2024 AIChE Annual Meeting

Session: 10D: Interactive Session: Applied Mathematics and Numerical Analysis

Poster presentations in all areas related to applied mathematics and numerical methods in chemical engineering are invited.

Chair

Paulson, J., The Ohio State University

Co-Chairs

Rajagopalan, S., Dow Inc.

Presentations

(374f) Transcriptomics Data Integrated Rice Kernel Metabolic Model Identified Histidine As a Marker of Chalkiness
(374r) Quantum-Enhanced Next-Generation Blockchain Consensus Protocol for Energy Efficiency and Climate Sustainability
(374d) Optimizing Personalized Treatment Policy for Cancer Chemotherapy
(374u) From Theoretical Models to Practical Solutions in Crystal Growth Inhibition: Role of Adaptive Kinetic Monte Carlo Simulations in Understanding Modifier Binding and Etch Pits
(374k) Towards an Integrated Asset Wide Approach for Sustainable Upstream Field Recovery
(374p) Enhancing Quantum Algorithms through Integration with Model Predictive Control Concepts
(374t) Literature-Based Discovery of Biological Concepts Associated with Diabetic Kidney Disease Using Semnet 2.0
(374o) On a Least-Squares Finite Element Method for Multicomponent Diffusion and Reaction Processes
(374l) Lion Software: A Roaring Transformation in Data Visualization
(374n) Novel Parametric Gradient Calculation Method for Multistage Systems with Generalized Constraints
(374g) Integrated Digital Design of Efficacy and Optimal Treatment of Oral Drugs
(374j) Mathematical Analysis of Percolation Processes with Application to Epidemics and Filtration
(374s) Multiple Particle Tracking Data Analyzed with Machine Learning to Predict Complex Biological Variables
(374q) Surrogate Modeling Based on Nonconventional Adaptive Sampling on Smolyak Sparse Grids
(374h) Constructing 3D Voronoi Structures: A Toolkit with Biomedical Case Studies
(374e) Innovating Soft Matter Manipulation with Fibrous Nonwovens: Integrating Computational Design and Experimental Insights for Pore-Scale Electrokinetic Applications
(374a) Novel Plant Modelling Paradigm Eliminates Plant Level Nonlinearities, Incorporates Naturally Hybrid Models, and Corresponding Software Architecture
(374m) A Fast Spectral Method for Field-Induced Behavior of Dense Electrolytes in Confined Geometries