Monday, March 6, 2023
8:00AM - 8:12AM
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A53.00001: Screening the unexplored crystal prototype space and inverting XRD patterns with the WREN machine-learning model
Rickard Armiento, Abhijith S Parackal, Rhys Goodall, Felix A Faber, Alpha A Lee
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Monday, March 6, 2023
8:12AM - 8:24AM
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A53.00002: Semi and Self Supervised approaches to Space Group and Bravais Lattice Determination
William Ratcliff, Satvik S Lolla, Ichiro Takeuchi, Aaron Kusne, Haotong Liang
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Monday, March 6, 2023
8:24AM - 8:36AM
Author not Attending
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A53.00003: Machine Learning the Electronic Structure of Phase Change Materials
Qunfei Zhou, Suvo Banik, Srilok Srinivasan, Subramanian K Sankaranarayanan, Pierre Darancet
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Monday, March 6, 2023
8:36AM - 8:48AM
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A53.00004: Data-driven studies of topological magnetic vdW materials
Romakanta Bhattarai, Peter Minch, Trevor David Rhone
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Monday, March 6, 2023
8:48AM - 9:00AM
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A53.00005: Data-driven Study of Magnetic Anisotropy in Transition Metal Dichalcogenide Monolayers
Peter Minch, Romakanta Bhattarai, Trevor David Rhone
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Monday, March 6, 2023
9:00AM - 9:12AM
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A53.00006: Using chemical-formula-based generalizable models to expand the search space for viable interconnect materials
Akash Ramdas, Evan J Reed, Felipe H da Jornada
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Monday, March 6, 2023
9:12AM - 9:24AM
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A53.00007: How to Search for Stable Inorganic Compounds More Efficiently
Sean D Griesemer, Ruijie Zhu, Koushik Pal, Cheol Park, Logan Ward, Christopher M Wolverton
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Monday, March 6, 2023
9:24AM - 9:36AM
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A53.00008: Integrating Machine Learning with Mechanistic Models for Predicting the Yield Strength of High Entropy Alloys
Shunshun Liu, Kyungtae Lee, Prasanna V Balachandran
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Monday, March 6, 2023
9:36AM - 9:48AM
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A53.00009: Statistics on the magnetism of cobalt compounds: A database approach to discovering new Co-based ferromagnets
Journey K Byland, Yunshu Shi, David S Parker, Jingtai Zhao, Shaoqing Ding, Rogelio Mata, Haley E Magliari, Andriy Palasyuk, Sergey L Bud'ko, Paul C Canfield, Peter Klavins, Valentin Taufour
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Monday, March 6, 2023
9:48AM - 10:00AM
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A53.00010: Navigating materials design space with variational autoencoders to learn materials thermodynamics
Vahe Gharakhanyan, Dallas R Trinkle, Snigdhansu Chatterjee, Alexander Urban
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Monday, March 6, 2023
10:00AM - 10:12AM
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A53.00011: Automatic, physical data extraction from scientific publications for application to generative molecular design in computational materials discovery
Ronaldo Giro, Mohab Elkaref, Hsianghan Hsu, Nathan Herr, Geeth de Mel, Mathias B Steiner
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Monday, March 6, 2023
10:12AM - 10:24AM
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A53.00012: Machine Learned Synthesizability Predictions Aided by Density Functional Theory
Andrew Lee, Suchismita Sarker, James E Saal, Logan Ward, Christopher Borg, Apurva Mehta, Christopher M Wolverton
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Monday, March 6, 2023
10:24AM - 10:36AM
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A53.00013: Hypothesis-driven active learning over the chemical space
Ayana Ghosh, Sergei V Kalinin, Maxim Ziatdinov
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Monday, March 6, 2023
10:36AM - 10:48AM
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A53.00014: Artificial intelligence guided materials discovery of van der Waals magnets
Trevor David Rhone, Bethany A Lusch, Misha Salim, Haralambos Gavras, Vaishnavi Neema, Daniel T Larson, Efthimios Kaxiras
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