Robotics & Machine Learning Daily News2024,Issue(Oct.29) :115-116.

Carleton University Reports Findings in Machine Learning (Prediction of electron -solid interaction parameters using machine learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :115-116.

Carleton University Reports Findings in Machine Learning (Prediction of electron -solid interaction parameters using machine learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Ottawa, Canada, by New sRx editors, the research stated, “Electron backscattering coefficient and elect ron-stopping power are essential concepts in many disciplines, from radiation to materials science, semiconductor manufacturing, and space exploration. They ena ble precise calculations, measurements, and simulations of electron interactions with matter, which contribute to advancing science, technology, and safety in a variety of applications.”

Key words

Ottawa/Canada/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文