| 2022-12 | A general rule for predicting the magnetic moment of Cobalt-based Heusler compounds using compressed sensing and density functional theory | Bhattacharjee, Satadeep; Lee, Seung Cheol |
| 2024-06 | A new circulation in glycolysis of polyethylene terephthalate using MOF-based catalysts for environmental sustainability of plastic | Pham, Duong Dinh; Vo, Dat-Nguyen; Phong, Mai Thanh; Nguyen, Huu Hieu; Nguyen-Thoi, Trung; Pham, Thuy-Phuong T.; Phuong, Duy Ha Le; Pham, Le Kim Hoang; Won, Da Hye; Nguyen, Dang Le Tri; Nguyen, Tung M. |
| 2021-04-23 | Artificial intelligence-based nomogram for small-incision lenticule extraction | Park, Seungbin; Kim, Hannah; Kim, Laehyun; Kim, Jin-kuk; Lee, In Sik; Ryu, Ik Hee; Kim, Youngjun |
| 2022-10 | Classification of Stroke Severity Using Clinically Relevant Symmetric Gait Features Based on Recursive Feature Elimination With Cross-Validation | JOOHWAN SUNG; Han, Sungmin; Park, Heesu; Hwang, Soree; Lee, Song Joo; Park, Jong Woong; Youn, Inchan |
| 2021-10 | Classifying the Risk of Cognitive Impairment Using Sequential Gait Characteristics and Long Short-Term Memory Networks | Jung, D.; Kim, J.; Kim, M.; Won, C.W.; Mun, K. |
| 2021-02 | Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions | Seo, Hyunseok; Bassenne, Maxime; Xing, Lei |
| 2022-12 | Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions | Park, Sanghun; Shim, Jaegyu; Yoon, Nakyung; Lee, Sungman; Kwak, Donggeun; Lee, Seungyong; Kim, Young Mo; Son, Moon; Cho, Kyung Hwa |
| 2024-07 | Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline | Chae, Sung Ho; Hong, Seok Won; Son, Moon; Cho, Kyung Hwa |
| 2024-10 | DNN-Based Force Estimation in Hyper-Redundant Manipulators | Choi, Sunwoong; Moon, Yonghwan; Kim, Jeongryul; Kim, Keri |
| 2025-08 | Electrochemical activation of alum sludge for the adsorption of lead (Pb(II)) and arsenic (As): Mechanistic insights and machine learning (ML) analysis | Kim, Hye-Bin; Ehsan, Muhammad Fahad; Alshawabkeh, Akram N.; Kim, Jong-Gook |
| 2020-07-14 | Evolutionary chemical binding similarity approach integrated with 3D-QSAR method for effective virtual screening | Durai, Prasannavenkatesh; Ko, Young-Joon; Pan, Cheol-Ho; Park, Keunwan |
| 2022-09 | Generation of co-speech gestures of robot based on morphemic analysis | Chae, Yu-Jung; Nam, Changjoo; Yang, Daseul; Sin, HunSeob; 김창환; 박성기 |
| 2025-06 | Historical, seasonal, and spatial variations in chlorination disinfection byproducts within Seoul's drinking water distribution system: A decade-long assessment | Park, Ji Won; Lee, Yun; Noh, Jin Hyung; Maeng, Sung Kyu |
| 2022-02 | Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring | Hi Gyu Moon; Youngmo Jung; Beomju Shin; Donggeun Lee; Kayoung Kim; Deok Ha Woo; Seok Lee; Sooyeon Kim; Chong-Yun Kang; Taikjin Lee; Chulki Kim |
| 2020-12 | Identification of crystal symmetry from noisy diffraction patterns by a shape analysis and deep learning | Tiong, Leslie Ching Ow; Kim, Jeongrae; Han, Sang Soo; Kim, Donghun |
