Collaborative governance effects of carbon market on GHG and air pollutants emission reduction in 3E model -- analysis based on System Dynamics. [PDF]
Yi L, Yang ZP, Zhang ZK, Yang L, Deng W.
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
A game theoretical model for the stimulation of public cooperation in environmental collaborative governance. [PDF]
Fang Y, Perc M, Zhang H.
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
Collaborative governance for creative health: initial programme theories for collaborating across sectors and disciplines. [PDF]
Dayson C +12 more
europepmc +1 more source
A Collaborative Governance Strategy for Power Quality in AC/DC Distribution Networks Considering the Coupling Characteristics of Both Sides. [PDF]
Wang J +6 more
europepmc +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
Evolutionary game and simulation analysis of collaborative governance of sports public opinion. [PDF]
Chen S, Cao Y.
europepmc +1 more source
Palliative care management committees: a model of collaborative governance for primary health care. [PDF]
Kochuvilayil A +6 more
europepmc +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
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

