Latest Research in Model Reduction and Neural Networks

Top Research Topics in Model Reduction and Neural Networks

• Model Reduction and Neural Networks — 2 papers
• Nuclear Engineering Thermal-Hydraulics — 1 papers
• History and Theory of Mathematics — 1 papers
• Computer Vision and Pattern Recognition — 1 papers
• Computer Science and Game Theory — 1 papers
• Artificial Intelligence — 1 papers
• Topological and Geometric Data Analysis — 1 papers
• Global Energy and Sustainability Research — 1 papers
• Religious Studies and Spiritual Practices — 1 papers
• Fusion and Plasma Physics Studies — 1 papers

Highest-Cited Papers

1. In-Containment Source-Term Evaluation Under SBO-Induced Core Damage Using MAAP-ISAAC for Wolsong Unit 2 Plant
2. The disgrace of geometry: Newton on postulates and the mechanical foundations of mathematics
3. Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
4. Sparse Disapproval Guarantees a Nonempty Hare Core
5. Interpretable dynamic modeling of coal-fired boiler–turbine systems: a physics-aligned deep learning approach
6. Physics-informed bidirectional temporal convolutional imputation network (PI-BTCIN) for microgrid missing power data
7. Towards Natural Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions
8. Constructive Organizational Field Dynamics: From Frozen Organizational Geometry to Covariant Field Evolution
9. Thermoeconomic Information Theory: Information, Energy, and Economic Persistence
10. THE LIMINAL FIELD: Structural Deepening
11. On Chronotope (On the Spatiotemporal Complex, or Chronotope / Programmatic Theses & Historical Essay, 1925)