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From the 1 of 16 papers with an AI index.

most citedProjected shell model description of nuclear level density: Collective, pair-breaking, and multiquasiparticle regimes in even-even nuclei

11 citations

16 papers

nucl-th202611 cited

Projected shell model description of nuclear level density: Collective, pair-breaking, and multiquasiparticle regimes in even-even nuclei

Jiaqi Wang, Saumi Dutta, Long-Jun Wang +1

There is overwhelmingly experimental evidence indicating that excited nuclear states are dominated by quasiparticle (qp) excitations, which form many-body configurations with broke…

nucl-th20263 cited

Nuclear level density studied in odd-mass nuclei in the framework of the projected shell model

Jiaqi Wang, Saumi Dutta, Cui-Juan Lv +2

In a recent article [Phys. Rev. C 108, 034309 (2023)], we proposed a projected shell model method for the calculation of nuclear level density (NLD) in deformed even-even nuclei. T…

physics.soc-ph2026

Coordinated incentives in AI-generated misinformation governance

Qin Li, Gui Zhang, Minyu Feng +2

With the rapid diffusion of AI-generated content, AI-driven misinformation is becoming increasingly pervasive and difficult to govern, undermining information credibility and socia…

math.OC20265 cited

Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates

Jinhui Hu, Guo Chen, Huaqing Li +3

The paper proposes a decentralized stochastic proximal‑gradient algorithm that remains robust to Byzantine (malicious or faulty) agents, and enhances its speed using variance‑reduc…

cs.IR2026

Implicit Fine-tuning via Context Engineering: A Curriculum Learning Framework for Multimodal Entity Alignment

Yunpeng Hong, Chenyang Bu, Di Wu +2

Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different modalities. While existing methods enhance MMEA performance through black-box context engin…

cs.LG2026

A Novel Approach to Temporal QoS Estimation via Extended Kalman Filter-Incorporated Latent Feature Analysis

Ye Yuan, Song Wang, Hongxun Zhou +2

Predicting temporal Quality of Service (QoS) data is critical for optimizing network services and rationalizing resource allocation in cloud computing and service-oriented systems.…