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资源简介：
Data of TACE-OAM-L for Matbench Discovery
应用场景：
创建时间：
2026-04-09
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Data from Prediction for Mechanical Properties of Lean Duplex Stainless Steel by Using Random Forest
Lean duplex stainless steel (LDSS), which is expected to apply to infrastructures, exhibits rounded shape of stress-strain curve. For this reason, a constitutive equation which is able to accurately e
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Materials Data on HgTe5H36C12N3(OF5)5 by Materials Project
(N(CH3)4)3HgTe5(OF5)5 crystallizes in the monoclinic Cc space group. The structure is zero-dimensional and consists of twelve tetramethylammonium molecules and four HgTe5(OF5)5 clusters. In each HgTe5
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GRACE-2L-OAM-L: WBM relaxed structures
WBM structures relaxed with GRACE-2L-OAM-L model for Matbench Discovery test
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Predicting the Structure Stability of Layered Heteroanionic Materials Exhibiting Anion Order
We report a workflow for heteroanionic materials discovery using Pauling’s second rule to filter for and predict new candidate materials for synthesis with reduced computational overhead. Using oxyflu
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Prediction of Mechanical and Functional Features of Aged Rubber Composites Based on BR/SBR; Structure-Properties Correlation
In this study, the structure-properties relationship between the thermal factors of BR/SBR blends [normalize factor h BR 100 hBR 100 − hBR x, and the maximum peak temperature difference of th
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