2021 Annual Meeting

Session: Applications of Data Science to High Throughput Experimentation

Chair

Nance, E., UNIVERSITY OF WASHINGTON

Co-Chair

Hachmann, J., University at Buffalo, SUNY

Presentations

12:30 PM

(108a) Virtual High-Throughput Screening of Vapor-Deposited Amphiphilic Polymers for Biofilm Reduction with Machine/Deep Learning

12:45 PM

(108b) High-Throughput and Data-Driven Strategies for the Design of Deep Eutectic Solvent Electrolytes.

01:15 PM

(108d) AI-Guided Autonomous Flow Reactor Platform for Accelerated Nanomaterial Synthesis Screening and Parameter Space Mapping

01:30 PM

(108e) Machine Learning Models for Rapid Compositional Quantification of Complex Multicomponent Mixtures Using Vibrational Spectroscopy

01:45 PM

(108f) Are Structure-Function Relationships Governing Polymeric Gene Delivery Payload-Specific?

02:00 PM

(108g) Enhancing Insight to Individual and Population-Based Microglial Reactivity with Image Analysis

02:15 PM

(108h) High-Affinity Non-Immunoglobin Scaffolds Promoted By Sequence Mining Impactful in High-Value Therapeutics