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Institution Date Title Author
國立成功大學 2022 ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences 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 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 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 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 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 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 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 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 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 Yu, C.-H.;Buehler, M.J.

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