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cond-mat.mtrl-sci2024
Computational toolkit for predicting thickness of 2D materials using machine learning and autogenerated dataset by large language model
Chinedu Ekuma
The thickness of 2D materials not only plays a crucial role in determining the performance of nanoelectronic and optoelectronic devices but also introduces complexities in predicti…
cond-mat.mtrl-sci2024★ 1 cited
Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property Prediction
Chinedu Ekuma
The advent of natural language processing and large language models (LLMs) has revolutionized the extraction of data from unstructured scholarly papers. However, ensuring data trus…