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| 1 | Cooperative problem solving in diagnostic agents for chemical processes 显示文摘 | CHANG Tae Suk SHIN Dongil YOON En Sup | 2000 | Computers and Chemical Engineering2000，24，： | 1 |
| 2 | Optimal operation of the boil-off gas compression process using a boil-off rate model for LNG storage tank显示文摘 | SHIN Myung Wook SHIN Dongil CHOI Soo Hyoung | 2008 | Korean Journal of Chemical Engineering2008，25，1： | 1 |
| 3 | A Web-based, interactive virtual laboratory system for operations and process systems engineering education: issues, design and implementation显示文摘 | Dongil Shin En Sup Yoon | 2002 | Computers and Chemical Engineering South Korea2002，26，31： | 1 |
| 4 | Cooperative problem solving in diagnostic agents forchemical processes显示文摘 | Soo Young Eo Tae Suk Chang Dongil Shin En Sup Yoon | 2000 | Computers and Chemical Engineering2000，24，： | 1 |
| 5 | Optimal operation of the boil-off gas compression process using a boil off rate model for LNG storage tanks显示文摘 | SHIN MYUNG WOKO SHIN DONGIL CHOI SOO HYOUNG | 2008 | Korean Journal of Chemical Engineering2008，25，1： | 1 |
| 6 | A web-based, interactive virtual laboratory system for unit op- erations and process systems engineering education: Is- sues, design and implementation 显示文摘 | Dongil Shin En Sup Yoon Kyung Yong Lee | 2002 | Computers and Chemical Engineering2002，26，2： | 1 |
| 7 | 显示文摘 | Shin Dongil Yoon En Sup | 2003 | Control Engineering Practice2003，11，8： | 1 |
| 8 | Automation of the safety analysis of batch process based on multi-modeling approach显示文摘 | Byounggwan Kang Dongil Shin En Sup Yoon | 2003 | Control Engineering Practice2003，11，： | 1 |
| 9 | Automation of the safety analysis of batch processes based on multi-modeling approach 显示文摘 | Byounggwan Kang Dongil Shin En Sup Yoon | 2003 | Control Engineering Practice2003，11，： | 1 |
| 10 | Automation of the safety analysis of batch processes based on multi-modeling approach显示文摘 | Byoanggwan Kang Dongil Shin En Sup Yoon | 2003 | Control Engineering Practice2003，11，8： | 1 |
| 11 | Research and implementation of the context-aware middleware for controlling home appliances显示文摘 | Choi Jonghwa Shin Dongkyoo Shin Dongil | 2005 | IEEE Transactions on Consumer Electronics2005，51，1： | 1 |
| 12 | Web-based interactive virtual laboratory system for unit operations and process systems engi- neering education显示文摘 | Dongil Shin En Sup Yoon Sang Jin Park Euy Soo Lee | 2000 | Computers and Chemical Engineering2000，，24： | 1 |
| 13 | Design and implementation of the SMIL ( Synchronized Muhimedia Integration Language) player显示文摘 | Dongkyoo Shin Dongil Shin | 2002 | Consumer Electronics IEEE Transactions2002，48，3： | 1 |
| 14 | Optimal operation of the boil-off gas compression process using a boil-off rate model for LNG storage tank显示文摘 | SHIN Myung Wook SHIN Dongil CHOI Soo Hyoung | 2008 | Korean Journal of Chemical Engineering2008，25，1： | 1 |
| 15 | A web-based,interactive virtuallaboratory system for unit operations and process systems engineeringeducation:issues,design and implementation显示文摘 | Dongil Shin En Sup Yoon Kyung Yong Lee | 2002 | Computers and ChemicalEngineering2002，26，： | 1 |
| 16 | Optimal operation of the boil-off gas compression process using a boil-off rate model for LNG storage tank显示文摘 | Myung Wook Shin Dongil Shin Soo Hyoung Choi | 2008 | Korean Journal of Chemical Engineering2008，25，1： | 1 |
| 17 | A Web-Based Interactive Virtual Laboratory System for Unit Operations and Process Systems Engineering Education: Issues, Design and Implementation显示文摘 | Shin Dongil Yoon En Sup Lee Kyun Yong | 2002 | Computers and Chemical Engineering2002，，26： | 1 |
| 18 | 显示文摘 | Venkatasubramanian Venkat | 1996 | Computers and Chemical Engineering1996，20，2： | 1 |
| 19 | Optimal operation of the boil-off gas compression process using a boil-off rate model for LNG storage tanks显示文摘 | Myung Wook Shin Dongil Shin Soo Hyoung Choi En Sup Yoon | 2008 | Korean Journal of Chemical Engineering2008，，1： | 1 |
| 20 | Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy显示文摘Recent developments integrating micromechanics and neural networks offer promising paths for rapid predictions of the response of heterogeneous materials with similar accuracy as direct numerical simulations.The deep material network is one such approaches,featuring a multi-layer network and micromechanics building blocks trained on anisotropic linear elastic properties.Once trained,the network acts as a reduced-order model,which can extrapolate the material’s behavior to more general constitutive laws,including nonlinear behaviors,without the need to be retrained.However,current training methods initialize network parameters randomly,incurring inevitable training and calibration errors.Here,we introduce a way to visualize the network parameters as an analogous unit cell and use this visualization to“quilt”patches of shallower networks to initialize deeper networks for a recursive training strategy.The result is an improvement in the accuracy and calibration performance of the network and an intuitive visual representation of the network for better explainability. | Dongil Shin Ryan Alberdi Ricardo A.Lebensohn Rémi Dingreville | 2023 | npj Computational Materials2023，，1： | 0 |
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