Robotics & Machine Learning Daily News2024,Issue(Apr.23) :69-70.

Study Results from Schrodinger Inc. Provide New Insights into Machine Learning ( Advancing Material Property Prediction: Using Physics-informed Machine Learning Models for Viscosity)

Robotics & Machine Learning Daily News2024,Issue(Apr.23) :69-70.

Study Results from Schrodinger Inc. Provide New Insights into Machine Learning ( Advancing Material Property Prediction: Using Physics-informed Machine Learning Models for Viscosity)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Portland, Oregon, by Ne wsRx journalists, research stated, “In materials science, accuratelycomputing p roperties like viscosity, melting point, and glass transition temperatures solel y through physicsbasedmodels is challenging. Data-driven machine learning (ML) also poses challenges in constructing MLmodels, especially in the material sci ence domain where data is limited.”

Key words

Portland/Oregon/United States/North a nd Central America/Business/Business/Cyborgs/Emerging Technologies/Machine Learning/Schrodinger Inc./Schrodinger Inc.

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