Molecular Modeling and Multiscaling Issues for Electronic Material Applications
Volume 2
Nonfiction, Science & Nature, Science, Physics, Mechanics, Technology, Electronics
| Author: | ISBN: | 9783319128627 | |
| Publisher: | Springer International Publishing | Publication: | November 20, 2014 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319128627 |
| Publisher: | Springer International Publishing |
| Publication: | November 20, 2014 |
| Imprint: | Springer |
| Language: | English |
This book offers readers a snapshot of the progression of molecular modeling in the electronics industry and how molecular modeling is currently being used to understand materials to solve relevant issues in this field. The reader is introduced to the evolving role of molecular modeling, especially seen from the perspective of the IEEE community and modeling in electronics. This book also covers the aspects of molecular modeling needed to understand the relationship between structures and mechanical performance of materials. The authors also discuss the transitional topic of multiscale modeling and recent developments on the atomistic scale and current attempts to reach the submicron scale, as well as the role that quantum mechanics can play in performance prediction.
This book offers readers a snapshot of the progression of molecular modeling in the electronics industry and how molecular modeling is currently being used to understand materials to solve relevant issues in this field. The reader is introduced to the evolving role of molecular modeling, especially seen from the perspective of the IEEE community and modeling in electronics. This book also covers the aspects of molecular modeling needed to understand the relationship between structures and mechanical performance of materials. The authors also discuss the transitional topic of multiscale modeling and recent developments on the atomistic scale and current attempts to reach the submicron scale, as well as the role that quantum mechanics can play in performance prediction.
