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Data set for predicting energy density and power density using biomass feedstock characteristics
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Materials Data on La2GaCoO6 by Materials Project
La2CoGaO6 crystallizes in the trigonal R-3 space group. The structure is three-dimensional. La3+ is bonded in a 3-coordinate geometry to nine equivalent O2- atoms. There are a spread of La–O bond dist
DataCite Commons2021-02-04 更新80
Materials Data on Tb2(MoO4)3 by Materials Project
Tb2(MoO4)3 crystallizes in the tetragonal P-42_1m space group. The structure is three-dimensional. Tb3+ is bonded to seven O2- atoms to form distorted TbO7 hexagonal pyramids that share corners with s
DataCite Commons2021-02-04 更新50
Data for: Intelligent optimization of concrete mix proportion based on big data
The data set includes the raw data of mix proportion test and the fitting prediction results of support vector machine.
Mendeley Data40
Structure-property maps with kernel principal covariates regression
Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised or unsupervised mach
DataCite Commons2026-03-12 更新60
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
Figshare2019-09-17 更新50
