Accelerated Discovery of Inorganic Materials: High-Throughput Experiments, Modeling, and Data Science | AIChE

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Accelerated Discovery of Inorganic Materials: High-Throughput Experiments, Modeling, and Data Science

Chair(s)

Co-chair(s)

Nune, S., Pacific Northwest National Laboratory (PNNL)
Bilodeau, C., University of Virginia

This session focuses on accelerated discovery and synthesis of inorganic materials for targeted applications through high-throughput screening using experimental, computational or AI/machine-learning techniques.

Presentations

8:00 AM
Break
8:18 AM
(696b) A DFT Analysis of Optimal Solvents for High-Throughput Processing of Imine-Linked Cofs
8:36 AM
(696c) Influence of Missing Linker and Missing Cluster Defects on the Thermal Conductivity of Metal-Organic Framework UiO-66
8:54 AM
Break
9:12 AM
(696e) Thermodynamic Stability and Anion Ordering in ABO2n and ABON2 Perovskite Oxynitrides
9:30 AM
(610e) Computational Investigation of Mxene Family for Different CO2/H2 Mixture Adsorption Processes: VSA, PSA, TSA, Ptsa, and Vtsa
9:48 AM
(696g) Autonomous Synthesis of Metal Halide Perovskite Nanocrystals
10:06 AM
(696h) Development of a High-Throughput Workflow for the Synthesis of CdSe Nanocrystals Using a Sonochemical Materials Acceleration Platform

Topics 

Materials

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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