| 2022-03 | Interpolation and extrapolation between the magnetic chiral states using autoencoder | Yoon, H.G.; Lee, C.; Lee, D.B.; Park, S.M.; Choi, Jun Woo; Kwon, Hee Young; Won, C. |
| 2021-02-15 | Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensing | Kim, Hyungi; Choi, Sang-Kee; Ahn, Jungmo; Yu, Hojeong; Min, Kyoungha; Hong, Changgi; Shin, Ik-Soo; Lee, Sanghee; Lee, Hakho; Im, Hyungsoon; Ko, JeongGil; Kim, Eunha |
| 2021-02-01 | Learning the properties of a water-lean amine solvent from carbon capture pilot experiments | Kim, Jeongnam; Na, Jonggeol; Kim, Kyeongsu; Bak, Ji Hyun; Lee, Hyunjoo; Lee, Ung |
| 2023-01 | Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green | Jaffari, Zeeshan Haider; Abbas, Ather; Lam, Sze-Mun; Park, Sanghun; Chon, Kangmin; Kim, Eun-Sik; Cho, Kyung Hwa |
| 2023-12 | Machine learning filters out efficient electrocatalysts in the massive ternary alloy space for fuel cells | Park, Youngtae; Hwang, Chang-Kyu; Bang, Kihoon; Hong, Doosun; Nam, Hyobin; Kwon, Soonho; Yeo, Byung Chul; Go, Dohyun; An, Jihwan; Ju, Byeong-Kwon; Kim, Sang Hoon; Byun, Ji Young; Lee, Seung Yong; Kim, Jong Min; Kim, Donghun; Han, Sang Soo; Lee, Hyuck Mo |
| 2024-10 | Machine-learning-empowered identification of initial growth modes for 2D transition metal dichalcogenide thin films | Chong, Minsu; Rhee, Tae Gyu; Khim, Yeong Gwang; Jung, Min-Hyoung; Kim, Young -Min; Jeong, Hu Young; Kim, Heung-Sik; Chang, Young Jun; Kim, Hyuk Jin |
| 2024-09 | Metadata and feature importance analyses of membrane capacitive deionization models: Is a water treatment artificial intelligence panacea possible? | Chae, Sung Ho; Hong, Seok Won; Son, Moon |
| 2018-11-02 | Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics | Park, Seongeon; Na, Jonggeol; Kim, Minjun; Lee, Jong Min |
| 2023-11 | Neural Network-Based Joint Velocity Estimation Method for Improving Robot Control Performance | Kim, Dong Hwan; Hwang, Soonwook; Lim, Myotaeg; Oh, Yong hwan; Lee, Yisoo |
| 2023-02 | Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction | Lim, Seung Ji; Son, Moon; Ki, Seo Jin; Suh, Sang-Ik; Chung, Jaeshik |
| 2019-04-10 | Pattern Learning Electronic Density of States | Yeo, Byung Chul; Kim, Donghun; Kim, Chansoo; Han, Sang Soo |
| 2024-08 | Performance investigation of osmotically assisted reverse osmosis using explainable machine learning models: A comparative study | Chae, Sung Ho; Moon, Seokyoon; Hong, Seok Won; Lee, Chulmin; Son, Moon |
| 2021-07 | Pilot study of a single-channel EEG seizure detection algorithm using machine learning | Ryu, Seungjun; Back, Seunghyeok; Lee, Seongju; Seo, Hyeon; Park, Chanki; Lee, Kyoobin; Kim, Dong-Seok |
| 2020-11 | Predicting mobile trading system discontinuance: The role of attention | Kim, Dongyeon; Park, Kyuhong; Lee, Dong-Joo; Ahn, Yongkil |
| 2023-03 | Prediction of Pressure-Composition-Temperature Curves of AB(2)-Type Hydrogen Storage Alloys by Machine Learning | Kim, Jeong Min; Ha, Taejun; Lee, Joonho; Lee, Young-Su; Shim, Jae-Hyeok |
