1 citations · 1 across the 2 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
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…