Rafiqul Gani

TL;DR: In this paper, a new method for the estimation of properties of pure organic compounds is presented, which uses contributions from simple groups that allow describing a wide variety of organic compounds, while the higher levels involve polyfunctional and structural groups that provide more information about molecular fragments whose description through first-order groups is not possible.

TL;DR: In this paper, a new group contribution method for the estimation of properties of pure organic compounds is presented, which is performed at two levels: the basic level uses contributions from first-order groups, while the next higher level uses a small set of second order groups having the first order groups as building blocks.

TL;DR: In this paper, a multiauthor review article aims to bring readers up to date with some of the current trends in the field of process analytical technology (PAT) by summarizing each aspect of the subject (sensor development, PAT based process monitoring and control methods) and presenting applications both in industrial laboratories and in manufacture.

TL;DR: The challenges and opportunities are highlighted in terms of the needs for multi-level modeling with emphasis on property models that are suitable for computer-aided applications, flexible solution strategies that are able to solve a large range of chemical product design problems and finally, a systemschemical product design framework with the overall objective to reduce the time and cost to market a new or improved product.

TL;DR: In this article, the authors present revised and improved model parameters for group-contribution+ (GC+) models (combined group contribution method and atom connectivity index (CI) method) employed for the estimation of pure component properties, together with covariance matrices to quantify uncertainties in the estimated property values.