Evolutionary design of molecules based on deep learning and a genetic algorithm von Kwon, Youngchun, Kang, Seokho, Choi, Youn-Suk, Kim, Inkoo

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Uncertainty-aware prediction of chemical reaction yields with graph neural networks von Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk, Kang, Seokho

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Molecular search by NMR spectrum based on evaluation of matching between spectrum and molecule von Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk, Kang, Seokho

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Exceptional Lithium Storage in a Co(OH)2 Anode: Hydride Formation von Kim, Hyunchul, Choi, Woon Ih, Jang, Yoonjung, Balasubramanian, Mahalingam, Lee, Wontae, Park, Gwi Ok, Park, Su Bin, Yoo, Jaeseung, Hong, Jin Seok, Choi, Youn-Suk, Lee, Hyo Sug, Bae, In Tae, Kim, Ji Man, Yoon, Won-Sub

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Data undersampling models for the efficient rule-based retrosynthetic planning von Park, Min Sik, Lee, Dongseon, Kwon, Youngchun, Kim, Eunji, Choi, Youn-Suk

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Increase in detection sensitivity of surface acoustic wave biosensor using triple transit echo wave von Choi, Youn-Suk, Lee, Joonhyung, Lee, Yeolho, Kwak, Jiwon, Suk Lee, Soo

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Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation von Kwon, Youngchun, Yoo, Jiho, Choi, Youn-Suk, Son, Won-Joon, Lee, Dongseon, Kang, Seokho

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Compressed graph representation for scalable molecular graph generation von Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk, Shin, Kyoham, Kang, Seokho

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Deep-learning-based inverse design model for intelligent discovery of organic molecules von Kim, Kyungdoc, Kang, Seokho, Yoo, Jiho, Kwon, Youngchun, Nam, Youngmin, Lee, Dongseon, Kim, Inkoo, Choi, Youn-Suk, Jung, Yongsik, Kim, Sangmo, Son, Won-Joon, Son, Jhunmo, Lee, Hyo Sug, Kim, Sunghan, Shin, Jaikwang, Hwang, Sungwoo

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Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables von Kim, Eunji, Lee, Dongseon, Kwon, Youngchun, Park, Min Sik, Choi, Youn-Suk

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Neural Message Passing for NMR Chemical Shift Prediction von Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk, Kang, Myeonginn, Kang, Seokho

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Scalable graph neural network for NMR chemical shift prediction von Han, Jongmin, Kang, Hyungu, Kang, Seokho, Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk

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The prediction of hole mobility in organic semiconductors and its calibration based on the grain-boundary effect von Park, Jin Woo, Lee, Kyu Il, Choi, Youn-Suk, Kim, Jung-Hwa, Jeong, Daun, Kwon, Young-Nam, Park, Jong-Bong, Ahn, Ho Young, Park, Jeong-Il, Lee, Hyo Sug, Shin, Jaikwang

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Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations von Kang, Seokho, Kwon, Youngchun, Lee, Dongseon, Choi, Youn-Suk

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Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions von Kwon, Youngchun, Kim, Sun, Choi, Youn-Suk, Kang, Seokho

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Retention Time Prediction through Learning from a Small Training Data Set with a Pretrained Graph Neural Network von Kwon, Youngchun, Kwon, Hyukju, Han, Jongmin, Kang, Myeonginn, Kim, Ji-Yeong, Shin, Dongyeeb, Choi, Youn-Suk, Kang, Seokho

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An integrated ion-selective optode sensor cartridge for directly detecting electrolyte ions in blood plasma without pretreatment to adjust pH von Lee, Joonhyung, Hahn, Young Ki, Park, Jin-Young, Seo, Hyejung, Jung, Jaeyeon, Cho, Euyhyun, Choi, Youn-Suk, Lee, Soo Suk

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Silver electroceutical technology to treat sarcopenia von Kim, Min Young, Shin, Hyun Young, Cho, Sung Chun, Yang, Sohae, Intisar, Aseer, Woo, Hyeong Jung, Choi, Youn-Suk, You, Chang-Lim, Kang, Jong-Sun, Lee, Yun-Il, Park, Sang Chul, Yea, Kyungmoo, Oh, Tae Gyu, Downes, Michael, Evans, Ronald M, Kim, Minseok S

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Exploring Optimal Reaction Conditions Guided by Graph Neural Networks and Bayesian Optimization von Kwon, Youngchun, Lee, Dongseon, Kim, Jin Woo, Choi, Youn-Suk, Kim, Sun

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