Results 101 to 110 of about 5,428,738 (277)
Review: Materials Informatics -Metals, Tools and Applications
Since data processing has now also found its way into materials science, there has been a great demand from users for a corresponding textbook. This book provides a guide to the latest advances of materials informatics and data mining for materials ...
Bäßler, Ralph
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
The rational design of photoanode materials is pivotal for advancing photoelectrochemical (PEC) water splitting toward sustainable hydrogen production.
Xiongwei Liang +5 more
doaj +1 more source
Improving deep learning model performance under parametric constraints for materials informatics applications. [PDF]
Gupta V +4 more
europepmc +1 more source
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Materials informatics approach using domain modelling for exploring structure-property relationships of polymers. [PDF]
Hara K +4 more
europepmc +1 more source
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges. [PDF]
Frydrych K +6 more
europepmc +1 more source
Materials Data Infrastructure and Materials Informatics
Data-driven materials research requires two key supporting components: data infrastructure and informatics. In this chapter, we review the state of the art in materials data infrastructure, focusing in detail on four infrastructure projects spanning academia, government, and industry.
Joanne Hill +3 more
openaire +1 more source

