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8,557 results on '"Gupta, Amit"'

18. Magneto-optical transport in tilted type-I double-Weyl semimetals in the presence of orbital magnetic moment

Author

Gupta, Amit

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

The magneto-optical transport of gapless type-I tilted-single Weyl semimetals exhibits suppression of total magnetoconductivities in the presence of orbital magnetic moment in linear and non-linear responses (Yang Gao et al, Phys.\ Rev.\ B {\bf 105}, 165307 (2022)). In this work, we extend our study to investigate magnetoconductivities in gapless type-I tilted double-Weyl semimetals within the semiclassical Boltzmann approach and show the differences that arise compared to single-Weyl semimetals.

Published
2024

40. ColabFit Exchange: open-access datasets for data-driven interatomic potentials

Author

Vita, Joshua A., Fuemmeler, Eric G., Gupta, Amit, Wolfe, Gregory P., Tao, Alexander Quanming, Elliott, Ryan S., Martiniani, Stefano, and Tadmor, Ellad B.

Subjects
Condensed Matter - Materials Science, Physics - Computational Physics
Abstract

Data-driven (DD) interatomic potentials (IPs) trained on large collections of first principles calculations are rapidly becoming essential tools in the fields of computational materials science and chemistry for performing atomic-scale simulations. Despite this, apart from a few notable exceptions, there is a distinct lack of well-organized, public datasets in common formats available for use with IP development. This deficiency precludes the research community from implementing widespread benchmarking, which is essential for gaining insight into model performance and transferability, and also limits the development of more general, or even universal, IPs. To address this issue, we introduce the ColabFit Exchange, the first database providing open access to a large collection of systematically organized datasets from multiple domains that is especially designed for IP development. The ColabFit Exchange is publicly available at \url{https://colabfit.org/}, providing a web-based interface for exploring, downloading, and contributing datasets. Composed of data collected from the literature or provided by community researchers, the ColabFit Exchange currently (September 2023) consists of 139 datasets spanning nearly 70,000 unique chemistries, and is intended to continuously grow. In addition to outlining the software framework used for constructing and accessing the ColabFit Exchange, we also provide analyses of the data, quantifying the diversity of the database and proposing metrics for assessing the relative diversity of multiple datasets. Finally, we demonstrate an end-to-end IP development pipeline, utilizing datasets from the ColabFit Exchange, fitting tools from the KLIFF software package, and validation tests provided by the OpenKIM framework.

Published
2023

43. Book Review

Author

Gupta, Amit and Kulshrestha, Shweta

Published
2018

46. Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Author

Pyrros, Ayis, Borstelmann, Stephen M., Mantravadi, Ramana, Zaiman, Zachary, Thomas, Kaesha, Price, Brandon, Greenstein, Eugene, Siddiqui, Nasir, Willis, Melinda, Shulhan, Ihar, Hines-Shah, John, Horowitz, Jeanne M., Nikolaidis, Paul, Lungren, Matthew P., Rodríguez-Fernández, Jorge Mario, Gichoya, Judy Wawira, Koyejo, Sanmi, Flanders, Adam E, Khandwala, Nishith, Gupta, Amit, Garrett, John W., Cohen, Joseph Paul, Layden, Brian T., Pickhardt, Perry J., and Galanter, William

Published
2024
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