A big data approach to artificial intelligence driven predictive modelling for optimizing material properties in additive manufacturing

W Wenbo Li Z Zishuo Cai K Kuo Bao L Liyan Wang (State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering) J Jia Ma L Li Wang (The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital Zhengzhou China) F Feng Gao D Di Yang (Hubei Key Laboratory of Biomass Resource Chemistry and Environmental Biotechnology, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Engineering Center of Natural Polymers-based Medical Materials, School of Resource and Environmental Science, Wuhan University) R Rongyu Zhang

Article Details

Volume / Issue Vol. 16, Issue 1
Published January 04, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (9)

W

Wenbo Li

Z

Zishuo Cai

K

Kuo Bao

L

Liyan Wang

State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering

J

Jia Ma

L

Li Wang

The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital Zhengzhou China

F

Feng Gao

D

Di Yang

Hubei Key Laboratory of Biomass Resource Chemistry and Environmental Biotechnology, Hubei International Scientific and Technological Cooperation Base of Sustainable Resource and Energy, Hubei Engineering Center of Natural Polymers-based Medical Materials, School of Resource and Environmental Science, Wuhan University

R

Rongyu Zhang