The world of supercomputing, which revolves around modeling complex phenomena like how weather changes, drugs work and accidents unfold, is rarefied by any standard.
The Laboratory seeks, on one hand, to develop basic understanding and intellectual means to model complex phenomena and, on the other hand, to create a foundation for building new high-performance technologies which can be used to further research progress.
Confining a quantum gas – such as a Bose-Einstein condensate – in such an optically generated lattice creates a system that can be used to model complex phenomena in condensed matter physics, such as superfluidity.
Artificial Neural Networks (ANN) have gained a solid status as a tool for modeling complex phenomena in different areas of research and engineering practice.
Due to the ability to model complex phenomena, the artificial intelligence methods have recently been employed for wide applications in various fields of water engineering.
The Laboratory seeks, on one hand, to develop basic understanding and the intellectual means to model complex phenomena and, on the other hand, to create a foundation for building new high-performance technologies which can be used to further research progress.
Computer graphics also are essential to scientific visualization, a discipline that uses images and colours to model complex phenomena such as air currents and electric fields, and to computer-aided engineering and design, in which objects are drawn and analyzed in computer programs.
An alternate approach to modeling complex phenomena is using system dynamics (Azar 2012).
Recently, fractional calculus has played an increasing role in modeling complex phenomena in the fields of physics, chemistry, biology, and engineering (e.g., [1 4]).
Since fractional differential equations are used to model complex phenomena, they play a crucial role in engineering, physics and applied mathematics.
