Simulation

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People

  

  

  

1 of 8

  

  

  

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

Publications

  

  

  

14 of 19

  

  

  

• ● Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting; Jingxuan Su, Sean Anderson, Mahed Javed, et al.; 2023; Journal article
• ● Prediction of Time History of Creep Strain from Time history of Stress Relaxation of Sand in Triaxial Compression Tests; Kosit Jariyatatsakorn Warat Kongkitkul; 2021; Journal article
• ● Quantum oscillations of pseudomagnetoresistance in tunable tilt-mismatch Dirac-cone junction; Phachara Rakrong, Wachiraporn Choopan and Watchara Liewrian ; 2023; Conference proceedings article
• ● Quantum transport in double tilted Dirac cone junction; Nawapan Sukprasert, Chaiyawan Saipaopan, Wachiraporn Choopan and Watchara Liewrian ; 2023; Conference proceedings article
• ● Real-time Thickness Measurement with a Modified Sagnac Interferometer Using Phase Shift Technique; Abdullahi Usman, Apichai Bhatranand, Yuttapong Jiraraksopakun, et al.; 2021; Conference proceedings article

Projects

  

  

  

1 of 2

  

  

  

• ● 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