Publication

Development of a quantum chemical molecular dynamics tribochemical simulator and its application to tribochemical reaction dynamics of lubricant additives

Tasuku Onodera, Ryuji Miura, Akira Suzuki, H. Tsuboi, Noriko HATAKEYAMA, A. Endou, Hiromitsu Takaba, Momoji Kubo and 1 more

Modelling and Simulation in Materials Science and EngineeringMar 23, 2010
Abstract

Tribology at the atomistic and molecular levels has been theoretically studied by a classical molecular dynamics (MD) method. However, this method inherently cannot simulate the tribochemical reaction dynamics because it does not consider the electrons in nature. Although the first-principles based MD method has recently been used for understanding the chemical reaction dynamics of several molecules in the tribology field, the method cannot simulate the tribochemical reaction dynamics of a large complex system including solid surfaces and interfaces due to its huge computation costs. On the other hand, we have developed a quantum chemical MD tribochemical simulator on the basis of a hybrid tight-binding quantum chemical/classical MD method. In the simulator, the central part of the chemical reaction dynamics is calculated by the tight-binding quantum chemical MD method, and the remaining part is calculated by the classical MD method. Therefore, the developed tribochemical simulator realizes the study on tribochemical reaction dynamics of a large complex system, which cannot be treated by using the conventional classical MD or the first-principles MD methods. In this paper, we review our developed quantum chemical MD tribochemical simulator and its application to the tribochemical reaction dynamics of a few lubricant additives.

1Authors

AuthorAffiliationh-indexCitations
Tasuku OnoderaTohoku University221,977
Ryuji MiuraTohoku University221,920
Akira SuzukiTohoku University262,286
H. TsuboiTohoku University15620
Noriko HATAKEYAMATohoku University10602
A. EndouTohoku University7127
Hiromitsu TakabaTohoku University323,652
Momoji KuboTohoku University478,405

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