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Sanggyu Chong

Showing results (1-10 of 18) with videos related to

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Dalton Transactions (Cambridge, England : 2003)|December 4, 2019
Rational modifications of PCN-700 to induce electrical conductivity: a computational studySanggyu Chong, Jihan Kim
Nature Communications|November 18, 2017
Excavating hidden adsorption sites in metal-organic frameworks using rational defect engineeringSanggyu Chong, Günther Thiele, Jihan Kim
Digital Discovery|September 15, 2025
Uncertainty in the era of machine learning for atomistic modelingFederico Grasselli, Sanggyu Chong, Venkat Kapil, et al.
Nano Letters|January 8, 2024
Structural Determinants of Chirally Selective Transport of Amino Acids through the α-Hemolysin Protein Nanopores of Free-Standing Planar Lipid MembranesYohan Lee, Sanggyu Chong, Chiwoo Lee, et al.
Faraday Discussions|September 25, 2024
Prediction rigidities for data-driven chemistrySanggyu Chong, Filippo Bigi, Federico Grasselli, et al.
The Journal of Chemical Physics|February 13, 2026
Resolving the body-order paradox of machine learning interatomic potentialsSanggyu Chong, Tong Jiang, Michelangelo Domina, et al.
Journal of Chemical Theory and Computation|November 10, 2023
Robustness of Local Predictions in Atomistic Machine Learning ModelsSanggyu Chong, Federico Grasselli, Chiheb Ben Mahmoud, et al.
Advanced Materials (Deerfield Beach, Fla.)|January 5, 2022
Oxide/ZIF-8 Hybrid Nanofiber Yarns: Heightened Surface Activity for Exceptional Chemiresistive SensingDong-Ha Kim, Sanggyu Chong, Chungseong Park, et al.
Digital Discovery|March 12, 2026
A universal machine learning model for the electronic density of statesWei Bin How, Pol Febrer, Sanggyu Chong, et al.
ACS Applied Materials & Interfaces|November 14, 2018
Edge-Functionalized Graphene Nanoribbon Chemical Sensor: Comparison with Carbon Nanotube and GrapheneKyeong Min Cho, Soo-Yeon Cho, Sanggyu Chong, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Dalton Transactions (Cambridge, England : 2003)|December 4, 2019
Rational modifications of PCN-700 to induce electrical conductivity: a computational studySanggyu Chong, Jihan Kim
Nature Communications|November 18, 2017
Excavating hidden adsorption sites in metal-organic frameworks using rational defect engineeringSanggyu Chong, Günther Thiele, Jihan Kim
Digital Discovery|September 15, 2025
Uncertainty in the era of machine learning for atomistic modelingFederico Grasselli, Sanggyu Chong, Venkat Kapil, et al.
Nano Letters|January 8, 2024
Structural Determinants of Chirally Selective Transport of Amino Acids through the α-Hemolysin Protein Nanopores of Free-Standing Planar Lipid MembranesYohan Lee, Sanggyu Chong, Chiwoo Lee, et al.
Faraday Discussions|September 25, 2024
Prediction rigidities for data-driven chemistrySanggyu Chong, Filippo Bigi, Federico Grasselli, et al.
The Journal of Chemical Physics|February 13, 2026
Resolving the body-order paradox of machine learning interatomic potentialsSanggyu Chong, Tong Jiang, Michelangelo Domina, et al.
Journal of Chemical Theory and Computation|November 10, 2023
Robustness of Local Predictions in Atomistic Machine Learning ModelsSanggyu Chong, Federico Grasselli, Chiheb Ben Mahmoud, et al.
Advanced Materials (Deerfield Beach, Fla.)|January 5, 2022
Oxide/ZIF-8 Hybrid Nanofiber Yarns: Heightened Surface Activity for Exceptional Chemiresistive SensingDong-Ha Kim, Sanggyu Chong, Chungseong Park, et al.
Digital Discovery|March 12, 2026
A universal machine learning model for the electronic density of statesWei Bin How, Pol Febrer, Sanggyu Chong, et al.
ACS Applied Materials & Interfaces|November 14, 2018
Edge-Functionalized Graphene Nanoribbon Chemical Sensor: Comparison with Carbon Nanotube and GrapheneKyeong Min Cho, Soo-Yeon Cho, Sanggyu Chong, et al.
Pageof 2