37 citations · 58 across the 11 of their papers we have counts for
12 papers
Designing Collaborative AI-Driven Workflows for Scientific Software Engineering
Akash Dhruv, Max Knobbe, Pedro Machado +1
Agentic artificial intelligence systems can carry out a broad range of tasks in software engineering and scientific research, from writing and translating code to running workflows…
Adding New Capability in Existing Scientific Application with LLM Assistance
Anshu Dubey, Akash Dhruv
With the emergence and rapid evolution of large language models (LLM), automating coding tasks has become an important research topic. Many efforts are underway and literature abou…
Bubbleformer: Forecasting Boiling with Transformers
Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv +2
Modeling boiling (an inherently chaotic, multiphase process central to energy and thermal systems) remains a significant challenge for neural PDE surrogates. Existing models requir…
RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv +4
The proliferation of low-precision units in modern high-performance architectures increasingly burdens domain scientists. Historically, the choice in HPC was easy: can we get away…
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data
Akash Dhruv, Yangxinyu Xie, Jordan Branham +1
This paper presents a comparative study of large language models (LLMs) in interpreting grid-structured geospatial data. We evaluate the performance of a base model through structu…
Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
Akash Dhruv, Anshu Dubey
The emergence of foundational models and generative artificial intelligence (GenAI) is poised to transform productivity in scientific computing, especially in code development, ref…
Composable Design of Multiphase Fluid Dynamics Solvers in Flash-X
Akash Dhruv
Multiphysics incompressible fluid dynamics simulations play a crucial role in understanding intricate behaviors of many complex engineering systems that involve interactions betwee…
Framework and Methodology for Verification of a Complex Scientific Simulation Software, Flash-X
Akash Dhruv, Rajeev Jain, Jared O'Neal +2
Computational science relies on scientific software as its primary instrument for scientific discovery. Therefore, similar to the use of other types of scientific instruments, corr…
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv +5
In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge. Existing experimental…
Managing Software Provenance to Enhance Reproducibility in Computational Research
Akash Dhruv, Anshu Dubey
Scientific processes rely on software as an important tool for data acquisition, analysis, and discovery. Over the years sustainable software development practices have made progre…
A Vortex Damping Outflow Forcing for Multiphase Flows with Sharp Interfacial Jumps
Akash Dhruv
Outflow boundaries play an important role in multiphase fluid dynamics simulations that involve transition between liquid and vapor phases. These flows are dominated by low Weber n…
Flash-X, a multiphysics simulation software instrument
Anshu Dubey, Klaus Weide, Jared O'Neal +28
Flash-X is a highly composable multiphysics software system that can be used to simulate physical phenomena in several scientific domains. It derives some of its solvers from FLASH…