The M.S. in Chemical Engineering at Stanford focuses on equipping students with deep analytical, computational, and experimental tools to drive advancements in materials, energy, and biomolecular systems. These capstone ideas span green technologies, process design, biochemical engineering, and AI integration.
Design and Simulation of Carbon Capture Processes for Industrial Plants
Catalytic Reactor Design for Green Hydrogen Production
Bioreactor Modeling for Industrial Enzyme Production
Computational Fluid Dynamics in Packed Bed Reactor Systems
Waste-to-Biofuel Conversion Using Anaerobic Digesters
Process Optimization of Ammonia Synthesis via Machine Learning
Nanoparticle-Mediated Drug Delivery System Design
Techno-Economic Analysis of CO2 Electrolysis Reactors
Development of Photocatalysts for Solar Water Splitting
Advanced Distillation Control using Reinforcement Learning
Modeling Membrane-Based Separation of Bioactive Compounds
Polymer Reactor Kinetics and Residence Time Distribution
AI-Based Fault Detection in Chemical Process Plants
Kinetic Modeling of Sulfuric Acid Production
Design of a Lab-on-Chip Device for Onsite Chemical Analysis
Energy Integration in Chemical Plants Using Pinch Analysis
Development of Sustainable Surfactants Using Green Chemistry
Simulating Reaction Pathways with Molecular Dynamics
Reverse Osmosis System Optimization for Industrial Desalination
Smart Sensors for Real-Time Process Control in Biochemical Units
Collexa helps Stanford ChE students with simulation models, process design strategies, experimental documentation, and thesis reviews tailored to cutting-edge chemical research.
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