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
Development of a Process for Low-Cost LFP Batteries Treatment
The recycling of lithium iron phosphate (LiFePO4) batteries from electric and hybrid vehicles was investigated, by applying mechanical pretreatment and hydrometallurgical methods.
Rafaella-Aikaterini Megaloudi +3 more
doaj +1 more source
The competitiveness of cluster “Srednogorie med”: preconditions and limitations [PDF]
Rozdział z: Functioning of the Local Production Systems in Central and Eastern European Countries and Siberia. Case Studies and Comparative Studies, ed. Mariusz E.
Slavova-Georgieva, Irena
core
A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin +7 more
wiley +1 more source
Spatially Selective Solvation Chemistry by Local Charge Enrichment for Stable Potassium‐Metal Anodes
A MoC/NC functional intermediate medium preferentially interacts with KFSI to reconstruct the interfacial solvation structure and form a KF‐rich inorganic SEI. The synergistic integration of the electronically insulating SEI and MoC/NC suppresses electron tunneling, enables fast and balanced K+/electron transport, and promotes uniform K deposition for ...
Lu‐Kang Zhao +9 more
wiley +1 more source
Big business with Chinese characteristics: two paths to growth of the firm in China under reform [PDF]
This paper presents a case study of two large firms which emerged from among the ranks of traditional state-owned enterprises and new entrants: Shougang (steel) and Sanjiu (pharmaceuticals).
Nolan, P, Yeung, Godfrey
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
One-Step Electrodeposition of Superhydrophobic Coatings on Steel: Influence of Process Parameters [PDF]
Steel is inherently susceptible to corrosion due to its hydrophilic nature (water contact angle < 90°). This study developed superhydrophobic coatings (water contact angle > 150°) using a one-step electrodeposition method, a simple and cost-effective ...
Nazhar Muhammad Adzikra +3 more
doaj +1 more source
Phase prediction, microstructure and high hardness of novel light-weight high entropy alloys [PDF]
Guided by CALPHAD modeling, low-density and multiphase three novel High Entropy Alloys (HEAs), Al40Cu15Cr15Fe15Si15, Al65Cu5Cr5Si15Mn5Ti5 and Al60Cu10Fe10Cr5Mn5Ni5Mg5 were produced by large scale vacuum die casting. A mixture of simple and complex phases
Albizuri, Joseba +4 more
core +2 more sources

