Tuesday, March 7, 2023
8:00AM - 8:36AM
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F53.00001: Machine Learning Driven Automated Scanning Probe Microscopy for Material Discovery: Applications in Ferroelectric and Optoelectronic Materials
Invited Speaker:
Yongtao Liu
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Tuesday, March 7, 2023
8:36AM - 8:48AM
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F53.00002: Accelerating the Search for High-Performance, Novel Materials with Active Learning - An Example: Thermal Insulators
Thomas A Purcell, Matthias Scheffler, Christian Carbogno, Luca M Ghiringhelli
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Tuesday, March 7, 2023
8:48AM - 9:00AM
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F53.00003: In-silico discovery of HER/OER multi-metallic Alloy electrocatalysts through Density Functional theory calculations and active learning and machine learning
Kwak Seung Jae, Minhee Park, Won Bo Lee, YongJoo Kim
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Tuesday, March 7, 2023
9:00AM - 9:12AM
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F53.00004: Efficient Discovery of Air Separation Adsorbents via Multi-Fidelity Bayesian Optimization
Eric Taw, Yuto Yabuuchi, Kurtis M Carsch, Rachel Rohde, Jeffrey R Long, Jeffrey B Neaton
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Tuesday, March 7, 2023
9:12AM - 9:24AM
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F53.00005: Unveil the unseen: exploit information hidden in noise
Bahdan Zviazhynski, Jessica C Forsdyke, Janet M Lees, Gareth J Conduit
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Tuesday, March 7, 2023
9:24AM - 9:36AM
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F53.00006: Prediction of Crystal Symmetry Groups for Binary and Ternary Materials from Chemical Compositions using Machine Learning
Mohammed Alghadeer, Abdulmohsen A Alsaui, Yousef A Alghofaili, Fahhad H Alharbi
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Tuesday, March 7, 2023
9:36AM - 9:48AM
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F53.00007: Statistical Modeling of Frictional Properties: a Machine Learning Approach
Ranjan K Barik, Lilia M Woods
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Tuesday, March 7, 2023
9:48AM - 10:00AM
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F53.00008: Machine Learning-Based Microstructure Prediction for Laser-Sintered Alumina
Xiao Geng, jianan tang, Jianhua Tong, Dongsheng Li, Hai Xiao, Fei Peng
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Tuesday, March 7, 2023
10:00AM - 10:12AM
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F53.00009: Causal relations in determining functionalities in perovskite oxides
Ayana Ghosh, Saurabh Ghosh
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Tuesday, March 7, 2023
10:12AM - 10:24AM
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F53.00010: Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure
Minkyung Han, Chunjing Jia, Yu Lin, Cheng Peng, Feng Ke, Youssef Nashed
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Tuesday, March 7, 2023
10:24AM - 10:36AM
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F53.00011: Double descent, linear regression, and fundamental questions in materials model building
Gus L Hart
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Tuesday, March 7, 2023
10:36AM - 10:48AM
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F53.00012: Curie temperature prediction models of magnetic Heusler alloys using machine learning methods based on first-principles data from ab-initio KKR-GF calculations
Robin A Hilgers, Roman Kovacik, Daniel Wortmann, Stefan Blügel
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Tuesday, March 7, 2023
10:48AM - 11:00AM
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F53.00013: Physics Interpretable Ensemble Learning for Materials Property Prediction: Carbon as an Example
Xinyu Jiang
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