Sentence examples for modeling complex phenomena from inspiring English sources

The world of supercomputing, which revolves around modeling complex phenomena like how weather changes, drugs work and accidents unfold, is rarefied by any standard.

Artificial Neural Networks (ANN) have gained a solid status as a tool for modeling complex phenomena in different areas of research and engineering practice.

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]).

They are specially suited for modeling complex phenomena in a scale-free manner and have been used in biological studies for a long time (Ermentrout and Edelstein-Keshet 1993).

This might be reasoned in a deviating focus of most hydrogen prediction tools, which concentrate rather on the whole protein than on single binding sites, but it might also reflect the difficulty of properly modeling complex phenomena like tautomerism and ionization of arbitrary organic molecules.

Gene Expression Programming (GEP) is one of the AI techniques that have emerged as a powerful tool in modeling complex phenomenon into simpler chromosomal architecture.

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.

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.