Results 101 to 110 of about 211,510 (293)
Economic Security of Metallurgical Enterprises in the Context of Sustainable Development: Challenges and Opportunities [PDF]
The article examines the current challenges to the economic security of Ukrainian metallurgical enterprises and ways to increase their sustainability in the context of sustainable development.
Tetiana Pozhuieva, Natalia Bobko
doaj +1 more source
SIGLEAvailable from British Library Document Supply Centre- DSC:3854.065(1985) / BLDSC - British Library Document Supply CentreGBUnited ...
Institution of Mining and Metallurgy (IMM), London (United Kingdom)
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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
Over the last decade, the Proyecto Arqueológico Porco-Potosí has investigated the Bolivian mining center of Porco in order to examine silver production under the Inka, Spanish, and Republican regimes.
Mary Van Buren, Claire R Cohen
doaj
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 Urnfield period Dragomelj I hoard: archaeological and chemical investigations
The hoard with over 86 kg of metal products unearthed in the settlement at Dragomelj is dated to Ha B1 and complements the remains of foundry activities in the nearby settlement at Podgorica.
Peter Turk, David J. Heath, Tea Zuliani
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By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Powder metallurgy in Australasia [PDF]
This article provides a concise overview of current powder metallurgy (PM) activities in Australia and important developments to date. The overview is concerned primarily with the conventional PM of titanium and titanium alloys.
Gabbitas, Brian +3 more
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An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source

