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https://classroom.google.com/c... | External Subdomain | Introduction to atomistic modeling of materials |
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https://classroom.google.com/c... | External Subdomain | 공학수학 1 |
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/index.php?mid=Publication | Subdomain Anchor | New Publication |
/index.php?mid=Publication | Subdomain Anchor | Modified ARTn method for efficient surface transition state identification |
/index.php?mid=Publication | Subdomain Anchor | This paper addresses the challenge of exploring potential energy surfaces to understand chemical reactions on surfaces, which is crucial for applications in ... |
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/index.php?mid=Publication | Subdomain Anchor | Simulating HF etching process of amorphous Si3N4 using machine learning potential |
/index.php?mid=Publication | Subdomain Anchor | This research aims to advance the atomistic understanding of dry-etching processes crucial for semiconductor manufacturing. Current molecular dynamics (MD) s... |
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/index.php?mid=Publication | Subdomain Anchor | Investigating disorder effect in Li6PS5Cl via machine-learning potential |
/index.php?mid=Publication | Subdomain Anchor | Solid-state electrolytes with argyrodite structures, have attracted considerable attention due to their superior safety and higher ionic conductivity than ot... |
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/index.php?mid=Publication | Subdomain Anchor | Parallel algorithm for graph neural network interatomic potential |
/index.php?mid=Publication | Subdomain Anchor | Message-passing graph neural network interatomic potentials (GNN-IPs), particularly those with equivariant representations, are attracting significant attent... |
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/index.php?mid=Publication | Subdomain Anchor | Predicting melting temperature via graph neural network enhanced by transfer learning |
/index.php?mid=Publication | Subdomain Anchor | Developing a machine learning model capable of predicting the melting points of inorganic crystals allows for rapid melting point predictions, eliminating th... |
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