Results 71 to 80 of about 16,300 (265)

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

Effect of Cu and CuP Additions on the Microstructure and Nanoindentation‐Based Fracture Behavior of CoNiAlSi Ferromagnetic Shape Memory Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
Cu and combined Cu–P microalloying refine the microstructure and enhance the nanoindentation‐derived fracture resistance of CoNiAlSi ferromagnetic shape memory alloys without suppressing the martensitic transformation. Comparative SEM, DSC, and nanoindentation results reveal that the CuP‐containing alloy provides the most balanced response, achieving ...
Mehmet Demir
wiley   +1 more source

A generative method and evaluation study of Nüshu patterns based on Shape Grammar and parametric fractals

open access: yesAUTEX Research Journal
This study tackles the dual challenges of cultural feature loss and weak algorithmic controllability in the digital innovation of Intangible Cultural Heritage (ICH) by proposing a novel method that integrates Shape Grammar rules with parametric fractals ...
Feng Huafeng, Shen Jiayao, Liu Chen
doaj   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

Innovative Design and Application of Huayao Cross-stitch Pattern in Women's Leather Bags

open access: yesPige Kexue Yu Gongcheng
Huayao cross-stitch pattern has various shapes and exquisite design, which has high aesthetic value and application value, but there are relatively few researches on its innovative application to the field of luggage design.
Huichao LIU, Yi ZHANG
doaj   +1 more source

Toraja Glyphs: An Ethnocomputation Study of Passura Indigenous Icons

open access: yesJournal of Asian Architecture and Building Engineering, 2017
For the Toraja, an ethnic group indigenous to South Sulawesi, Indonesia, ornamental engravings known as ′passura′ form more than simple decorative elements on their local architecture—they are symbolic icons that convey spiritual messages.
Rizal Muslimin
doaj   +1 more source

Shaping the Grammar of Security.

open access: yesAmeriQuests, 2014
In Australia, practices of preemptive deterrence construct the political identity of asylum seekers as the ‘illegal other’, and as a threat to national security and to national identity. At the core of the state's illegality regimes lies the endorsement of exclusionary norms through the grammar of security.
openaire   +1 more source

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen   +13 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Spatial‐Compatibility‐Assisted Molecular Intercalation in MXenes

open access: yesAdvanced Materials, EarlyView.
This work demonstrates a solvent–free NH4F–mediated route for simultaneous Al removal and molecular intercalation in MXenes. Intercalants are selected by comparing their crystallographic X, Y, and Z dimensions with the MXene interlayer spacing, establishing a spatial‐compatibility criterion that rationalizes guest–host matching and enables predictive ...
Minhao Sheng   +6 more
wiley   +1 more source

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