Material-Agnostic Zero-Shot Thermal Inference for Metal Additive Manufacturing via a Parametric PINN Framework

Documenti analoghi

• PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
  di: Hassanaly, Malik, et al.
  Pubblicazione: (2023)
• PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
  di: Hassanaly, Malik, et al.
  Pubblicazione: (2023)
• Bubble2Heat: Optical to Thermal Inference in Pool Boiling Using Physics-encoded Generative AI
  di: Fu, Qianxi, et al.
  Pubblicazione: (2025)
• Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management
  di: Luo, Jiajian, et al.
  Pubblicazione: (2024)
• Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
  di: Han, Seunghee, et al.
  Pubblicazione: (2024)