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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium ICME Case Studies: Successes and Challenges for Generation, Distribution, and Use of Public/Pre-Existing Materials Datasets
Presentation Title A Quest for Re-using 3D Materials Data
Author(s) Emine Begum Gulsoy, Peter Voorhees
On-Site Speaker (Planned) Emine Begum Gulsoy
Abstract Scope Growing amounts of publicly available materials data ideally defines a new age for materials research. Over the last decade, as a community, we have been actively developing, populating, curating materials data and databases while simultaneously discussing best practices of doing so. This talk will summarize the contributions of the Center for Hierarchical Materials Design to this community-wide effort by discussing the data, databases and resources produced by the Center. In particular, the authors will present and discuss access and use of publicly contributed and available 3D/4D data using methods such as synchrotron tomography, TEM tomography and serial sectioning. This talk aims to also include a personal journey for finding and reusing data towards piloting computational methods on novel research ideas and seeding grant applications; challenges faced and lessons learned will be discussed.
Proceedings Inclusion? Planned:

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Quest for Re-using 3D Materials Data
A Validation Framework for Microstructure-sensitive Fatigue Simulation Models
Added Value and Increased Organization: Capturing Experimental Data Provenance in Materials Commons 2.0
Challenges in Producing, Curating, and Sharing Large Multimodal, Multi-institutional Data Sets for Additive Manufacturing
Data-driven Model Based Comparison of Public Datasets for Online State of Charge Estimation in Lithium-ion Batteries
Filling Data Gaps in 3D Microstructure with Deep Learning
Generating, Sharing, and Using Halide Perovskite Exploratory Synthesis Data to Discover New Materials
Graph Convolutional Neural Networks for Fast, Accurate Prediction of Material Properties for Solid Solution High Entropy Alloys Using Open-source Datasets
Holistic Merging of Experimental and Computational Datasets – A Case Study for Diffusion Coefficients
Materials Innovation and Design Enabled by the Materials Project
Mg Database Project: Mapping Trends and Data Sets of Magnesium and Its Alloys for Improved Mechanical Performance
NOW ON-DEMAND ONLY - Hard Fought Lessons on Open Data and Code Sharing and the Terra Infirma of Ground Truth
The Status of ML Algorithms for Structure-property Relationships Using Matbench as a Test Protocol

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