Results 181 to 190 of about 332,013 (262)
Technological advancements for surgical planning and intraoperative navigation in elbow arthroplasty: a systematic review. [PDF]
Vles MJ +5 more
europepmc +1 more source
Fabrication Routes for Ionic Conducting Fiber Strain Sensors
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw +3 more
wiley +1 more source
The Italian Nanomedicine Platform (INP): national integration within the European nanomedicine ecosystem. [PDF]
Tosi G +10 more
europepmc +1 more source
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
wiley +1 more source
5 perspectives on translating microphysiological systems from concept to application. [PDF]
europepmc +1 more source
Organ-on-a-chip platforms for disease modeling and in vitro diagnostic applications. [PDF]
Hao P, Deng J, Xu J.
europepmc +1 more source
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
wiley +1 more source
Are We Prepared for Agentic Dentistry? Exploring the Impact of Autonomous Artificial Intelligence in Dental Care. [PDF]
Turky M, Dummer PMH.
europepmc +1 more source
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
wiley +1 more source

