Qimin Yan

Northeastern University — United States

Physics and Astronomy · Physical Sciences

41h-index5.8kcitations157works3.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

GaN-based semiconductor devices and materials(32), 2D Materials and Applications(27), Machine Learning in Materials Science(24), Graphene research and applications(22), Semiconductor Quantum Structures and Devices(18)

Publications157 total

Correction: Polyoxometalates hydrogels derived porous conductive Pt@Mo2C carbon aerogels as self-supporting electrocatalysts for enhancing alkaline hydrogen evolution reaction
Rare Metals·2025Open Access
Crystal hypergraph convolutional networks
npj Computational Materials·2025Open Access
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
ACS Nano·2025Open Access
Coherent Spins in van der Waals Semiconductor GeS<sub>2</sub> at Ambient Conditions
Nano Letters·2025· 3 citedOpen Access
Microscopic Investigations of Point Defect Interactions in WS<sub>2</sub> Monolayers
ACS Nano·2025
Polyoxometalates hydrogels derived porous conductive Pt@Mo2C carbon aerogels as self-supporting electrocatalysts for enhancing alkaline hydrogen evolution reaction
Rare Metals·2025· 1 cited
Ideal Topological Flat Bands in Two-dimensional Moiré Heterostructures with Type-II Band Alignment
ArXiv.org·2025Open Access
Dataset of tensorial optical and transport properties of materials from the Wannier function method
Scientific Data·2025· 1 citedOpen Access
Balancing Acts: Navigating Power, Care, and Complexity in Workplace Relationships
Academy of Management Proceedings·2025
Learning from the Field: Psychological Safety in Frontline Occupations in High-Reliability Contexts
Academy of Management Proceedings·2025
A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials
arXiv (Cornell University)·2025· 1 citedOpen Access
Bridging deep learning force fields and electronic structures with a physics-informed approach
npj Computational Materials·2025· 4 citedOpen Access
Accurate Prediction of Tensorial Spectra Using Equivariant Graph Neural Network
arXiv (Cornell University)·2025Open Access
Database of Tensorial Optical and Transport Properties of Materials From the Wannier Function Method
arXiv (Cornell University)·2025Open Access
Oxygen impurities in AlN and their impact on optical absorption
Applied Physics Letters·2025· 11 citedOpen Access
Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks
Chemistry of Materials·2025· 11 citedOpen Access
Chiral Molecular Magnet Superstructures with Light Control
Nano Letters·2025· 2 cited
Biocompatible Lyotropic Nanocarriers for Improved Delivery of Ascorbyl Tetraisopalmitate in Skincare
Langmuir·2025
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach
arXiv (Cornell University)·2024· 1 citedOpen Access
Confinement of excited states in two-dimensional, in-plane, quantum heterostructures
Nature Communications·2024· 20 citedOpen Access
page 1 of 8Next →

Frequent Co-authors

Chris G. Van de Walle(21), Wenhui Duan(7), Matthias Scheffler(7), Jinbo Pan(6), John M. Gregoire(5), Jeffrey B. Neaton(5), Anderson Janotti(5), Yuji Zhao(5), Kenji Fujito(5), Steven P. DenBaars(5), Shuji Nakamura(5), Daniel Feezell(5), Patrick Rinke(5), Bing Huang(4), Jian Wu(4), Lan Zhou(4), Aniketa Shinde(4), Kristin A. Persson(4), Chia‐Yen Huang(4), James S. Speck(4)