Simulation

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People

  

  

  

1 of 8

  

  

  

• APICHAI BHATRANAND
• APIWAT WISITSORASAK
• CHAROENCHAI KHOMPATRAPORN
• CHERDPONG JOMDECHA
• CHUKIAT WORASUCHEEP

Publications

  

  

  

12 of 21

  

  

  

• ● Implementation of artificial neural network for prediction of pavement structure strains at critical locations; Nuttariga Limtongsomjai, Teeranai Chaiwanna, Borin Wipromchai and Warat Kongkitku; 2022; Conference proceedings article
• ● Improved Modified Class of Estimators in Estimating the Population Mean
  ; Napattchan Dansawad; 2022; Journal article
• ● Influence of temperature on elastic stiffness and time-dependent deformation behaviours of Hostun sand in triaxial compression test; Kosit Jariyatatsakorn and Warat Kongkitkul; 2022; Conference proceedings article
• ● In Silico Identification of Potential Sites for a Plastic-Degrading Enzyme by a Reverse Screening through the Protein Sequence Space and Molecular Dynamics Simulations; Charupanit, Krit; Tipmanee, Varomyalin; Sutthibutpong, et al.; 2022; Journal article
• ● Investigation of the fractional coupled-Burgers model with the exponential kernel; Akram T.; Iqbal A.; Kumam P.; Sutthibutpong T.; 2024; Journal article

Projects

  

  

  

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• ● An Accurate Description of Pre-Bias Space-Charge-Limited Current Measurements in Perovskite Thin Films for Accurate Charge Transport Properties: A New Machine Learning-Based Experimental-Computational Study; NON THONGPRONG - Office of the Dean
• ● Computational model to study the inhibition mechanism of target proteins resposible for COVID-19 infection by derivatives of compounds from Boesenbergia rotunda (fingerroot) extract; THANA SUTTHIBUTPONG - Department of Physics
• ● Investigation on Helmet Structural Performance under Severity of Motorcycle Accidents in Thailand; SUPHANUT KONGWAT - Department of Mechanical Engineering
• ● On the analysis of the fast-ion motion and preliminary design of the ion detector in Thailand Tokamak-1; APIWAT WISITSORASAK - Department of Physics
• ● Prediction of Lattice Constant in Nickel Based Superalloy using Machine Learning; RAJCHAWIT SAROCHAWIKASIT - Department of Computer Engineering