2025_Bruns_MaterDes_CrackSuppression

B2FIND2026-04-29 收录

材料裂纹抑制

材料设计优化

数据链接：

https://b2find.eudat.eu/dataset/f72653c7-241f-5f66-ad29-8a5da926b8eb 数据链接链接失效反馈

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资源简介：

Research and raw data to publication: https://doi.org/10.1016/j.matdes.2025.113726

A global dataset of SCM-blended concrete and its properties

掺合料混凝土性能

材料设计优化

This dataset comprises 1456 SCM-blended concrete mix designs, incorporating fly ash, silica fume, and ground granulated blast furnace slag, compiled from 136 publications across 27 countries. The data

NIAID Data Ecosystem290

2025_Bruns_MaterDes_CrackSuppression

材料裂纹抑制

材料研究

Research and raw data to publication: https://doi.org/10.1016/j.matdes.2025.113726

DataCite Commons2025-02-14 更新100

Manganese steel machine learning

材料设计优化

材料信息学

We have collected data on the composition, treatment process and properties of Mn steel, and proposed a material design model through machine learning, which is currently being submitted.

Mendeley Data40

JARVIS_MEGNet2

材料性能预测

材料设计优化

The JARVIS-MEGNet2 dataset is part of the joint automated repository for various integrated simulations (JARVIS) database. This subset contains 133K materials with formation energy from the Materials

DataCite Commons2024-03-28 更新280

Million-Fold Electrical Conductivity Enhancement in Fe2(DEBDC) versus Mn2(DEBDC) (E = S, O)

金属有机框架电化学

材料设计优化

Reaction of FeCl2 and H4DSBDC (2,5-disulfhydrylbenzene-1,4-dicarboxylic acid) leads to the formation of Fe2(DSBDC), an analogue of M2(DOBDC) (MOF-74, DOBDC4– = 2,5-dihydroxybenzene-1,4-dicarbox

Figshare2015-12-17 更新50

2025_Bruns_MaterDes_CrackSuppression

资源简介：

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