Robotics & Machine Learning Daily News2024,Issue(Nov.19) :89-89.

Rice University Reports Findings in Machine Learning (A Bond-Based Machine Learn ing Model for Molecular Polarizabilities and A Priori Raman Spectra)

赖斯大学报告了机器学习(基于键的分子极化率和先验拉曼光谱机器学习模型)的发现

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :89-89.

Rice University Reports Findings in Machine Learning (A Bond-Based Machine Learn ing Model for Molecular Polarizabilities and A Priori Raman Spectra)

赖斯大学报告了机器学习(基于键的分子极化率和先验拉曼光谱机器学习模型)的发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-机器学习的新研究是一份报告的主题。根据新闻报道来自德克萨斯州休斯顿的News Rx记者,研究称,“机器学习的使用”近年来,分子模拟中的(ML)算法已经成为一种普遍的算法。现在有exis ts,例如,许多ML力场算法使模拟接近水平在时间尺度和系统尺寸上的精度大大超过了传统的方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Houston, Texas, by News Rx correspondents, research stated, “The use of machine learning(ML) algorithms in molecular simulations has become commonplace in recent years. There now exis ts,for instance, a multitude of ML force field algorithms that have enabled sim ulations approaching levelaccuracy at time scales and system sizes that signifi cantly exceed what is otherwise possible with traditionalmethods.”

Key words

Houston/Texas/United States/North and Central America/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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