MP20
MP20 (Xie et al., 2022) contains 45,231 metastable crystal structures from the Materials Project (Jain et al., 2013), each with up to 20 atoms and spanning 89 different element types.
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
This task evaluates the ability of generative models to sample valid and realistic crystal structures.
The training dataset, MP20 (Xie et al., 2022), contains 45,231 metastable crystal structures from the Materials Project (Jain et al., 2013), each with up to 20 atoms and spanning 89 different element types.
Following prior work (Xie et al., 2022), we sample 10,000 crystals and compute validity, stability, uniqueness and novelty rates using density functional theory (DFT). Data is generally split following prior work (Xie et al., 2022) to ensure fair comparisons.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
MP20 (Xie et al., 2022) contains 45,231 metastable crystal structures from the Materials Project (Jain et al., 2013), each with up to 20 atoms and spanning 89 different element types.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.