Recent progress of advanced manganese oxide-based materials for acidic oxygen evolution reaction: Fundamentals, performance optimization, and prospects
M Guo, R Deng, C Wang, Q Zhang - Journal of Energy Chemistry, 2023 - Elsevier
The oxygen evolution reaction (OER) is the basis of various sustainable energy conversion
and storage techniques, especially hydrogen production by water electrolysis. To realize the …
and storage techniques, especially hydrogen production by water electrolysis. To realize the …
Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …
additive manufacturing (AM) has long been pursued due to its paramount importance in …
An efficient semi-analytical extreme value method for time-variant reliability analysis
Time-variant reliability analysis plays a vital role in improving the validity and practicability of
product reliability evaluation over a specific time interval. Sampling-based extreme value …
product reliability evaluation over a specific time interval. Sampling-based extreme value …
Quantitative simulations of grain nucleation and growth at additively manufactured bimetallic interfaces of SS316L and IN625
This paper provides a quantitative understanding of grain nucleation and growth at the
interface of SS316L and IN625 bimetallic structures during directed energy deposition …
interface of SS316L and IN625 bimetallic structures during directed energy deposition …
Time-dependent deep learning predictions of 3D electrode particle-resolved microstructure effect on voltage discharge curves
Battery electrode particle-resolved microstructure featured with a 3D active material (AM)
particle network bonded by carbon and binder (CBD) phase plays a significant role in …
particle network bonded by carbon and binder (CBD) phase plays a significant role in …
Uncertainty-aware mixed-variable machine learning for materials design
Data-driven design shows the promise of accelerating materials discovery but is challenging
due to the prohibitive cost of searching the vast design space of chemistry, structure, and …
due to the prohibitive cost of searching the vast design space of chemistry, structure, and …
Data-driven modeling of process-structure-property relationships in metal additive manufacturing
Z Hu, W Yan - npj Advanced Manufacturing, 2024 - nature.com
Metal additive manufacturing (AM) faces challenges in rapid selection and optimization of
manufacturing parameters for desired part quality. As a more efficient alternative to …
manufacturing parameters for desired part quality. As a more efficient alternative to …