Zobrazeno 1 - 10
of 50 567
pro vyhledávání: '"WANG, ZHI"'
We present OpenMM-Python-Force, a plugin designed to extend OpenMM's functionality by enabling integration of energy and force calculations from external Python programs via a callback mechanism. During molecular dynamics simulations, data exchange c
Externí odkaz:
http://arxiv.org/abs/2412.18271
3D editing has shown remarkable capability in editing scenes based on various instructions. However, existing methods struggle with achieving intuitive, localized editing, such as selectively making flowers blossom. Drag-style editing has shown excep
Externí odkaz:
http://arxiv.org/abs/2412.13552
Autor:
Wang, Zhi-Yan, Wu, Xiao, Xiong, Xiao, Yang, Chen, Hao, Zhengzhong, Yang, Qi-Fan, Hu, Yaowen, Bo, Fang, Cao, Qi-Tao, Xiao, Yun-Feng
Integrated nonlinear photonics has emerged as a transformative platform, enabling nanoscale nonlinear optical processes with significant implications for sensing, computation, and metrology. Achieving efficient nonlinear frequency conversion in optic
Externí odkaz:
http://arxiv.org/abs/2412.11111
Autor:
Wang, Zhi-Gang
In this work, we study the mass spectrum of the hidden-charm hybrid states with the $J^{PC}=0^{-+}$, $0^{++}$, $0^{--}$, $1^{++}$, $1^{+-}$, $1^{-+}$, $1^{--}$, $2^{-+}$ and $2^{++}$ via the QCD sum rules in a consistent way. We calculate the vacuum
Externí odkaz:
http://arxiv.org/abs/2412.11038
Autor:
Zhang, Weixiang, Xie, Shuzhao, Ren, Chengwei, Xie, Siyi, Tang, Chen, Ge, Shijia, Wang, Mingzi, Wang, Zhi
We propose EVOlutionary Selector (EVOS), an efficient training paradigm for accelerating Implicit Neural Representation (INR). Unlike conventional INR training that feeds all samples through the neural network in each iteration, our approach restrict
Externí odkaz:
http://arxiv.org/abs/2412.10153
Publikováno v:
Quantum Inf. Process.23(2024),401
The Schmidt number characterizes the quantum entanglement of a bipartite mixed state and plays a significant role in certifying entanglement of quantum states. We derive a Schmidt number criterion based on the trace norm of the correlation matrix obt
Externí odkaz:
http://arxiv.org/abs/2412.10074
We propose symmetric power transformation to enhance the capacity of Implicit Neural Representation~(INR) from the perspective of data transformation. Unlike prior work utilizing random permutation or index rearrangement, our method features a revers
Externí odkaz:
http://arxiv.org/abs/2412.09213
As large language models (LLMs) continue to advance, the demand for higher quality and faster processing of long contexts across various applications is growing. KV cache is widely adopted as it stores previously generated key and value tokens, effec
Externí odkaz:
http://arxiv.org/abs/2412.08521
We propose two thermo-spintronic responses of spin-orbit coupled superconductors - the intrinsic thermal Edelstein effect and intrinsic spin Nernst effect - stemming from phase-space and momentum-space Berry curvatures of Bogoliubov quasiparticles. W
Externí odkaz:
http://arxiv.org/abs/2412.08451
Autor:
Xie, Shuzhao, Liu, Jiahang, Zhang, Weixiang, Ge, Shijia, Pan, Sicheng, Tang, Chen, Bai, Yunpeng, Wang, Zhi
Effective compression technology is crucial for 3DGS to adapt to varying storage and transmission conditions. However, existing methods fail to address size constraints while maintaining optimal quality. In this paper, we introduce SizeGS, a framewor
Externí odkaz:
http://arxiv.org/abs/2412.05808