Ames Lab, Texas A&M team develop AI tool
The date of：
2022-03-21
viewed:
0
Ames Lab, Texas A&M team develop AI tool for discovery and prediction of new rare-earth compounds
source:Green Car CongressResearchers from Ames Laboratory and Texas A&M University have trained a machine-learning (ML) model to assess the stability of new rare-earth compounds. The framework they developed builds on current state-of-the-art methods for experimenting with compounds and understanding chemical instabilities. A paper on their work is published in Acta Materialia.The approach is based on machine learning (ML), a form of artificial intelligence (AI), which is driven by computer algorithms that improve through data usage and experience. Researchers used the upgraded Ames Laboratory Rare Earth database (RIC 2.0) and high-throughput density-functional theory (DFT) to build the foundation for their ML model.High-throughput screening is a computational scheme that allows a researcher to test hundreds of models quickly. DFT is a quantum mechanical method used to investigate thermodynamic and electronic properties of many body systems. Based on this collection of information, the developed ML model uses regression learning to assess phase stability of compounds.Singh explained that the material analysis is based on a discrete feedback loop in which the AI/ML model is updated using new DFT database based on real-time structural and phase information obtained from experiments. This process ensures that information is carried from one step to the next and reduces the chance of making mistakes.Yaroslav Mudryk, the project supervisor, said that the framework was designed to explore rare earth compounds because of their technological importance, but its application is not limited to rare-earths research. The same approach can be used to train an ML model to predict magnetic properties of compounds, process controls for transformative manufacturing, and optimize mechanical behaviors.Mudryk emphasized that this work is just the beginning. The team is exploring the full potential of this method, but they are optimistic that there will be a wide range of applications for the framework in the future.This work was supported by Laboratory Directed Research and Development Program (LDRD) program at Ames Laboratory.
Hot News
/
Related to recommend
2025
-
06
-
05
Click on the number of times:
0
Structural Transformations in Nickel-Doped Lanthanum-Based Electrocatalyst for Enhanced Oxygen Evolution Reaction 来源：ACS PublicationsMetal oxides are among the most promising electrocatalysts for...
2025
-
06
-
04
Click on the number of times:
0
Optimized Flux Single-Crystal Growth of the Quantum Spin Liquid Candidate NdTa7O19 and Other Rare-Earth Heptatantalates, ErTa7O19 and GdTa7O19 来源：ACS PublicationsSingle crystals are essential for...
2025
-
06
-
03
Click on the number of times:
0
Crystal Growth of Quaternary Rare Earth Selenosilicates by Using the Flux-Assisted Boron Chalcogen Mixture Method: Investigation of Their Magnetic and Optical Properties来源：ACS PublicationsA series of ...
2025
-
05
-
30
Click on the number of times:
2
Crown Ethers in the Group and Individual Separation of Rare-Earth Elements through Solvent Extraction: Interactions, Thermodynamics, and Applications Rare-earth elements (REEs) have a pivotal rol...