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Profil bibliographique

Mingzhe Liu

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

455Publications signalées
7096Citations signalées
4Affiliations récentes

Les institutions déclarées

Les domaines associés

Stochastic processes and statistical mechanicsTheoretical and Computational PhysicsBlockchain Technology Applications and SecurityNuclear Physics and ApplicationsLegal and Regulatory Analysis

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Molecular chiral discrimination through symmetry-breaking spin dynamics

Tianyu Xie, Yucheng Hao, Mingzhe Liu, Mengqi Wang et autres

Molecular chirality plays a crucial role in physics, chemistry, life sciences and pharmacology. Nowadays, the chiral discrimination and control at the single-molecule level is urgently needed to reveal the origin of the chirality-relevant phenomena by recovering the information disturbed by the ensemble …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Molecular chiral discrimination through symmetry-breaking spin dynamics

Tianyu Xie, Yucheng Hao, Mingzhe Liu, Mengqi Wang et autres

Molecular chirality plays a crucial role in physics, chemistry, life sciences and pharmacology. Nowadays, the chiral discrimination and control at the single-molecule level is urgently needed to reveal the origin of the chirality-relevant phenomena by recovering the information disturbed by the ensemble …

us, cn (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Grain boundary energy affected initial oxidation on Ni-based superalloy revealed by in situ environmental TEM

Mingzhe Liu, Zhanxin Wang, Yunsong Zhao, Yanhui Chen et autres

Abstract Inconel 718 Ni-based polycrystalline superalloys exhibit excellent mechanical properties, while the type and nature of the grain boundaries are important for their corrosive properties. The effect of grain boundaries on initial oxidation is decisive for degradation, and the conventional method has …

cn (code pays fourni par la source)

9 citations npj Materials Degradation
Accès ouvert 2025 article OpenAlex

CICRL-FLM: counterfactual inference causal representation learning network for fine-grained landslide mapping from satellite remote sensing images

Chengqiang Zhao, Shijie Chen, Jiashu Zhang, Mingzhe Liu

Landslide mapping from satellite remote sensing images is of paramount importance for both risk assessment and disaster response. When performing landslide mapping in diverse and complex remote sensing scenarios, current deep-learning-based methods have a limited global semantic information modeling ability and may …

us, cn, gb, by (code pays fourni par la source)

2 citations GIScience & Remote Sensing
Accès ouvert 2025 preprint OpenAlex

In situ Evidence of 5-minute Oscillations from Parker Solar Probe

Zesen Huang, Marco Velli, Olga Panasenco, Richard J. Morton et autres

The Sun's surface vibrates in characteristic 5-minute oscillations, known as p-modes, generated by sound waves trapped within the convection zone. Although these oscillations have long been hypothesized to reach into the solar wind, direct in situ evidence has remained elusive, even during …

0 citations arXiv (Cornell University)
2025 article OpenAlex

Scalable mechanochemical synthesis of bifunctional MnZn ferrite/expanded graphite composites for efficient microwave absorption and corrosion resistance

Yangguang Zhang, Shicheng C. Wei, Bo Wang, Mingzhe Liu et autres

Short-process and high-volume preparation of bifunctional manganese-zinc ferrite/expanded graphite composite absorbers for efficient microwave absorption and corrosion resistance via a high-temperature mechanochemical method.

4 citations Journal of Materials Chemistry C
Accès ouvert 2025 article OpenAlex

RCNNshift: Moving Object Tracking with Kernel and Training-Free Spiking Neural Network

Haoran Liu, Peng Li, Mingzhe Liu

Moving object tracking is essential in computer vision applications such as autonomous navigation and surveillance. Traditional kernel-based methods like Meanshift and Camshift are computationally efficient but often falter with complex motions and occlusions. Deep learning approaches improve performance but require significant computational …

cn (code pays fourni par la source)

0 citations ACM Transactions on Multimedia Computing Communications and Applications

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