6 papers · 1 filter
Multi-modal machine learning analysis of GaSe molecular beam epitaxy growth conditions
Mingyu Yu, Isaiah A. Moses, Wesley F. Reinhart +1
Autonomous synthesis platforms integrating machine learning with in situ diagnostics have the potential to revolutionize thin-film growth by enabling real-time process optimization…
Machine Learning Guided Polymorph Selection in Molecular Beam Epitaxy of In2Se3
Ryan Trice, Mingyu Yu, Eric Welp +3
Indium selenide (In2Se3), a layered chalcogenide with multiple polymorphs, is a promising material for optoelectronic and ferroelectric applications. However, achieving polymorph-p…
Examining the Spin Structure of Altermagnetic Candidate MnTe Grown with Near Ideal Stoichiometry
Qihua Zhang, Christopher J. Jensen, Alexander J. Grutter +11
Altermagnets are a recently-discovered class of materials with magnetic ordering that have a zero net magnetization and a momentum-dependent spin splitting in their band structure,…
Review of Nanolayered Post-transition Metal Monochalcogenides: Synthesis, Properties, and Applications
Mingyu Yu, Maria Hilse, Qihua Zhang +3
Nanolayered post-transition metal monochalcogenides (PTMMCs) stand out as promising advanced two-dimensional (2D) materials. Beyond inheriting the general advantages associated wit…
Quasi-van der Waals Epitaxial Growth of γ'-GaSe Thin Films on GaAs(111)B Substrates
Mingyu Yu, Sahani Amaya Iddawela, Jiayang Wang +5
GaSe is an important member of the post-transition metal chalcogenide family and is an emerging two-dimensional (2D) semiconductor material. Because it is a van der Waals material,…
Treatment and Aging Studies of GaAs(111)B Substrates for van der Waals Chalcogenide Film Growth
Mingyu Yu, Jiayang Wang, Sahani A. Iddawela +5
GaAs(111)B is a semiconductor substrate widely used in research and commercial fields due to its low cost, mature synthesis technology, and excellent properties for manufacturing e…