Computer Modeling Of Phenomena Research Articles

A Study on Classification and Computer Modeling of Phenomena for Prediction of Their Cause and Effect Relationships

A Study on Classification and Computer Modeling of Phenomena for Prediction of Their Cause and Effect Relationships

Recursion and parallel algorithms in geometric modeling problems

An efficient approach to the accurate computer modeling of phenomena and processes is discussed. The "divide-and-conquer" technique is used to develop a generalized parallel-recursive algorithm for simultaneous solution of a collection of interrelated problems that use a common unified data structure (weighted concatenable queue) at the merge stage. The decomposition stage is common and is executed only once for all tasks. These means are efficient and convenient for constructing and studying complex computational models.

Computer modeling of ICF target chamber phenomena

The target chamber of an inertial confinement fusion (ICF) power plant or high-yield test facility must be designed to absorb the target produced Xrays and ions and survive the resulting effects. The target chamber conditions must be restored in fractions of a second for high repetition rate power applications. Computer modeling of these phenomena is essential because equivalent conditions cannot be produced in laboratory experiments prior to the first ignition of high-yield ICF targets. Choices of models are dictated by specific reactor design strategies. The two major strategies, gas protection and sacrificial first surfaces, are used as a guide to our discussion. Physical models for ion, electron, and X-ray deposition are discussed, along with physical and numerical modeling of the resulting phase changes intarget chamber structures. The hydrodynamics and radiative transfer in the target chamber vapors and plasmas are central topics.