steels

Figshare2019-09-03 更新2026-04-29 收录

材料性能预测

计算材料学

数据链接：

https://figshare.com/articles/dataset/steels/9755456 数据链接链接失效反馈

官方服务：

资源简介：

Matbench v0.1 dataset for predicting steel yield strengths from chemical composition alone. Retrieved from Citrine informatics. Deduplicated.

创建时间：

2019-09-03

Materials Data on ZrSiO2 by Materials Project

晶体结构分析

计算材料学

ZrSiO2 crystallizes in the tetragonal I4_1/amd space group. The structure is three-dimensional. Zr is bonded to six equivalent O atoms to form distorted edge-sharing ZrO6 octahedra. There are two shor

DataCite Commons2021-02-04 更新60

Materials Data on Mn6O11F by Materials Project

计算材料学

化学结构预测

Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For

DataCite Commons2021-02-04 更新40

Neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions

材料表面重构预测

计算材料学

The archive "dataset.tar.gz" contains trained models (neural networks), training-, validation- and test-data and selected structures in POSCAR format, obtained in the neural-network-backed evolutionar

NIAID Data Ecosystem30

The role of molybdenum in suppressing cold dwell fatigue in titanium alloys

钛合金疲劳抑制

计算材料学

This dataset contains supporting data for the publication entitled "The role of molybdenum in suppressing cold dwell fatigue in titanium alloys" by the above authors to be published in Proceedings of

Figshare2017-07-16 更新40

Materials Data on Cu7Si2 by Materials Project

计算材料学

晶体结构解析

Cu7Si2 crystallizes in the trigonal P-3m1 space group. The structure is three-dimensional. there are four inequivalent Cu+1.14+ sites. In the first Cu+1.14+ site, Cu+1.14+ is bonded in a 4-coordinate

DataCite Commons2021-02-05 更新40

steels

资源简介：

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