Extracting\nThin Film Structures of Energy Materials\nUsing Transformers

Neutron-Transformer Reflectometry Advanced Computation\nEngine (<i>N-TRACE</i>), a neural network model using a\ntransformer architecture,\nis introduced for neutron reflectometry data analysis. It offers fast,\naccurate initial parameter estimations and efficient refinements,\nimproving efficiency and precision for real-time data analysis of\nlithium-mediated nitrogen reduction for electrochemical ammonia synthesis,\nwith relevance to other chemical transformations and batteries. Despite\nlimitations in generalizing across systems, it shows promises for\nthe use of transformers as the basis for models that could accelerate\ntraditional approaches to modeling reflectometry data.

Publication Details

Journal
Figshare
Published
2024-11-02
DOI
https://doi.org/10.1021/acsphyschemau.4c00054.s001
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
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Extracting\nThin Film Structures of Energy Materials\nUsing Transformers

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Ammonia Synthesis and Nitrogen Reduction
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Extracting\nThin Film Structures of Energy Materials\nUsing Transformers

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Abstract

Neutron-Transformer Reflectometry Advanced Computation\nEngine (<i>N-TRACE</i>), a neural network model using a\ntransformer architecture,\nis introduced for neutron reflectometry data analysis. It offers fast,\naccurate initial parameter estimations and efficient refinements,\nimproving efficiency and precision for real-time data analysis of\nlithium-mediated nitrogen reduction for electrochemical ammonia synthesis,\nwith relevance to other chemical transformations and batteries. Despite\nlimitations in generalizing across systems, it shows promises for\nthe use of transformers as the basis for models that could accelerate\ntraditional approaches to modeling reflectometry data.

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Ammonia Synthesis and Nitrogen Reduction
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Extracting\nThin Film Structures of Energy Materials\nUsing Transformers · Figshare (2024) | TGRS Research Map | TGRS