Computational Quantum Chemistry, Second Edition, is an extremely useful tool for teaching and research alike. It stipulates information in an accessible manner for scientific investigators, researchers and entrepreneurs. The book supplies an overview of the field and explains the fundamental underlying principles. It also gives the knowledge of numerous comparisons of different methods. The book consists of a wider range of applications in each chapter. It also provides a number of references which will be useful for academic and industrial researchers. It includes a large number of worked-out examples and unsolved problems for enhancing the computational skill of the users.
Ram Yatan Prasad, PhD, DSc (India), DSc (hc) Colombo, is a professor of chemistry and former vice chancellor of S.K.M University, Jharkhand, India, and a life fellow of Indian Chemical Society and other societies of repute. He has been two times pro-vice chancellor in Bihar and Jharkhand. To his credit, he has been a member of editorial board in national journals. He has received an Outstanding Service Award from the Governor of Jharkhand. He has been chairperson of World Academy of Sciences, Paris, France, in the international conference and has received an Appreciation Award. He has more than 46 years of experience in teaching quantum chemistry, spectroscopy, and thermodynamics at the postgraduate level. Dr. Prasad is a prolific author of chemistry and has published many research papers in reputed journals to his credit.
Pranita, PhD, DSc (hc) Sri Lanka, FICS, is an assistant professor of chemistry at Vinoba Bhave University, India. She has published many research papers in national and international journals to her credit. Her area of interest is thermodynamics of liquid state. She has 12 years of teaching experience in quantum chemistry, statistics, and liquid state.
I am a scientist at Atomwise. I use machine learning and other traditional cheminformatics tools to solve problems in drug discovery at various stages of the pipeline. My formal training is in computational quantum chemistry.
Colloidal semiconductor quantum dots (QDs) have been extensively investigated due to their attractive properties such as size-tunable absorption and emission spectra, large molar extinction coefficients, and significant photostability. These properties make them promising candidates for optoelectronic, photocatalytic, and biomedical applications. Common synthetic procedures of QDs produce nanocrystals capped with long-chain fatty acid derivatives which are stabilized in high boiling point solvents. Especially for bioimaging applications, the exchange of these native hydrophobic ligands with hydrophilic ligands should be performed, while preserving the smaller hydrodynamic radius. The coordination environment and thermodynamic parameters of the ligand exchanges should be carefully investigated to engineer improved ligand architectures to stabilize QDs in polar environments. The main focuses of this dissertation are to find ideal candidates and optimal conditions for QD ligand exchanges and investigate the binding strengths of small-molecule and polymer ligands for robust surface coatings. I will first describe the general background of the QDs including their applications, synthesis, purification, thermodynamics, and the chemistry behind the ligand exchanges. Then I will further describe the coordination environment of QDs in polar solvents using small-molecule imidazole ligands. The usage of isothermal titration calorimetry (ITC) to investigate thermodynamic parameters associated with the QD surface will be discussed in the final chapter using polymer ligand architectures. These investigations will help us improve bioimaging applications of QDs.