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Showing items 1-10 of 22 (3 Page(s) Totally)
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| 國立成功大學 |
2022 |
ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences
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Yu, C.-H.;Khare, E.;Narayan, O.P.;Parker, R.;Kaplan, D.L.;Buehler, M.J. |
| 國立成功大學 |
2022 |
Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation
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Khare, E.;Yu, C.-H.;Gonzalez, Obeso C.;Milazzo, Milazzo M.;Kaplan, D.L.;Buehler, M.J. |
| 國立成功大學 |
2022 |
End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins
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Yu, C.-H.;Chen, W.;Chiang, Y.-H.;Guo, K.;Martin, Moldes Z.;Kaplan, D.L.;Buehler, M.J. |
| 國立成功大學 |
2021 |
Tuning Mechanical Properties in Polycrystalline Solids Using a Deep Generative Framework
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Hsu, Y.-C.;Yu, C.-H.;Buehler, M.J. |
| 國立成功大學 |
2021 |
A perspective on musical representations of folded protein nanostructures
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Franjou, S.L.;Milazzo, Milazzo M.;Yu, C.-H.;Buehler, M.J. |
| 國立成功大學 |
2021 |
Deep learning model to predict fracture mechanisms of graphene
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Lew, A.J.;Yu, C.-H.;Hsu, Y.-C.;Buehler, M.J. |
| 國立成功大學 |
2021 |
End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures
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Yang, Z.;Yu, C.-H.;Guo, K.;Buehler, M.J. |
| 國立成功大學 |
2021 |
Deep learning model to predict complex stress and strain fields in hierarchical composites
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Yang, Z.;Yu, C.-H.;Buehler, M.J. |
| 國立成功大學 |
2021 |
Artificial intelligence and machine learning in design of mechanical materials
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Guo, K.;Yang, Z.;Yu, C.-H.;Buehler, M.J. |
| 國立成功大學 |
2020 |
Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling
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Yu, C.-H.;Buehler, M.J. |
Showing items 1-10 of 22 (3 Page(s) Totally)
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