ML for mechanical behavior of PLA/Brass composites

Mendeley Data2026-04-18 收录

材料性能预测

增材制造材料设计

数据链接：

https://data.mendeley.com/datasets/hkxb4tcwy6 数据链接链接失效反馈

官方服务：

资源简介：

Machine learning algorithms based approach on prediction of mechanical behavior of PLA/Brass composites manufactured by additive manufacturing

创建时间：

2024-06-24

Materials Data on CaSO6 by Materials Project

晶体结构解析

材料性能预测

CaSO4O2 crystallizes in the monoclinic P2_1/c space group. The structure is two-dimensional and consists of four hydrogen peroxide molecules and two CaSO4 sheets oriented in the (0, 1, 0) direction. I

DataCite Commons2021-02-04 更新110

Predicting the Structure Stability of Layered Heteroanionic Materials Exhibiting Anion Order

材料性能预测

异阴离子材料设计

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

Figshare2019-09-17 更新50

Prediction of Mechanical and Functional Features of Aged Rubber Composites Based on BR/SBR; Structure-Properties Correlation

橡胶老化时间预测

材料性能预测

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

NIAID Data Ecosystem30

Data from Prediction for Mechanical Properties of Lean Duplex Stainless Steel by Using Random Forest

材料性能预测

材料机器学习

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

NIAID Data Ecosystem70

Database on ANN-Based Performance Evaluation of Composite Recycled Mortar

材料性能预测

人工神经网络

The recycling of construction waste is crucial for environmental preservation and sustainable progress. By integrating construction waste into mortar production, substantial reductions in carbon emiss

科学数据银行2025-07-11 更新50

ML for mechanical behavior of PLA/Brass composites

资源简介：

相关数据集