activity
20232026
most cited"One defect, one potential" strategy for accurate machine learning prediction of defect phonons

2 citations · 2 across the 14 of their papers we have counts for

collaborators

14 papers

cond-mat.mtrl-sci2026

Small-supercell and Small-dataset Training Strategy of Machine Learning Interatomic Potentials for Point Defects

Zhenxing Dai, Mingjue Ni, Xinpeng Li +3

Machine learning interatomic potentials (MLIPs) can treat large-scale material systems with near first-principles accuracy and have been widely used to accelerate point-defect simu…

cond-mat.mtrl-sci2026

Carrier Capture at Defects from Finite-Temperature Lattice Dynamics

Menglin Huang, Shanshan Wang, Shiyou Chen

Defect-assisted carrier capture is commonly described within nonradiative multiphonon (NMP) theory using normal modes of the equilibrium defect structure. This description becomes…

cond-mat.mtrl-sci2026

Predicting large-supercell defect formation energies from machine-learning charge density models trained on small supercells

Junjie Zhou, Menglin Huang, Shiyou Chen

First-principles defect calculations are often limited by the cost of the large supercells required to suppress image interactions. Machine-learning interatomic potentials (MLIPs)…

cond-mat.mtrl-sci2026

Nonradiative Multiphonon Model of Deep-Level Transient Spectroscopy: Beyond Henry-Lang Model

Menglin Huang, Shanshan Wang, Junjie Zhou +2

Deep-level transient spectroscopy (DLTS) is a key experimental method for defect characterization, yet its analysis remains controversial, and the two widely used models developed…

cond-mat.mtrl-sci2026

A wrong ground-state structure of HfO predicted by machine-learning interatomic potentials based on the PBE functional

Shuqi Tang, Jinchen Wei, Kang Wang +4

Machine-learning interatomic potentials (MLIPs) have become powerful tools for material simulations. Many MLIPs are trained based on density functional theory (DFT) datasets genera…

cond-mat.mtrl-sci2026

Substitutional platinum as an efficient nonradiative recombination center in silicon

Zhenxing Dai, Menglin Huang, Xin-Gao Gong +1

Platinum (Pt) is widely used for carrier-lifetime control in silicon power devices, yet the microscopic nonradiative recombination mechanism of the substitutional platinum ($\text{…

cond-mat.mtrl-sci2026

Machine learning Hamiltonian enables scalable and accurate defect calculations: The case of oxygen vacancies in amorphous SiO

Zhenxing Dai, Zhong Yang, Mingjue Ni +4

Point defects critically influence the properties of materials and devices, yet density functional theory (DFT) remains computationally demanding for defect supercell calculations.…

cond-mat.mtrl-sci2026

RASP: Reliability ab initio simulation package of MOSFETs based on all-state model

Xinjing Guo, Menglin Huang, Shiyou Chen

As transistors continue to scale down, device reliability has become a critical concern. In order to accurately simulate defect-induced reliability degradation in MOSFET based logi…

cond-mat.mtrl-sci2026

Symmetry Adapted Analysis of Screw Dislocation: Electronic Structure and Carrier Recombination Mechanisms in GaN

Yuncheng Xie, Haozhe Shi, Menglin Huang +3

As fundamental one-dimensional defects, screw dislocations profoundly reshape the energy landscape and carrier dynamics of crystalline materials. By restoring the exact algebra of…

cond-mat.mtrl-sci2025

Electroluminescence of NV Color Centers in Diamond p-i-n Diodes mediated by Charge-state Dynamics

Ruirong Bai, Menglin Huang, Shanshan Wang +2

As the electroluminescence (EL) of NV color centers in diamond has been realized in p-i-n diodes,the underlying mechanism remains a puzzle for longer than a decade. In this study,u…

cond-mat.mtrl-sci2025★ 2 cited

"One defect, one potential" strategy for accurate machine learning prediction of defect phonons

Junjie Zhou, Xinpeng Li, Menglin Huang +1

Atomic vibrations play a critical role in phonon-assisted electron transitions at defects in solids. However, accurate phonon calculations in defect systems are often hindered by t…

cond-mat.mtrl-sci2025

Carrier Emission and Capture Competition mediated A(n)BC Recombination Model in Semiconductors with Multi-Level Defects

Shanshan Wang, Menglin Huang, Su-Huai Wei +2

The ABC model has been widely used to describe the carrier recombination rate, in which the rate of non-radiative recombination assisted by deep-level defects is assumed to depend…

cond-mat.mtrl-sci2025

Defect Phonon Renormalization during Nonradiative Multiphonon Transitions in Semiconductors

Junjie Zhou, Shanshan Wang, Menglin Huang +2

As a typical nonradiative multiphonon transition in semiconductors, carrier capture at defects is critical to the performance of semiconductor devices. Its transition rate is usual…

cond-mat.mtrl-sci2023

Metastability and anharmonicity enhance defect-assisted nonradiative recombination in low-symmetry semiconductors

Menglin Huang, Shanshan Wang, Shiyou Chen

Strong nonradiative recombination has been observed in quasi-one-dimensional antimony selenide, which runs counter to the simple intuition that claims high defect tolerance exists…