fig3

Figure 3. (A) Composition of the GPU materials science training corpus. The horizontal bar chart shows the domain topic distribution of the QA and MCQ data; (B) The layered ring chart summarizes the full 44,629-sample corpus by data type. CNT: carbon nanotube; ML: machine learning; GPU: graphics processing unit; TIM: thermal interface material; QA: question-answer; MCQs: multiple-choice questions.