Akash Dhruv

According to our database, Akash Dhruv authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bubbleformer: Forecasting Boiling with Transformers.

Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv, Vishwanath Ganesan, Aparna Chandramowlishwaran

CoRR, July, 2025

RAPTOR: Practical Numerical Profiling of Scientific Applications.

Felix Hörold, Ivan R. Ivanov, Akash Dhruv, William S. Moses, Anshu Dubey, Mohamed Wahib, Jens Domke

CoRR, July, 2025

Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data.

Akash Dhruv, Yangxinyu Xie, Jordan Branham, Tanwi Mallick

CoRR, May, 2025

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing.

Akash Dhruv, Anshu Dubey

Proceedings of the Platform for Advanced Scientific Computing Conference, 2025

2024

A vortex damping outflow forcing for multiphase flows with sharp interfacial jumps.

Akash Dhruv

J. Comput. Phys., 2024

Enabling Data Reduction for Flash-X Simulations.

Rajeev Jain, Houjun Tang, Akash Dhruv, Suren Byna

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

BoxKit: A Python library to manage analysis of block-structured simulation datasets.

Akash Dhruv

J. Open Source Softw., December, 2023

Managing Software Provenance to Enhance Reproducibility in Computational Research.

Akash Dhruv, Anshu Dubey

Comput. Sci. Eng., 2023

Composable Design of Multiphase Fluid Dynamics Solvers in Flash-X.

Akash Dhruv

CoRR, 2023

Framework and Methodology for Verification of a Complex Scientific Simulation Software, Flash-X.

Akash Dhruv, Rajeev Jain, Jared O'Neal, Klaus Weide, Anshu Dubey

CoRR, 2023

Designing Laboratory Notebooks for Managing Software-based Scientific Studies.

Akash Dhruv, Anshu Dubey

CoRR, 2023

BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning.

Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran

CoRR, 2023

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning.

Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Flash-X: A multiphysics simulation software instrument.

Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul M. Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore

SoftwareX, 2022

Accelerating Flash-X Simulations with Asynchronous I/O.

Rajeev Jain, Houjun Tang, Akash Dhruv, James Austin Harris, Suren Byna

Proceedings of the IEEE/ACM International Parallel Data Systems Workshop, 2022