Search Results - "Kwon, Hyuna"

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  1. 1

    Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models by Kwon, Hyuna, Hsu, Tim, Sun, Wenyu, Jeong, Wonseok, Aydin, Fikret, Chapman, James, Chen, Xiao, Lordi, Vincenzo, Carbone, Matthew R, Lu, Deyu, Zhou, Fei, Anh Pham, Tuan

    Published in Machine learning: science and technology (01-12-2024)
    “…Spectroscopy techniques such as x-ray absorption near edge structure (XANES) provide valuable insights into the atomic structures of materials, yet the inverse…”
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    Journal Article
  2. 2

    Tuning Metal–Dihydrogen Interaction in Metal–Organic Frameworks for Hydrogen Storage by Kwon, Hyuna, Jiang, De-en

    Published in The journal of physical chemistry letters (06-10-2022)
    “…Inspired by a recently reported metal–organic framework (MOF), V2Cl2.8(btdd) [H2btdd = bis­(1H-1,2,3-triazolo­[4,5-b],[4′,5′-i])­dibenzo­[1,4]­dioxin], that…”
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    Journal Article
  3. 3

    Degradation of Perfluoroalkyl Ether Carboxylic Acids with Hydrated Electrons: Structure–Reactivity Relationships and Environmental Implications by Bentel, Michael J, Yu, Yaochun, Xu, Lihua, Kwon, Hyuna, Li, Zhong, Wong, Bryan M, Men, Yujie, Liu, Jinyong

    Published in Environmental science & technology (18-02-2020)
    “…This study explores structure–reactivity relationships for the degradation of emerging perfluoroalkyl ether carboxylic acid (PFECA) pollutants with…”
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    Journal Article
  4. 4

    Predicting Complex Erosion Profiles in Steam Distribution Headers with Convolutional and Recurrent Neural Networks by Yang, Steve D., Ali, Zulfikhar A., Kwon, Hyuna, Wong, Bryan M.

    “…The effects of erosion due to particle impingement continue to be of immense concern in various energy and technology industries. Brute force computational…”
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    Journal Article
  5. 5

    Indirect but Efficient: Laser-Excited Electrons Can Drive Ultrafast Polarization Switching in Ferroelectric Materials by Lian, Chao, Ali, Zulfikhar A, Kwon, Hyuna, Wong, Bryan M

    Published in The journal of physical chemistry letters (20-06-2019)
    “…To enhance the efficiency of next-generation ferroelectric (FE) electronic devices, new techniques for controlling ferroelectric polarization switching are…”
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    Journal Article
  6. 6

    Electron/Hole Mobilities of Periodic DNA and Nucleobase Structures from Large-Scale DFT Calculations by Kwon, Hyuna, Kumar, Anshuman, Del Ben, Mauro, Wong, Bryan M.

    Published in The journal of physical chemistry. B (06-07-2023)
    “…Electron/hole transfer mechanisms in DNA and polynucleotide structures continue to garner considerable interest as emerging charge-transport systems and…”
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    Journal Article
  7. 7

    Bromonium-Mediated Electrochemical Synthesis of 3‑Pyridinol from Biomass-Derived Furfurylamine by Yan, Kaili, Kwon, Hyuna, Huddleston, Morgan, Jiang, De-en, Sun, Yujie

    Published in Journal of physical chemistry. C (01-06-2023)
    “…Electrocatalytic biomass valorization has attracted increasing interest over the years. Amongst many possible products from biomass upgrading,…”
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    Journal Article
  8. 8

    Photothermally Active Reduced Graphene Oxide/Bacterial Nanocellulose Composites as Biofouling-Resistant Ultrafiltration Membranes by Jiang, Qisheng, Ghim, Deoukchen, Cao, Sisi, Tadepalli, Sirimuvva, Liu, Keng-Ku, Kwon, Hyuna, Luan, Jingyi, Min, Yujia, Jun, Young-Shin, Singamaneni, Srikanth

    Published in Environmental science & technology (02-01-2019)
    “…Biofouling poses one of the most serious challenges to membrane technologies by severely decreasing water flux and driving up operational costs. Here, we…”
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    Journal Article
  9. 9

    Atomistic Insights into Material Chemistry: From First Principles to Machine Learning by Kwon, Hyuna

    Published 01-01-2023
    “…In the last few decades, with the increased water pollution and energy scarcity, there have been attempts to solve these issues by studying chemical reactions…”
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    Dissertation
  10. 10
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    Nanoarchitectonics of Metal-Free Porous Polyketone as Photocatalytic Assemblies for Artificial Photosynthesis by Mondal, Sujan, Powar, Niket S, Paul, Ratul, Kwon, Hyuna, Das, Nitumani, Wong, Bryan M, In, Su-Il, Mondal, John

    Published in ACS applied materials & interfaces (12-01-2022)
    “…The main component of natural gas is methane, whose combustion contributes to global warming. As such, sustainable, energy-efficient, nonfossil-based methane…”
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    Journal Article
  12. 12

    Harnessing Semi-Supervised Machine Learning to Automatically Predict Bioactivities of Per- and Polyfluoroalkyl Substances (PFASs) by Kwon, Hyuna, Ali, Zulfikhar A., Wong, Bryan M.

