arXiv (OAI)
open access
Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers#1011078
- HoloCell: A Generative Foundation Model for Holistic Cellular Modeling#390847
- Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks#627675
- SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback#1078125
- AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents#168352
Record · ID 152964
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive