Work

A hybrid physics-informed machine learning and control framework for predictive modeling in additive manufacturing

Year: 2026

Type: article

Source: Journal of Intelligent Manufacturing

DOI: 10.1007/s10845-026-02992-3

Authors: Tariku Sinshaw Tamir, Abul Fazal Muhammad Arif, Syed Sohail Akhtar, Jiewu Leng, Aazim Shafi Lone, Imran, Gang Xiong, Zhen Shen

Institutions: King Fahd University of Petroleum and Minerals, Guangdong University of Technology, Chinese Academy of Sciences, Institute of Automation

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, King Fahd University of Petroleum and Minerals

OpenAlex ID: W7223170717

FWCI:

Cites: 40

Cited by:

Related to: 10