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Updated: Jun 14, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

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从振动光谱预测气味:一个数据驱动的方法

Durgesh Ameta1,2, Laxmidhar Behera1,3, Aniruddha Chakraborty4

  • 1Indian Knowledge System and Mental Health Applications Centre, Indian Institute of Technology, Mandi, 175005, India.

Scientific reports
|September 2, 2024
PubMed
概括

这项研究通过深度学习和振动光谱 (VS) 分析验证了嗅觉的振动理论. 我们的数据驱动方法显著改善了气味分类,证实了气味的化学机制.

关键词:
可解释的人工智能气味预测 气味预测振动光谱 振动光谱

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