Minglang Hu Source Confirmed

OverviewAI-generated summary

Minglang Hu's research focuses on the theoretical investigation of novel materials with desirable ferroic and piezoelectric properties. His work has explored intrinsic ferromagnetism in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="normal">V</mml:mi><mml:mi>X</mml:mi></mml:math> monolayers <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>(</mml:mo><mml:mi>X</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">P</mml:mi><mml:mo>,</mml:mo><mml:mo> </mml:mo><mml:mi>As</mml:mi><mml:mo>)</mml:mo></mml:math>, identifying high Curie temperatures and strong anisotropy. He has also studied the potential of BC6N as a sulfur host material for lithium-sulfur batteries. Hu has published on volume-matched ferroelectric and piezoelectric superlattices, including ZnO/MgO and LaN/REN systems, utilizing first-principles calculations. His research also extends to strain-induced ferroelectricity and piezoelectricity in centrosymmetric binary oxides, and the ferroic properties and piezoelectric response of Mg2XN3 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>(</mml:mo><mml:mi>X</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">V</mml:mi><mml:mo>,</mml:mo><mml:mi>Cr</mml:mi><mml:mo>)</mml:mo></mml:math> compounds. Additionally, Hu has contributed to research on physics-based features for machine learning in crystal property recognition.

Metrics

• h-index: 6
• Publications: 11
• Citations: 131