self-Powered Sensors for Next-Generation Electronic Devices
ORAL
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Presenters
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Anand Babu
Institute of Nano Science and Technology, Mohali
Authors
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Anand Babu
Institute of Nano Science and Technology, Mohali
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Dipankar Mandal
IInstitute of Nano Science and Technology, Mohali
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Calibrated Predictive Distributions
ORAL
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Publication: 1. "Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression", published at Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021) (https://ui.adsabs.harvard.edu/abs/2021arXiv211015209D/abstract)<br>2. "Calibrated Predictive Distributions via Diagnostics for Conditional Coverage", submitted to AISTATS 2023 (https://ui.adsabs.harvard.edu/abs/2022arXiv220514568D/abstract)
Presenters
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Biprateep Dey
University of Pittsburgh
Authors
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Biprateep Dey
University of Pittsburgh
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David Zhao
Carnegie Mellon University
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Jeffrey A Newman
University of Pittsburgh
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Brett Andrews
University of Pittsburgh
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Ann Lee
Carnegi Mellon University
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Rafael Izbicki
UFSCAR
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Machine Learning Classification of Time-varying Astrophysical Sources from the Zwicky Transient Facility
ORAL
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Publication: van Roestel, J. et al., 2021, "The ZTF Source Classification Project. I. Methods and Infrastructure", ApJ, 161, 267<br>Coughlin, M. W. et al., 2021, "The ZTF Source Classification Project - II. Periodicity and variability processing metrics", MNRAS, 505, 2954
Presenters
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Brian F Healy
University of Minnesota
Authors
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Brian F Healy
University of Minnesota
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Michael W Coughlin
University of Minnesota
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Ashish Mahabal
Caltech
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Jan van Roestel
University of Amsterdam
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Shreya Anand
Caltech
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Mohammed Guiga
University of Minnesota
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Dragon Reed
University of Minnesota
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Antonio Rodriguez
Caltech
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Sugmin Park
University of Minnesota
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Kyle Norko
University of Minnesota
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Saagar Parikh
IIT Gandhinagar
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Tomás Ahumada
Caltech
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Mark Kennedy
University College Cork
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Niharika Sravan
Caltech
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Andrew Drake
Caltech
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Matthew Graham
Caltech
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Lynne Hillenbrand
Caltech
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Mansi Kasliwal
Caltech
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Paula Szkody
University of Washington
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Joshua Bloom
University of California, Berkeley
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Guy Nir
University of California, Berkeley
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Robert Stein
Caltech
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Sparse Convolutional Neural Network for NOvA
ORAL
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Presenters
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Haejun Oh
University Of Cincinnati
Authors
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Haejun Oh
University Of Cincinnati
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Evolutionary Search and Theoretical Study of Silicene Grain Boundaries' Mechanical Properties
ORAL
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Publication: Zhang, J., Aditya, K., Sankaranarayanan, S. K. R. S. & Lilley, C. M. Evolutionary Search and Theoretical Study of Silicene Grain Boundaries' Mechanical Properties. Manuscript in preparation.
Presenters
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Jianan Zhang
University of Illinois at Chicago
Authors
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Jianan Zhang
University of Illinois at Chicago
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Aditya Koneru
Center for Nanoscale Materials, Argonne National Lab; Department of Mechanical and Industrial Engineering, The University of Illinois at Chicago
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Carmen M Lilley
Department of Mechanical and Industrial Engineering, The University of Illinois at Chicago
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Subramanian K Sankaranarayanan
University of Illinois, Argonne National
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Effects of the variation length, catastrophe and rescue on the dynamics of microtubules: machine learning approach
ORAL
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Publication: 1- Nganfo, W. A., Kenfack-Sadem, C., Fotué, A. J., Ekosso, M. C., Wopunghwo, S. N., &<br>Fai,L.C.(2022). Dynamics of exciton polaron in microtubule. Heliyon, e08897.<br>2-Nganfo, W. A., Kenfack-Sadem, C., Ekosso, M. C.,Wopunghwo, S. N., Fotué, A. J., & Fai,<br>L. C. (2021). Dynamic behaviour of microtubules around the critical temperature and effect of<br>the electric field produced by these vibrations on its environment. The European Physical<br>Journal Plus, 136(10), 1-12.<br>3-C. Kenfack-Sadem, W. A. Nganfo, M. C. Ekosso, S. N. Wopunghwo, M. F. C. Fobasso, A.<br>J. Fotué, L. C. Fai, "Dynamics of microtubule pseudo-spin", International Journal of<br>Biophysics, 10 (2020)<br>4-W. A. Nganfo, C. Kenfack-Sadem, M. C. Ekosso, S. N. Wopunghwo, M. F. C. Fobasso, A.<br>J. Fotué, L. C. Fai, "Effects of External Electric Field on the Thermodynamic properties of<br>Microtubules during dynamic instability", International Journal of Biophysics, 10 (2020) 17-<br>24.
Presenters
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NGANFO YIFOUE WILLY ANISET
University of Dschang
Authors
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NGANFO YIFOUE WILLY ANISET
University of Dschang
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Machine Learning Model Identification on a Single HPGe Crystal Growth Dynamics-Based LSTM Neural Networks
ORAL
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Presenters
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PRAMOD ACHARYA
University of South Dakota
Authors
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PRAMOD ACHARYA
University of South Dakota
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Sanjay Bhattarai
University of South Dakota
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Mathbar S Raut
University of South Dakota
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Hao Mei
University of South Dakota
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Dongming Mei
University of South Dakota
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