Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Zhan, Tong"'
Hagedorn wavepackets have been used with local harmonic approximation to partially capture the anharmonic effects on single vibronic level (SVL) spectra in model potentials. To make the Hagedorn approach practical for realistic anharmonic polyatomic
Externí odkaz:
http://arxiv.org/abs/2409.01862
Hagedorn wavepacket dynamics yields exact single vibronic level (SVL) fluorescence spectra from any initial vibrational level in displaced, squeezed, and Duschinsky-rotated global harmonic models. Real molecules, however, have anharmonic potential en
Externí odkaz:
http://arxiv.org/abs/2408.11991
With the rapid development of natural language processing (NLP) technology, large-scale pre-trained language models such as GPT-3 have become a popular research object in NLP field. This paper aims to explore sentiment analysis optimization technique
Externí odkaz:
http://arxiv.org/abs/2405.09770
Autor:
Vaníček, Jiří J. L., Zhang, Zhan Tong
Hagedorn functions are carefully constructed generalizations of Hermite functions to the setting of many-dimensional squeezed and coupled harmonic systems. Wavepackets formed by superpositions of Hagedorn functions have been successfully used to solv
Externí odkaz:
http://arxiv.org/abs/2405.07880
The Human Genome Project has led to an exponential increase in data related to the sequence, structure, and function of biomolecules. Bioinformatics is an interdisciplinary research field that primarily uses computational methods to analyze large amo
Externí odkaz:
http://arxiv.org/abs/2405.06655
The integration of LLMOps into personalized recommendation systems marks a significant advancement in managing LLM-driven applications. This innovation presents both opportunities and challenges for enterprises, requiring specialized teams to navigat
Externí odkaz:
http://arxiv.org/abs/2404.00903
This paper explores the application of deep learning techniques, particularly focusing on BERT models, in sentiment analysis. It begins by introducing the fundamental concept of sentiment analysis and how deep learning methods are utilized in this do
Externí odkaz:
http://arxiv.org/abs/2403.08217
Autor:
Zhang, Zhan Tong, Vaníček, Jiří J. L.
Single vibronic level (SVL) fluorescence spectroscopy contributes to the understanding of molecular vibrational structures and relaxation processes. Here, we present a practical method for computing SVL fluorescence spectra of polyatomic molecules fr
Externí odkaz:
http://arxiv.org/abs/2403.00702
Autor:
Zhang, Zhan Tong, Vaníček, Jiří J. L.
Publikováno v:
J. Chem. Phys. 161, 111101 (2024)
In single vibronic level (SVL) fluorescence experiments, the electronically excited initial state is also excited in one or several vibrational modes. Whereas computing all contributing Franck-Condon factors individually becomes impractical in large
Externí odkaz:
http://arxiv.org/abs/2403.00577
Autor:
Zhang, Zhan Tong, Vaníček, Jiří J. L.
Publikováno v:
J. Chem. Phys. 160, 084103 (2024)
We present a numerically exact approach for evaluating vibrationally resolved electronic spectra at finite temperatures using the coherence thermofield dynamics. In this method, which avoids implementing an algorithm for solving the von Neumann equat
Externí odkaz:
http://arxiv.org/abs/2311.10004