    Published in Environmental science & technology letters (14-11-2023)
    “…Many per- and polyfluoroalkyl substances (PFASs) pose significant health hazards due to their bioactive and persistent bioaccumulative properties. However,…”
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    Journal Article
  13. 13

    Rerouting Pathways of Solid-State Ammonia Borane Energy Release by Biswas, Prithwish, Ghildiyal, Pankaj, Kwon, Hyuna, Wang, Haiyang, Alibay, Zaira, Xu, Feiyu, Wang, Yujie, Wong, Bryan M, Zachariah, Michael R

    Published in Journal of physical chemistry. C (13-01-2022)
    “…Ammonia borane (NH3BH3, AB) represents a promising energy-dense material for hydrogen storage and propulsion; however, its energy release mechanisms on…”
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    Journal Article
  14. 14

    Confinement Effects on Proton Transfer in TiO2 Nanopores from Machine Learning Potential Molecular Dynamics Simulations by Kwon, Hyuna, Calegari Andrade, Marcos F., Ardo, Shane, Esposito, Daniel V., Pham, Tuan Anh, Ogitsu, Tadashi

    Published in ACS applied materials & interfaces (19-06-2024)
    “…Improved understanding of proton transfer in nanopores is critical for a wide range of emerging applications, yet experimentally probing mechanisms and…”
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    Journal Article
  15. 15

    Confinement Effects on Proton Transfer in TiO 2 Nanopores from Machine Learning Potential Molecular Dynamics Simulations by Kwon, Hyuna, Calegari Andrade, Marcos F, Ardo, Shane, Esposito, Daniel V, Pham, Tuan Anh, Ogitsu, Tadashi

    Published in ACS applied materials & interfaces (19-06-2024)
    “…Improved understanding of proton transfer in nanopores is critical for a wide range of emerging applications, yet experimentally probing mechanisms and…”
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    Journal Article
  16. 16

    Stability of Calcium Ion Battery Electrolytes: Predictions from Ab Initio Molecular Dynamics Simulations by Yamijala, Sharma S. R. K. C, Kwon, Hyuna, Guo, Juchen, Wong, Bryan M

    Published in ACS applied materials & interfaces (24-03-2021)
    “…Multivalent batteries, such as magnesium-ion, calcium-ion, and zinc-ion batteries, have attracted significant attention as next-generation electrochemical…”
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    Journal Article
  17. 17

    Stability of Calcium Ion Battery Electrolytes: Predictions from Ab Initio Molecular Dynamics Simulations by Yamijala, Sharma S. R. K. C., Kwon, Hyuna, Guo, Juchen, Wong, Bryan M.

    Published in ACS applied materials & interfaces (10-03-2021)
    “…Multivalent batteries, such as magnesium-ion, calcium-ion, and zinc-ion batteries, have attracted significant attention as next-generation electrochemical…”
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    Journal Article
  18. 18

    Harnessing Neural Networks for Elucidating X‑ray Absorption Structure–Spectrum Relationships in Amorphous Carbon by Kwon, Hyuna, Sun, Wenyu, Hsu, Tim, Jeong, Wonseok, Aydin, Fikret, Sharma, Shubham, Meng, Fanchen, Carbone, Matthew R., Chen, Xiao, Lu, Deyu, Wan, Liwen F., Nielsen, Michael H., Pham, Tuan Anh

    Published in Journal of physical chemistry. C (24-08-2023)
    “…Improved understanding of structural and chemical properties through local experimental probes, such as X-ray absorption near-edge structure (XANES)…”
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    Journal Article
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    A Machine Learning Approach for Predicting Defluorination of Per- and Polyfluoroalkyl Substances (PFAS) for Their Efficient Treatment and Removal by Raza, Akber, Bardhan, Sharmistha, Xu, Lihua, Yamijala, Sharma S. R. K. C, Lian, Chao, Kwon, Hyuna, Wong, Bryan M

    Published in Environmental science & technology letters (08-10-2019)
    “…We present the first application of machine learning on per- and polyfluoroalkyl substances (PFAS) for predicting and rationalizing carbon–fluorine (C–F) bond…”
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    Journal Article