Liquid Metal Biomimicry: Bridging Fluidity and Biological Adaptability. [PDF]
Chen S.
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This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
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Three-dimensional printing of multilayer stretchable electronics with inclined interconnect accesses. [PDF]
Zhao W +9 more
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Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová +6 more
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Correction: Kshirsagar et al. Deep Learning Approaches for Prognosis of Automated Skin Disease. <i>Life</i> 2022, <i>12</i>, 426. [PDF]
Kshirsagar PR +5 more
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Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
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A Superstrong and Ultratough Stretchable Electronic Conductor With Ultradurable Strain-Insensitive Electromechanical Performance. [PDF]
Shan Y +5 more
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Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
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Strontium-Modified BaTiO<sub>3</sub> Composite Nanogenerators for Flexible and Self-Powered Human-Machine Interactions. [PDF]
Kumar BN +6 more
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This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
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