Suchergebnisse - Lin, Te
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Physics-Informed Machine Learning for Two-Phase Moving-Interface and Stefan Problems von Chang, Che-Chia, Lin, Te-Sheng, Lai, Ming-Chih
Veröffentlicht 2025Volltext
Preprint -
2
Abdominal Undulation with Compliant Mechanism Improves Flight Performance of Biomimetic Robotic Butterfly von Lian, Xuyi, Luo, Mingyu, Lin, Te, Qian, Chen, Li, Tiefeng
Veröffentlicht 2025Volltext
Preprint -
3
A shallow physics-informed neural network for solving partial differential equations on surfaces von Hu, Wei-Fan, Shih, Yi-Jun, Lin, Te-Sheng, Lai, Ming-Chih
Veröffentlicht 2022Volltext
Preprint -
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A hybrid neural-network and MAC scheme for Stokes interface problems von Chang, Che-Chia, Dai, Chen-Yang, Hu, Wei-Fan, Lin, Te-Sheng, Lai, Ming-Chih
Veröffentlicht 2023Volltext
Preprint -
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Consistency Training with Physical Constraints von Chang, Che-Chia, Dai, Chen-Yang, Lin, Te-Sheng, Lai, Ming-Chih, Lai, Chieh-Hsin
Veröffentlicht 2025Volltext
Preprint -
8
TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs von Dai, Chen-Yang, Chang, Che-Chia, Lin, Te-Sheng, Lai, Ming-Chih, Lai, Chieh-Hsin
Veröffentlicht 2026Volltext
Preprint -
9
Stabilizing Physics-Informed Consistency Models via Structure-Preserving Training von Chang, Che-Chia, Dai, Chen-Yang, Lin, Te-Sheng, Lai, Ming-Chih, Lai, Chieh-Hsin
Veröffentlicht 2026Volltext
Preprint -
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Figure 4 from: Lin S-M, Shen C-C, Lin T-E, Liang Y-J, Chang W-H (2026) Redescription and neotype designation of Dopasia formosensis (Kishida, 1930) (Squamata, Anguidae) from Taiwan... von Lin, Si-Min, Shen, Chin-Chia, Lin, Te-En, Liang, Yu-Jhen, Chang, Wen-Hsien
Veröffentlicht 2026Volltext
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