Artificial Intelligence in Physical Science

Author:

Periasamy P.1,Kamala Selvaraj Shalini Packiam2,Mary Christopher Pitchumani Violet3

Affiliation:

1. Department of Physics, Nehru Institute of Engineering and Technology, T.M. Palayam, Coimbatore, Tamil nadu, India

2. Michael Job College of Arts and Science for Women, Sulur, Coimbatore Tamil nadu, India

3. Department of Physics, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil nadu, India

Abstract

The study of matter and energy, as well as their relationships with one another, is the focus of the scientific field known as physics. It is possible to describe physics as the study of nature or as that has been belonging to natural things. This branch of science is concerned with the laws and characteristics of matter, in addition to the forces that act upon it. Physics is often recognized as one of the most challenging scientific disciplines-because, it draws concepts and ideas from other academic subfields, such as biology and chemistry. At the beginning of physics, mathematical models had to be meticulously compiled and then evaluated manually. Scientists are now capable of simulating and solving difficult physics problems with notably more speed, precision, and creativity than ever before because of breakthroughs in artificial intelligence and machine learning. Frameworks powered by artificial intelligence are speeding up the research in a wide variety of fields of physics such as nuclear technology, windmill energy production, thermal power plant, space research and energy management. The application of artificial intelligence for the development of new models and solutions for challenging physics problems has the potential to significantly accelerate the rate of progress of scientific advancement across the most basic field of physics.

Publisher

BENTHAM SCIENCE PUBLISHERS

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3