|
English
|
正體中文
|
简体中文
|
总笔数 :2856640
|
|
造访人次 :
53522158
在线人数 :
824
教育部委托研究计画 计画执行:国立台湾大学图书馆
|
|
|
"buehler m j"的相关文件
显示项目 1-10 / 22 (共3页)
1 2 3 > >>
每页显示[10|25|50]项目
| 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. |
显示项目 1-10 / 22 (共3页)
1 2 3 > >>
每页显示[10|25|50]项目
|
