Search Results - "Kwon, Hyuna"
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Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models
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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Tuning Metal–Dihydrogen Interaction in Metal–Organic Frameworks for Hydrogen Storage
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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Degradation of Perfluoroalkyl Ether Carboxylic Acids with Hydrated Electrons: Structure–Reactivity Relationships and Environmental Implications
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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Predicting Complex Erosion Profiles in Steam Distribution Headers with Convolutional and Recurrent Neural Networks
Published in Industrial & engineering chemistry research (22-06-2022)“…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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Indirect but Efficient: Laser-Excited Electrons Can Drive Ultrafast Polarization Switching in Ferroelectric Materials
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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Electron/Hole Mobilities of Periodic DNA and Nucleobase Structures from Large-Scale DFT Calculations
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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Bromonium-Mediated Electrochemical Synthesis of 3‑Pyridinol from Biomass-Derived Furfurylamine
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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Photothermally Active Reduced Graphene Oxide/Bacterial Nanocellulose Composites as Biofouling-Resistant Ultrafiltration Membranes
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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Atomistic Insights into Material Chemistry: From First Principles to Machine Learning
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 -
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Predicting Complex Erosion Profiles in Steam Distribution Headers with Convolutional and Recurrent Neural Networks
Published in Industrial & engineering chemistry research (05-04-2022)Get full text
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Nanoarchitectonics of Metal-Free Porous Polyketone as Photocatalytic Assemblies for Artificial Photosynthesis
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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Harnessing Semi-Supervised Machine Learning to Automatically Predict Bioactivities of Per- and Polyfluoroalkyl Substances (PFASs)
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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13
Rerouting Pathways of Solid-State Ammonia Borane Energy Release
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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Confinement Effects on Proton Transfer in TiO2 Nanopores from Machine Learning Potential Molecular Dynamics Simulations
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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Confinement Effects on Proton Transfer in TiO 2 Nanopores from Machine Learning Potential Molecular Dynamics Simulations
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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16
Stability of Calcium Ion Battery Electrolytes: Predictions from Ab Initio Molecular Dynamics Simulations
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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Stability of Calcium Ion Battery Electrolytes: Predictions from Ab Initio Molecular Dynamics Simulations
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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Harnessing Neural Networks for Elucidating X‑ray Absorption Structure–Spectrum Relationships in Amorphous Carbon
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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Nanoarchitectonics of Metal-Free Porous Polyketone as Photocatalytic Assemblies for Artificial Photosynthesis
Published in ACS applied materials & interfaces (28-12-2021)“…Not provided…”
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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
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