Results 101 to 110 of about 211,510 (293)

Economic Security of Metallurgical Enterprises in the Context of Sustainable Development: Challenges and Opportunities [PDF]

open access: yesЕкономічний вісник Державного вищого навчального закладу Український державний хіміко-технологічний університет
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

Extraction Metallurgy '85

open access: yes, 1985
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)
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
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

TECHNOLOGICAL CHANGES IN SILVER PRODUCTION AFTER THE SPANISH CONQUEST IN PORCO, BOLIVIA CAMBIOS TECNOLÓGICOS EN LA PRODUCCIÓN DE PLATA DESPUÉS DE LA CONQUISTA ESPAÑOLA EN PORCO, BOLIVIA

open access: yesBoletín del Museo Chileno de Arte Precolombino, 2010
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

open access: yesAdvanced Science, EarlyView.
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

open access: yesArheološki Vestnik
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
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
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]

open access: yes, 2014
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
core  

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
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

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
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

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