The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
A Benchmark for Breast Cancer Screening and Diagnosis in Mammogram Visual Question Answering. [PDF]
Zhu J, Huang F, Luo Q, Chen H.
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
Evaluating reasoning large language models with human-like thinking in ophthalmic question answering. [PDF]
Wang Z +9 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
D<sup>2</sup>MNet: Difference-Aware Decoupling and Multi-Prompt Learning for Medical Difference Visual Question Answering. [PDF]
Lai L, Ou W, Gou J, Liu Z.
europepmc +1 more source
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
A study on question answering in the ceramics domain using large language models with retrieved triples and generated textual knowledge prompts. [PDF]
Zhang Q, He F, Hu K, Li J.
europepmc +1 more source
Knowledge-based question answering using graph neural networks and contextual language representations. [PDF]
Samir M, Fathy N, Gad W.
europepmc +1 more source
Comparison of three large language models in postoperative rehabilitation question answering after anterior cruciate ligament reconstruction based on expert ratings. [PDF]
Xia T +7 more
europepmc +1 more source

