Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data-intensive computing in scientific research
- Simulation techniques for large datasets
- High-performance computing for simulations
- Data management in scientific computing
- Parallel computing for data analysis
- Big data challenges in scientific modeling
- Integration of simulation and data analytics
- Real-time data processing in simulations
- Visualization of simulation results
- Machine learning for data-intensive applications
- Case studies in data-intensive computing
- Cloud computing for scientific simulations
- Data-driven approaches in scientific inquiry
- Impact of AI on scientific simulations
- Uncertainty quantification in simulations
- Data sharing and collaboration in science
- Innovative tools for scientific computing
- Future directions in data-intensive research
- Ethics of data usage in science
- Interdisciplinary approaches to data-intensive science
All papers must be original and not previously published or submitted elsewhere.
