Author

Deepak R. Tunuguntla

Observed names: D. R. Tunuguntla, D.R. Tunuguntla, D. R. Tunuguntla, D. R. Tunuguntla, Deepak Tunuguntla, Tunuguntla, D. R., Tunuguntla, Deepak, Tunuguntla, Deepak R., Tunuguntla, Deepak Raju

Institution: Saxion

Observed institutions: Google (United States), Saxion, Beijing Academy of Artificial Intelligence, University of Twente

ORCID: 0000-0003-4391-1245

Observed ORCID: 0000-0003-4391-1245

OpenAlex ID: A5025773299

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

2023 · Scao, Teven Le, Fan, Angela, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 647

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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

2022 · Workshop, BigScience, :, et al. · arXiv (Cornell University) · 286

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Fast, flexible particle simulations — An introduction to MercuryDPM

2019 · Thomas Weinhart, Luca Orefice, et al. · Computer Physics Communications · 122

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A mixture theory for size and density segregation in shallow granular free-surface flows

2014 · D. R. Tunuguntla, O. Bokhove, et al. · Journal of Fluid Mechanics · 103

You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings

2022 · Zeerak Talat, Aurélie Névéol, et al. · 61

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Numerical modelling of granular flows: a reality check

2015 · C.R.K. Windows-Yule, D.R. Tunuguntla, et al. · Computational Particle Mechanics · 60

Comparing and contrasting size-based particle segregation models

2016 · Deepak R. Tunuguntla, Thomas Weinhart, et al. · Computational Particle Mechanics · 59

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From discrete elements to continuum fields: Extension to bidisperse systems

2015 · Deepak R. Tunuguntla, Anthony R. Thornton, et al. · Computational Particle Mechanics · 56

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MercuryDPM: A Fast and Flexible Particle Solver Part A: Technical Advances

2016 · T. Weinhart, D. R. Tunuguntla, et al. · Springer proceedings in physics · 19

Inducing Axial Banding in Bidisperse-by-Density Granular Systems Using Noncylindrical Tumbler Geometries

2017 · C. R. K. Windows-Yule, A. J. van der Horn, et al. · Physical Review Applied · 13

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Towards Scientific Machine Learning for Granular Material Simulations: Challenges and Opportunities

2025 · Marc Fransen, Andreas Fürst, et al. · Archives of Computational Methods in Engineering · 12

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Shape matters: Competing mechanisms of particle shape segregation

2022 · D. Hernández-Delfin, D. R. Tunuguntla, et al. · Physical review. E · 12

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Mercury-DPM: Fast particle simulations in complex geometries

2013 · Anthony R. Thornton, Dinant Krijgsman, et al. · University of Twente Research Information · 11

Surface flow profiles for dry and wet granular materials by Particle Tracking Velocimetry; the effect of wall roughness

2019 · Sudeshna Roy, Bert J. Scheper, et al. · The European Physical Journal E · 10

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MercuryDPM: Fast, flexible particle simulations in complex geometries : Part B: Applications

2017 · Thomas Weinhart, Deepak R. Tunuguntla, et al. · University of Twente Research Information · 7

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Modeling Granular Segregation: Insights from Four Decades of Research

2026 · Anthony R. Thornton, Kimberly Hill, et al. · Annual Review of Condensed Matter Physics · 6

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models

2025 · Margaret Mitchell, Giuseppe Attanasio, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 6

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MercuryDPM: Fast, flexible particle simulations in complex geometries part II: Applications

2017 · Thomas Weinhart, Deepak R. Tunuguntla, et al. · University of Twente Research Information · 6

Balancing size and density segregation in bidisperse dense granular flows

2017 · Deepak R. Tunuguntla, Anthony R. Thornton · EPJ Web of Conferences · 6

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Discrete element modelling of granular column collapse tests with industrial applications

2017 · Joel Torres-Serra, Deepak R. Tunuguntla, et al. · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · 3

Polydisperse granular flows over inclined channels

2015 · Deepak Tunuguntla · 3

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Erratum to: Comparing and contrasting size-based particle segregation models