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Understanding potential-dependent competition between electrocatalytic dinitrogen and proton reduction reactions

Nature communications, 2021-07, Vol.12 (1), p.4353-4353, Article 4353

2021

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Structure-Based Synthesizability Prediction of Crystals Using Partially Supervised Learning

Journal of the American Chemical Society, 2020-11, Vol.142 (44), p.18836-18843

2020

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Machine-enabled inverse design of inorganic solid materials: promises and challenges

Chemical science (Cambridge), 2020-04, Vol.11 (19), p.4871-4881

2020

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Machine learning for renewable energy materials

Journal of materials chemistry. A, Materials for energy and sustainability, 2019, Vol.7 (29), p.1796-17117

2019

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Generative Adversarial Networks for Crystal Structure Prediction

ACS central science, 2020-08, Vol.6 (8), p.1412-1420

2020

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Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records

Scientific reports, 2021-03, Vol.11 (1), p.6920-6920, Article 6920

2021

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Progress in Computational and Machine‐Learning Methods for Heterogeneous Small‐Molecule Activation

Advanced materials (Weinheim), 2020-09, Vol.32 (35), p.e1907865-n/a

2020

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Perovskite synthesizability using graph neural networks

npj computational materials, 2022-04, Vol.8 (1), p.1-8, Article 71

2022

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Analysis of accessibility to emergency rooms by dynamic population from mobile phone data: Geography of social inequity in South Korea

PloS one, 2020-04, Vol.15 (4), p.e0231079

2020

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Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

PloS one, 2018-10, Vol.13 (10), p.e0205005-e0205005

2018

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Machine learning-enabled chemical space exploration of all-inorganic perovskites for photovoltaics

npj computational materials, 2024-05, Vol.10 (1), p.97-10, Article 97

2024

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Gender Difference in the Effects of Outdoor Air Pollution on Cognitive Function Among Elderly in Korea

Frontiers in public health, 2019-12, Vol.7, p.375-375

2019

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A structure translation model for crystal compounds

npj computational materials, 2023-08, Vol.9 (1), p.142-9, Article 142

2023

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Data-Driven Prediction of Configurational Stability of Molecule-Adsorbed Heterogeneous Catalysts

Journal of chemical information and modeling, 2023-10, Vol.63 (19), p.5981-5995

2023

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Prevalence of Comorbidity among People with Hypertension: The Korea National Health and Nutrition Examination Survey 2007-2013

Korean Circulation Journal, 2016, 46(5), , pp.672-680

2016

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High dietary phosphorus density is a risk factor for incident chronic kidney disease development in diabetic subjects: a community-based prospective cohort study

The American journal of clinical nutrition, 2017-07, Vol.106 (1), p.311-321

2017

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Correction to “Generative Adversarial Networks for Crystal Structure Prediction”

ACS central science, 2022-03, Vol.8 (3), p.402-402

2022

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Short-term Effects of Ambient Air Pollution on Emergency Department Visits for Asthma: An Assessment of Effect Modification by Prior Allergic Disease History

Journal of preventive medicine and public health, 2016-09, Vol.49 (5), p.329-341

2016

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Active learning with non-ab initio input features toward efficient CO2 reduction catalysts

Chemical science (Cambridge), 2018-06, Vol.9 (23), p.5152-5159

2018

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Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals

Journal of chemical information and modeling, 2020-04, Vol.60 (4), p.1996-2003

2020

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Cohort profile: the Environmental-Pollution-Induced Neurological EFfects (EPINEF) study: a multicenter cohort study of Korean adults

Epidemiology and Health, 2021, 43(0), , pp.1-11

2021

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Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening

The journal of physical chemistry letters, 2020-05, Vol.11 (9), p.3185-3191

2020

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Inverse Design of Solid-State Materials via a Continuous Representation

Matter, 2019-11, Vol.1 (5), p.1370-1384

2019

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Activity Trends of Methane Oxidation Catalysts under Emission Conditions

ACS catalysis, 2022-08, Vol.12 (16), p.10255-10263

2022

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Reaction Templates: Bridging Synthesis Knowledge and Artificial Intelligence

Accounts of chemical research, 2024-07, Vol.57 (14), p.1964-1972

2024

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Understanding potential-dependent competition between electrocatalytic dinitrogen and proton reduction reactions

Structure-Based Synthesizability Prediction of Crystals Using Partially Supervised Learning

Machine-enabled inverse design of inorganic solid materials: promises and challenges

Machine learning for renewable energy materials

Generative Adversarial Networks for Crystal Structure Prediction

Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records

Progress in Computational and Machine‐Learning Methods for Heterogeneous Small‐Molecule Activation

Perovskite synthesizability using graph neural networks

Analysis of accessibility to emergency rooms by dynamic population from mobile phone data: Geography of social inequity in South Korea

Geographical variations and influential factors in prevalence of cardiometabolic diseases in South Korea

Machine learning-enabled chemical space exploration of all-inorganic perovskites for photovoltaics

Gender Difference in the Effects of Outdoor Air Pollution on Cognitive Function Among Elderly in Korea

A structure translation model for crystal compounds

Data-Driven Prediction of Configurational Stability of Molecule-Adsorbed Heterogeneous Catalysts

Prevalence of Comorbidity among People with Hypertension: The Korea National Health and Nutrition Examination Survey 2007-2013

High dietary phosphorus density is a risk factor for incident chronic kidney disease development in diabetic subjects: a community-based prospective cohort study

Correction to “Generative Adversarial Networks for Crystal Structure Prediction”

Short-term Effects of Ambient Air Pollution on Emergency Department Visits for Asthma: An Assessment of Effect Modification by Prior Allergic Disease History

Active learning with non-ab initio input features toward efficient CO2 reduction catalysts

Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals

Cohort profile: the Environmental-Pollution-Induced Neurological EFfects (EPINEF) study: a multicenter cohort study of Korean adults

Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening

Inverse Design of Solid-State Materials via a Continuous Representation

Activity Trends of Methane Oxidation Catalysts under Emission Conditions

Reaction Templates: Bridging Synthesis Knowledge and Artificial Intelligence

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