Extracting thin film structures of energy materials using transformers
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Abstract (arXiv)
Neutron-Transformer Reflectometry and Advanced Computation Engine (N-TRACE ), a neural network model using transformer architecture, is introduced for neutron reflectometry data analysis. It offers fast, accurate initial parameter estimations and efficient refinements, improving efficiency and precision for real-time data analysis of lithium-mediated nitrogen reduction for electrochemical ammonia synthesis, with relevance to other chemical transformations and batteries. Despite limitations in generalizing across systems, it shows promises for the use of transformers as the basis for models that could replace trial-and-error approaches to modeling reflectometry data.
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References · 6
- 2017Attention Is All You Needcited by 60,361
- 2022Scalable Diffusion Models with Transformerscited by 6,054
- 2019Optuna: A Next-generation Hyperparameter Optimization Frameworkcited by 2,501
- 2018Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Networkcited by 420
- 2023Talk like a Graph: Encoding Graphs for Large Language Modelscited by 176
- 2022Towards Understanding Mixture of Experts in Deep Learningcited by 52
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