Dissertation writing (15000 words)

Project Desciption

Hi,

I need help with dissertation writing of 15,000 words out of which 7000 words should be of introduction.

Introduction

Overview of solubility and its applications

Hildebrandt and Scott solubility parameters and Hansen solubility parameters (HSPs)

How HSPs are determined: experimental and computational (group contribution, QSPR etc)

Machine learning-based approaches: explanation of algorithms (Lasso, Kernel Ridge etc), Rdkit, Scikit learn, numpy, pandas and matplotlib etc

Overview of the descriptors and framework used in the Bayesian paper and the 193 solvent dataset

Aims of the project

• 1-s2.0-S0300944004001298-main-highlighted.pdf
• 1-s2.0-S1383586618316356-main.pdf
• A-Bayesian-Approach-to-Predict-Solubility-Parameters-1-1.pdf
• ja02265a002.pdf
• qsar.200390007.pdf