174 citations · 175 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2022
Hardness prediction of age-hardening aluminum alloy based on ensemble learning
Houchen Zuo, Yongquan Jiang, Yan Yang +2
With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum a…
cond-mat.mtrl-sci2021★ 1 cited
Prediction of properties of metal alloy materials based on machine learning
Houchen Zuo, Yongquan Jiang, Yan Yang +1
Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate,…
cs.CY2020★ 174 cited
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson, Jieru Hu, Joshua Romoff +3
Accurate reporting of energy and carbon usage is essential for understanding the potential climate impacts of machine learning research. We introduce a framework that makes this ea…