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Meeting MS&T22: Materials Science & Technology
Symposium Synthesis, Characterization, Modeling and Applications of Functional Porous Materials
Presentation Title Porous Materials Design Using Machine Learning
Author(s) Lan Li
On-Site Speaker (Planned) Lan Li
Abstract Scope Nanomaterials like molecular sieve, zeolites, metal-organic frameworks, and porous carbon are considered for post-combustion CO2 capture. Millions of hypothetical porous structures have been constructed. An effective approach that can effectively and quickly identify high-performance candidates with desired properties is crucial. Machine learning is a powerful approach that can quickly screen a large scale of datasets, narrow down potential candidates, and identify data patterns and trends that can guide materials development. Therefore, machine learning has been widely utilized in different segments to enhance the efficiency of carbon capture and storage. This presentation will summarize the machine learning methods commonly used in the porous materials design. Recommendations for future applications of machine learning will be also presented.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Carbon Fibers Loaded Epoxy Foam: From Dielectric Characterization to Electromagnetic Absorption Application
Crystal Packing and Porosity in Molecular Co-crystals Based on C60 Fullerene
Development and Application of a Multi-scale Simulation Toolkit to Model Fibrous Materials Properties
E-18: Carbon Fibers Based Ultra-porous Epoxy Composites for Planar Multilayer Absorber Application
E-19: Variation in the Bulk Elasticity of Nanoporous Materials from Solid Structure Mechanical Properties
Electrochemically-induced Amorphous to Crystalline Transformation in Niobium Oxide Electrodes for Lithium-ion Batteries
Energetic Insights into Encapsulation of Molybdenum Oxide and Carbide Particles in Zeolite Y
Enhanced Recovery of Platinum Group Elements Using Functionalized Silica Materials Coupled with Durable Carbon Storage via Mineralization
Hybrid Pore Formation in Microporous Cu Spheres
Integrated Multi-characterization Approach to Understand Pore Size Distributions in Ceramic Composite Membranes
Investigating Flexible Framework Materials by Combining Powder Diffraction and First-principles Calculations
Investigating the Effect of the Aspect Ratio on the Elasticity of a Porous Material
Linking Structure and Catalytic Properties of Heterogeneous and Automotive Catalysts Through High Resolution X-ray Nanotomography and Cryogenic Focused Ion Beam Microscopy in Three Dimensions
Luminescent Tb3+-Doped Fluorapatite/Agar Nanocomposite for Detecting UO22+, Cu2+, and Cr3+ Ions
Mesoscopic Simulations of Tension and Compression of Cross-Linked Carbon Nanotube Films: Effects of the Nanotube Chirality
Metal Organic Framework Compound, [Ni(4,4’-bipyridine)Ni(CN)4]n, Based on Pillared Cyanonickelate (PICNIC) Architecture
Modeling Transport Characteristics of RO Membranes Using Macrovoid Resolved Simulations
MOF Derived Green Catalysts: Suzuki-Miyaura C–C Coupling of Aryl Chlorides and Bechamp Reduction of Nitroarenes to Amines Employing Pd@MOF and Porous Co@Carbonized MOFs as Heterogeneous and Recyclable Catalysts
Multilayer Coating with a Superhydrophobic Porous Top Layer for Carbon Steel Corrosion Protection
Neutron and X-ray Scattering to Characterize Adsorbents and Their Hosts
New Ceramic-Carbonate Membranes for Direct and Selective Capture of Low Concentration CO2
Optimizing Surfactant Templating of Yttria-Stabilized Zirconia Aerogels for High-temperature Applications: Effect of Anionic, Nonionic Surfactants
Porous Materials Design Using Machine Learning
Porous Solids with Nanostructured Surfaces for Environmental Applications
Scalable Metamaterial Synthesis via Colloidal Assembly
Structure and CO2 Adsorption Sites in the Flexible Coordination Polymer NiDBM-Bpy from Density Functional Theory Calculations
Synthesis of Hierarchical Pore Structures Within Monolithic Silica
Synthesis, Processing and Characterization of Intermetallic Compounds in the Ni-Al And Ti-Al System When Producing Porous Materials
Valorization of Waste to Energy Ash through Engineered Cellular Magmatics

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