Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shen, Lin"'
Autor:
Yuan, Mingze, Bao, Peng, Yuan, Jiajia, Shen, Yunhao, Chen, Zifan, Xie, Yi, Zhao, Jie, Chen, Yang, Zhang, Li, Shen, Lin, Dong, Bin
With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to enhance var
Externí odkaz:
http://arxiv.org/abs/2311.01918
The mixed quantum-classical dynamical simulation is essential to study nonadiabatic phenomena in photophysics and photochemistry. In recent years, many machine learning models have been developed to accelerate the time evolution of the nuclear subsys
Externí odkaz:
http://arxiv.org/abs/2206.13780
BESIII is a currently running tau-charm factory with the largest samples of on threshold charm meson pairs, directly produced charmonia and some other unique datasets at BEPCII collider. Machine learning techniques have been employed to improve the p
Externí odkaz:
http://arxiv.org/abs/1811.06131
Geometric and electronic properties of folded graphene nanoribbons (FGNRs) are investigated by first-principles calculations. These properties are mainly dominated by the competition or cooperation among stacking, curvature and edge effects. For the
Externí odkaz:
http://arxiv.org/abs/1509.03941
Hydrogenated silicenes possess peculiar properties owing to the strong H-Si bonds, as revealed by an investigation using first principles calculations. The various charge distributions, bond lengths, energy bands, and densities of states strongly dep
Externí odkaz:
http://arxiv.org/abs/1502.06059
Graphene ripples possess peculiar essential properties owing to the strong chemical bonds, as an investigation using first principle calculations clearly revealed. Various charge distributions, bond lengths, energy bands, and densities of states stro
Externí odkaz:
http://arxiv.org/abs/1501.01590