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| 1 | Deep-learning-based inverse design model for intelligent discovery of organic molecules显示文摘The discovery of high-performance functional materials is crucial for overcoming technical issues in modern industries.Extensive efforts have been devoted toward accelerating and facilitating this process,not only experimentally but also from the viewpoint of materials design.Recently,machine learning has attracted considerable attention,as it can provide rational guidelines for efficient material exploration without time-consuming iterations or prior human knowledge.In this regard,here we develop an inverse design model based on a deep encoder-decoder architecture for targeted molecular design.Inspired by neural machine language translation,the deep neural network encoder extracts hidden features between molecular structures and their material properties,while the recurrent neural network decoder reconstructs the extracted features into new molecular structures having the target properties.In material design tasks,the proposed fully data-driven methodology successfully learned design rules from the given databases and generated promising light-absorbing molecules and host materials for a phosphorescent organic light-emitting diode by creating new ligands and combinatorial rules. | Kyungdoc Kim Seokho Kang Jiho Yoo Youngchun Kwon Youngmin Nam Dongseon Lee Inkoo Kim Youn-Suk Choi Yongsik Jung Sangmo Kim Won-Joon Son Jhunmo Son Hyo Sug Lee Sunghan Kim Jaikwang Shin Sungwoo Hwang | 2018 | npj Computational Materials2018，，1： | 4 |
| 2 | The Estima- tion of the Current Distribution onthe HTS Cable by Measuring the CircumferentialMagnetic Field 显示文摘 | Kideok Sire Seokho Kim Seokju Lee | 2010 | IEEE Transactions on Applied Superconductivity2010，20，3： | 1 |
| 3 | Expanding the individual choice-set model to couples' honeymoon destination selection process显示文摘 | HOCHAN JANG SEOKHO LEE SANG-WOO LEE SUNG-KWON HONG | 2006 | Toufism Management2006，，11： | 1 |
| 4 | Computation at the speed of light:metamaterials for all-optical calculations and neural networks显示文摘The explosion in the amount of information that is being processed is prompting the need for new computing systems beyond existing electronic computers.Photonic computing is emerging as an attractive alternative due to performing calculations at the speed of light,the change for massive parallelism,and also extremely low energy consumption.We review the physical implementation of basic optical calculations,such as differentiation and integration,using metamaterials,and introduce the realization of all-optical artificial neural networks.We start with concise introductions of the mathematical principles behind such optical computation methods and present the advantages,current problems that need to be overcome,and the potential future directions in the field.We expect that our review will be useful for both novice and experienced researchers in the field of all-optical computing platforms using metamaterials. | Trevon Badloe Seokho Lee Junsuk Rho | 2022 | Advanced Photonics2022，4，6： | 1 |
| 5 | The roles of categorization,affective images and constraints on destination choice; An application of the NMNL model显示文摘 | Jac-hyun Kim Hochan Jang Seokho Lee | 2006 | Tourism Research2006，27，： | 1 |
| 6 | The roles of categorization,affective image and constraints on destination choice:An application of the NMNL model显示文摘 | Sung-kwon Hong Jae-hyun Kim Hochan Jang Seokho Lee | 2006 | Tourism Managemen2006，27，： | 1 |
| 7 | Liquid nitrogen level meter for high-temperature superconductor (HTS)显示文摘Many kinds of high temperature superconductor (HTS) power machines such as HTS cable,HTS fault current limiter and HTS magnet are cooled by liquid nitrogen.The level of liquid nitrogen should be monitored and controlled to ensure the thermal stability and the dielectric strength as well.To measure the level,capacitance method and differential pressure method are usually used.However,each method has installation difficulties and measurement errors for unsteady state operation with varying system pressure.A new liquid level meter using a 2G HTS conductor is described,which has similar structure with the liquid helium level meter with NbTi filament.The level meter is fabricated with a parallel connected heater,which helps the separation of the superconducting region and normal region,considering the critical temperature,large heat capacity of conductor and cooling characteristics.The level of liquid nitrogen can be obtained from the measured voltage signal along the 2G HTS conductor.Design,fabrication and test results of the new liquid nitrogen level meter are presented. | PARK Heecheol JEONG Hwanjun LEE Changyeung KIM Purn CHO Jangwon KIM Seokho | 2012 | Journal of Central South University2012，19，11： | 1 |
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