DEVELOPMENT OF INTERATOMIC POTENTIAL BASED ON MACHINE LEARNING (CASE STUDY: HYDRAZINE MOLECULAR SYSTEM)
Molecular dynamics (MD) simulations play a crucial role in exploring the properties of complex materials, where the accuracy in describing interatomic interactions is vital for producing reliable results. Empirical potentials offer computational efficiency but are limited in transferability, whereas...
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Main Author: | Aliffanova Ardisa, Kevin |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/86890 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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