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Chemistry, an Asian Journal
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March 13, 2025
Machine Learning Assisted for Preparation of Graphene Supported Cu-Zn Catalyst for CO<sub>2</sub> Hydrogenation to Methanol
Nuttapon Pisitpipathsin, Krittapong Deshsorn, Varisara Deerattrakul, et al.
Precision Chemistry
|
October 30, 2024
Liquid Phase Exfoliation of 2D Materials and Its Electrochemical Applications in the Data-Driven Future
Panwad Chavalekvirat, Wisit Hirunpinyopas, Krittapong Deshsorn, et al.
Journal of Chemical Information and Modeling
|
August 28, 2023
Unlocking the Full Potential of Heteroatom-Doped Graphene-Based Supercapacitors through Stacking Models and SHAP-Guided Optimization
Krittapong Deshsorn, Krittamate Payakkachon, Tanapat Chaisrithong, et al.
ACS Materials Au
|
January 19, 2026
Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications
Krittapong Deshsorn, Panwad Chavalekvirat, Somrudee Deepaisarn, et al.
Analytical Chemistry
|
January 31, 2025
Voltammetry Prediction and Electrochemical Analysis of Carbon Material from "Salt-In-Water" to "Water-In-Salt"
Sukanlaya Kornnum, Praeploy Chomkhuntod, Nick Schwaiger, et al.
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Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Chemistry, an Asian Journal
|
March 13, 2025
Machine Learning Assisted for Preparation of Graphene Supported Cu-Zn Catalyst for CO<sub>2</sub> Hydrogenation to Methanol
Nuttapon Pisitpipathsin, Krittapong Deshsorn, Varisara Deerattrakul, et al.
Precision Chemistry
|
October 30, 2024
Liquid Phase Exfoliation of 2D Materials and Its Electrochemical Applications in the Data-Driven Future
Panwad Chavalekvirat, Wisit Hirunpinyopas, Krittapong Deshsorn, et al.
Journal of Chemical Information and Modeling
|
August 28, 2023
Unlocking the Full Potential of Heteroatom-Doped Graphene-Based Supercapacitors through Stacking Models and SHAP-Guided Optimization
Krittapong Deshsorn, Krittamate Payakkachon, Tanapat Chaisrithong, et al.
ACS Materials Au
|
January 19, 2026
Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications
Krittapong Deshsorn, Panwad Chavalekvirat, Somrudee Deepaisarn, et al.
Analytical Chemistry
|
January 31, 2025
Voltammetry Prediction and Electrochemical Analysis of Carbon Material from "Salt-In-Water" to "Water-In-Salt"
Sukanlaya Kornnum, Praeploy Chomkhuntod, Nick Schwaiger, et al.
Page
of 1