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Dissertation Topics for Ph.D. Chemistry Students

Advance your expertise in chemical science with innovative research across theory, synthesis, and real-world application.

🧪 Introduction

The University of Chicago’s Ph.D. in Chemistry program empowers students to explore fundamental and interdisciplinary problems in modern chemical research. These dissertation ideas span from catalysis to computational modeling and chemical biology, preparing scholars for scientific leadership.

🧬 Suggested Dissertation Topics

Mechanistic Insights into Photoredox Catalysis for Carbon-Carbon Bond Formation

Design of Metal-Organic Frameworks for Selective Gas Separation

Single-Molecule Spectroscopy of Enzyme Dynamics

Molecular Simulations of Protein Folding Pathways Using Enhanced Sampling Techniques

Artificial Metalloenzymes for Sustainable Oxidation Reactions

Computational Design of Enzyme Inhibitors for Emerging Viral Targets

Charge Transport in Conjugated Polymers for Flexible Electronics

Catalyst Design for Asymmetric Hydrogenation Reactions

Quantum Chemical Approaches to Excited State Dynamics in Solar Materials

Kinetics of CO2 Activation by Transition Metal Complexes

Electrocatalytic Reduction of Nitrogen to Ammonia Under Mild Conditions

Photoinduced Electron Transfer in Supramolecular Complexes

Chemical Reactivity and Stability in Organic Redox Flow Batteries

Nanoparticle Synthesis for Tunable Optical Properties in Biosensors

Computational Modeling of pKa Shifts in Drug-Receptor Binding

Biophysical Characterization of Membrane Protein–Lipid Interactions

Mechanistic Studies on Organic Reactions Using Ultrafast Spectroscopy

Solid-State NMR for Studying Amorphous Drug Formulations

Designing Fluorescent Probes for Real-Time Bioimaging

High-Throughput Screening of Chiral Ligands for Selective Catalysis

Multiscale Modeling of Solvent Effects in Organic Reactions

Chemoenzymatic Synthesis of Complex Natural Products

CRISPR-Cas System Engineering for Targeted Epigenetic Editing

Reaction Pathway Exploration Using Machine Learning Potentials

Electrochemical Interfaces in Energy Storage Materials

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