2 citations · 2 across the 1 of their papers we have counts for
4 papers
The atlas of ferroicity in two dimensional MGeX3 family: room-temperature ferromagnetic half metals and unexpected ferroelectricity and ferroelasticity
Kuan-Rong Hao, Xing-Yu Ma, Hou-Yi Lyu +3
Two-dimensional (2D) ferromagnetic and ferroelectric materials attract unprecedented attention due to the spontaneous-symmetry-breaking induced novel properties and multifarious po…
High-Efficient ab initio Bayesian Active Learning Method and Applications in Prediction of Two-dimensional Functional Materials
Xing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao +3
Beyond the conventional trial-and-error method, machine learning offers a great opportunity to accelerate the discovery of functional materials, but still often suffers from diffic…
Voting Data-Driven Regression Learning for Discovery of Functional Materials and Applications to Two-Dimensional Ferroelectric Materials
Xing-Yu Ma, Hou-Yi Lyu, Xue-Juan Dong +4
Regression machine learning is widely applied to predict various materials. However, insufficient materials data usually leads to a poor performance. Here, we develop a new voting…
Large Family of Two-Dimensional Ferroelectric Metals Discovered via Machine Learning
Xing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao +4
Ferroelectricity and metallicity are usually believed not to coexist because conducting electrons would screen out static internal electric fields. In 1965, Anderson and Blount pro…