Results 121 to 130 of about 21,840 (347)

Designing Maximal Strength in Nanolamellar Eutectic High‐Entropy Alloys

open access: yesAdvanced Materials, EarlyView.
This study uses molecular dynamics simulations to guide the design of EHEAs with superior mechanical performance. The simulations reveal a peak tensile strength at a critical interphase boundary spacing. Below this spacing, the governing mechanism shifts from the Hall–Petch strengthening to dislocation multiplication–mediated softening. Guided by these
Weiming Ji   +7 more
wiley   +1 more source

Evaluating slag–metal deoxidation equilibrium in secondary steelmaking

open access: yesJournal of Materials Research and Technology, 2019
Steel–slag reactions are important in steelmaking, in special in secondary steelmaking. Currently, desulfurization, deoxidation and inclusion removal are mostly performed during ladle refining.
Viviane Lima Freitas da Silva   +4 more
doaj  

Water Oxidation to Hydrogen Peroxide Over a Super‐Aerophilic Graphite Catalyst

open access: yesAdvanced Materials, EarlyView.
Design of super‐aerophilic graphite catalyst capable of trapping in situ produced oxygen gas on its surface under the electrolyte environment. By so doing, it is able to moderate intermediate species binding, which is critical to enabling the two‐electron water oxidation reaction to hydrogen peroxide.
Umer Javed   +16 more
wiley   +1 more source

Intensive Widmannstätten Nanoprecipitates Catalyze SnTe With State‐of‐the‐Art Thermoelectric Performance

open access: yesAdvanced Materials, EarlyView.
The intensive lath‐shaped Ag2Te Widmannstätten nanoprecipitates are in situ generated in SnTe via AgPbSbTe3 alloying, and align with the formation of the parallel type and twin type interfaces. These Widmannstätten nanoprecipitates effectively scatter phonons to reduce the lattice thermal conductivity, resulting in a significantly enhanced average ZT ...
Tu Lyu   +10 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning

open access: yesMetals
The growing environmental impact of copper production necessitates innovative approaches for optimizing metallurgical processes and minimizing waste. This study addresses this challenge by leveraging advanced machine learning (ML) techniques to enhance ...
Bagdaulet Kenzhaliyev   +5 more
doaj   +1 more source

A High-Definition Spatially Explicit Modeling Approach for National Greenhouse Gas Emissions from Industrial Processes: Reducing the Errors and Uncertainties in Global Emission Modeling [PDF]

open access: yes
Spatially-explicit (gridded) emission inventories (EIs) should allow us to analyse sectoral emissions patterns to estimate potential impacts of emission policies and support decisions on reducing emissions.
Bun, Rostyslav   +6 more
core   +1 more source

Nonterrestrial utilization of materials: Automated space manufacturing facility [PDF]

open access: yes, 1982
Four areas related to the nonterrestrial use of materials are included: (1) material resources needed for feedstock in an orbital manufacturing facility, (2) required initial components of a nonterrestrial manufacturing facility, (3) growth and ...

core   +1 more source

Active Diffusion Controlled Dual Stability in Thermoelectrics for Sustainable Heat Harvesting

open access: yesAdvanced Materials, EarlyView.
Introducing a Mg interlayer at the junction simultaneously stabilizes Mg3(Bi,Sb)2 materials and contacts for over 100 days. This dual stabilization derives from suppressing detrimental Mg diffusion and compensating for Mg loss, thereby maintaining an outstanding power density of 0.45 W cm−2 and remarkable conversion efficiency of 8.6% in aged modules ...
Longquan Wang   +5 more
wiley   +1 more source

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