2024 AIChE Annual Meeting

Session: Undergraduate Student Poster Session: Computing and Process Control

One of nine student poster sessions.

Presentations

Adsorption Column Design for Solvent-Based Plastic Recycling
Uterine Cancer Image Analysis with Convolutional Neural Networks
Automatic Generation of Reduced-Space Optimization Formulations of Process Systems for Faster Deterministic Global Optimization in Julia
Predicting High-Density Slurry Concentration with the Use of Variable Pathlength Model for Raman Spectroscopy
Development of Algorithms for Quantum Material Measurements Under Extreme Conditions
Use of Computational Modelling to Derive Structural Insights of SFB Protein P3340
Acoustic Enhanced Machine Learning Modeling of Li Metal Batteries
Virtual Nodes for Zeolite Property Prediction
Computational Studies of Phase Transformations in Sulfur Cathodes for Li/S Batteries
Efficient & Sustainable Farming through Artificial Intelligence
Machine Learning Driven Quantitation of Viable Capsids for Gene Therapy Applications
Unbiased Characterization and Classification of Coffee
A Process Operability Approach for Safety-Critical Chemical and Energy Production
Grid-Connected Battery Energy Storage Systems for Power Modulation: A Holistic Assessment Framework
CFD Analysis of Mixing in the Transition Regime: User-Defined Functions and Viscosity Variations
Leveraging Machine Learning for Life Cycle Assessment: Predicting Environmental Impacts and Scaling Sustainable Chemical Production
Structure-Sensitivity of Nitrate Reduction on Bimetallic Surfaces
Logical Proofs about the Genetic Code in Lean 4
Impact of L- and D-Peptide Isomer Mixtures on Self-Assembly in Tissue Engineering: A Molecular Dynamics Study
VLE-ML: Prediction of Vapor-Liquid Phase Equilibrium Based on Molecular Descriptors with No Code Machine Learning
Revealing Microplastic-Water Interactions in the Atmosphere Via Coarse-Grained Simulations
Investigating the Effect of Dispersity on the Conformation and Dynamics of Semiflexible Polymer Melts – Insights from Molecular Dynamics Simulations
Towards Greener Solvents: A Machine Learning (ML) Pipeline for Sustainable Alternatives
Developing Magnetic and Nonmagnetic Machine-Learned Interatomic Potentials for Gold-Promoted Nickel Catalysts
Machine-Learning the Near-Infrared Fluorescence of DNA-Stabilized Silver Nanoclusters with Quantified Uncertainty and Explainability
Optical Molecular Recognition from Chemical Reaction Mechanism Images
Predicting Amyloid Fibrillation through Transfer Learning
Explicit pH and Temperature Control of Complex Pharmaceutical Bioprocesses
Predicting Phase-Specific Entropy of Polymerization Using Machine Learning to Accelerate the Design of Recyclable Plastics
Life Cycle Sustainability Assessment of Hydrogen Energy Systems: Framework & Case Study
Developing Support Vector Machine Models to Enable Precision Oncology
Principal Component Analysis in Prostate Cancer Research
CFD Modeling of Non-Newtonian Power Law Fluids in the Transition Regime
Low-Cost Automation of Steam Distillation for Essential Oil Extraction: A Practical Approach Using Arduino Technology
Machine Learning and AI Based Models for Modeling Optimization of Photocatalytic Conversion of CO2
Data-Driven Surrogate Modeling and Optimization for Ammonia Production
Deciphering Chondroitinase ABC Thermal Stability Via Molecular Dynamics
Using CFD Simulation to Analyze the Repaired Coarctation of the Aorta
Closed-Loop Materials Discovery for Multi-Principal Element Alloys
Physics-Based Simulation of HSV Surface Glycoproteins to Inform Vaccine Design