Houpu Yao
Researcher / author (OpenAlex)
Facts
1 property
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-5916-9589
- OpenAlex ID
- A5057827568as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
A Deep Learning Approach to Recover High-g Shock Signals From the Faulty Accelerometer,
Aircraft dynamics simulation using a novel physics-based learning method,
A nonlinear dynamic model and parameters identification method for predicting the shock pulse of rubber waveform generator,
A Recurrent Neural Network Approach for Aircraft Trajectory Prediction with Weather Features From Sherlock,
FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning,
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction,
Fracture pattern prediction with random microstructure using a physics-informed deep neural networks,
Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model
+3 more
← Authored by 11
A Deep Learning Approach to Recover High-g Shock Signals From the Faulty Accelerometer,
Aircraft dynamics simulation using a novel physics-based learning method,
A nonlinear dynamic model and parameters identification method for predicting the shock pulse of rubber waveform generator,
A Recurrent Neural Network Approach for Aircraft Trajectory Prediction with Weather Features From Sherlock,
FEA-Net: A Deep Convolutional Neural Network With PhysicsPrior For Efficient Data Driven PDE Learning,
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction,
Fracture pattern prediction with random microstructure using a physics-informed deep neural networks,
Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model
+3 more
Affiliated with 1
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Summary
Houpu Yao is a human[1].