Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
One of the key challenges in nanotechnology is to control a self-assembling system to create a specific structure. Self-organizing block copolymers offer a rich variety of periodic nanoscale patterns, and researchers have succeeded in finding conditions that lead to very long range order of the domains. However, the array of microdomains typically still contains some uncontrolled defects and lacks global registration and orientation. Recent efforts in templated self-assembly of block copolymers have demonstrated a promising route to control bottom-up self-organization processes through top-down lithographic templates. The orientation and placement of block-copolymer domains can be directed by topographically or chemically patterned templates. This templated self-assembly method provides a path towards the rational design of hierarchical device structures with periodic features that cover several length scales. © 2006 WILEY-VCH Verlag GmbH & Co. KGaA.
Imran Nasim, Melanie Weber
SCML 2024
J.H. Kaufman, Owen R. Melroy, et al.
Synthetic Metals
Shiyi Chen, Daniel Martínez, et al.
Physics of Fluids
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009