Showing results 5941 to 5960 of 8716
PRECIPITATION OF TRICARBOXYLIC-ACID BIOSURFACTANT DERIVED FROM SPICULISPORIC ACID WITH METAL-IONS IN AQUEOUS-SOLUTION HONG, JJ; Yang, Seung-Man; CHOI, YK; LEE, CH, JOURNAL OF COLLOID AND INTERFACE SCIENCE, v.173, no.1, pp.92 - 103, 1995-07 |
Precipitation-Based Nanoscale Enzyme Reactor with Improved Loading, Stability, and Mass Transfer for Enzymatic CO2 Conversion and Utilization Kim, Han Sol; Hong, Sung-Gil; Woo, Kie Moon; Teijeiro Seijas, Vanesa; Kim, Seongbeen; Lee, Jinwoo; Kim, Jungbae, ACS CATALYSIS, v.8, no.7, pp.6526 - 6536, 2018-07 |
Precise Control of Quantum Dot Location within the P3HT-b-P2VP/QD Nanowires Formed by Crystallization-Driven 1D Growth of Hybrid Dimeric Seeds Kim, Yong-Jae; Cho, Chul Hee; Paek, Kwanyeul; Jo, Mijung; Park, Mi-kyoung; Lee, Na-Eun; Kim, Youn-joong; et al, JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, v.136, no.7, pp.2767 - 2774, 2014-02 |
Precisely Determining Ultralow level UO22+ in Natural Water with Plasmonic Nanowire Interstice Sensor Gwak, Raekeun; Kim, Hongki; Yoo, Seung-Min; Lee, Sang Yup; Lee, Gyoung-Ja; Lee, Min-Ku; Rhee, Chang-Kyu; et al, SCIENTIFIC REPORTS, v.6, 2016-01 |
Predicting biochemical and physiological effects of natural products from molecular structures using machine learning Jeon, Junhyeok; Kang, Seongmo; Kim, Hyun Uk, NATURAL PRODUCT REPORTS, v.38, no.11, pp.1954 - 1966, 2021-11 |
Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model Koo, Jamin; Choi, Kyucheol; Lee, Peter; Polley, Amanda; Pudupakam, Raghavendra Sumanth; Tsang, Josephine; Fernandez, Elmer; et al, VETERINARY SCIENCES, v.8, no.12, pp.8120301, 2021-12 |
Predicting Large CO2 Adsorption in Aluminosilicate Zeolites for Postcombustion Carbon Dioxide Capture Kim, Jihan; Lin, Li-Chiang; Swisher, Joseph A.; Haranczyk, Maciej; Smit, Berend, JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, v.134, no.46, pp.18940 - 18943, 2012-11 |
Predicting low-k zeolite materials Poloni, Roberta; Kim, Jihan, JOURNAL OF MATERIALS CHEMISTRY C, v.2, no.13, pp.2298 - 2300, 2014 |
Predicting performance limits of methane gas storage in zeolites with an artificial neural network Lee, Sangwon; Kim, Baekjun; Kim, Jihan, JOURNAL OF MATERIALS CHEMISTRY A, v.7, no.6, pp.2709 - 2716, 2019-02 |
Predicting potentially hazardous chemical reactions using an explainable neural network Kim, Juhwan; Gu, Geun Ho; Noh, Juhwan; Kim, Seongun; Gim, Suji; Choi, Jaesik; Jung, Yousung, CHEMICAL SCIENCE, v.12, no.33, pp.11028 - 11037, 2021-09 |
Predicting synthesis recipes of inorganic crystal materials using elementwise template formulation Kim, Seongmin; Noh, Juhwan; Gu, Geun Ho; Chen, Shuan; Jung, Yousung, CHEMICAL SCIENCE, v.15, no.3, pp.1039 - 1045, 2024-01 |
Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning Kwon, Mun Su; Adidjaja, Joshua Julio; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.21, pp.2613 - 2620, 2023-04 |
Prediction of hydrogen hydrate equilibrium by integrating ab initio calculations with statistical thermodynamics Lee, Jae Woo; Yedlapalli, P; Lee, SY, JOURNAL OF PHYSICAL CHEMISTRY B, v.110, no.5, pp.2332 - 2337, 2006-02 |
Prediction of layer inversion velocity in three-phase fluidized beds Rim, GuanHe; Jeong, ChoHe; Bae, JongWook; Lee, Yoong; Lee, Dong Hyun; Epstein, Norman; Grace, John R.; et al, CHEMICAL ENGINEERING SCIENCE, v.100, pp.91 - 97, 2013-08 |
Prediction of Main Regime Transition with Variations of Gas and Liquid Phases in a Bubble Column Im, Hanjin; Park, Jeil; Lee, Jae Woo, ACS OMEGA, v.4, no.1, pp.1329 - 1343, 2019-01 |
Prediction of maximum yields of metabolites and optimal pathways for their production by metabolic flux analysis Hong, SH; Moon, SY; Lee, SangYup, JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY, v.13, pp.571 - 577, 2003-08 |
Prediction of metabolic fluxes by incorporating genomic context and flux-converging pattern analyses Park, Jong-Myoung; Kim, Tae-Yong; Lee, Sang-Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.107, no.33, pp.14931 - 14936, 2010-08 |
Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data Lee, GaRyoung; Lee, Sang Mi; Lee, Sungyoung; Jeong, Chang Wook; Song, Hyojin; Lee, Sang Yup; Yun, Hongseok; et al, GENOME BIOLOGY, v.25, no.1, 2024-03 |
Prediction of novel synthetic pathways for the production of desired chemicals Cho, Ayoun; Yun, Hongseok; Park, Jin Hwan; Lee, SangYup; Park, Sunwon, BMC SYSTEMS BIOLOGY, v.4, no.35, pp.1 - 16, 2010-03 |
Prediction of pellet properties for an industrial bimodal high-density polyethylene process with Ziegler-Natta catalysts Oh, SJ; Lee, J; Park, Sunwon, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, v.44, no.1, pp.8 - 20, 2005-01 |
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