Pattern discovery and detection is that part of data mining concerned with finding ‘small, local’ structures in large data sets. Although many algorithms have been developed for such exercises, the discipline lacks a solid theoretical base comparable to that developed over the twentieth century for the modelling of large scale structures. Some of the issues of pattern discovery and detection ar...

An effective approach based on a multi-parameter rational fitting technique is proposed to model the microwave small-signal response of active solid-state devices. The model is identified by fitting multibias scattering-parameter measurements and its analytical expression is implemented in a commercial microwave circuit simulator. The approach has been applied to the modelling of a silicon-base...

Modelling and simulation are very important for revealing the relationship between process parameters internal variables like grain morphology in solidification, precipitate evolution, solid-state phase transformation laser additive manufacturing. The impact of microstructural changes on mechanical behaviors is also a hot topic Here we reviewed key developments thermal modelling, simulations, p...

This paper reports work exploring the relationship between solid modelling, mesh generating and flow solving in the general context of design optimisation. In particular, the work is interested in the opportunities derived by tightly integrating these traditionally separate activities together within one piece of software. The near term aim is to ask the question: how might a truly virtual, rap...

Geometry will play a central role in the development of intelligent robotic systems. We describe a geometry engine, called robmod, that has been designed specifically for intelligent robotics applications. robmod is usable both as a geometric modelling system, based on the constructive solid geometry paradigm, and as a geometry engine that can be interrogated by programs that are reasoning abou...

Advances in functional materials for energy conversion and storage technologies are crucial in addressing the global challenge of green sustainable energy. This article aims to demonstrate the valuable role that modern modelling techniques now play in providing deeper fundamental insight into novel materials for rechargeable lithium batteries and solid oxide fuel cells. Recent work is illustrat...

Our understanding of crystal growth continues to increase thanks to progress in theoretical models, computer simulations and experimental techniques. A discussion of the state-of-the-art in morphology prediction and of the determination of the solid-liquid interface structure using X-ray diffraction shows, however, that there is still a large gap between experiment and theory. We expect that co...

Empirical modelling is a new approach to the construction of physical (typically computer-based) artefacts. Model construction proceeds in an open-ended and exploratory manner in association with the identi cation of observables, dependency and agency. Knowledge of the referent is acquired through experiment, and | through the use of metaphor | interaction with the artefact is contrived so as t...

This thesis details the process taken for the computational modelling of convective heat transfer in porous media with the objective of improving the accuracy of porous continuum models. CFD simulations were performed to predict convective heat transfer resulting from forced flow through highly conductive porous blocks. For the pore-level predictions, an idealized geometric model for spherical-...

This review seeks to offer a broad perspective that encompasses an understanding of the drug product attributes affected by active pharmaceutical ingredient (API) physical properties, their link to solid form selection and the role of particle engineering. While the crucial role of active pharmaceutical ingredient (API) solid form selection is universally acknowledged in the pharmaceutical indu...