Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
ATM immunohistochemistry as an effective screening method for POLE variants among endometrial carcinomas lacking mismatch repair deficiency and p53 abnormalities. [PDF]
Huang X +9 more
europepmc +1 more source
Enhanced Spin‐Reorientation Transition and Polarization in DyFeO3 Thin Films
Epitaxial strain in antiferromagnetic orthoferrite thin films enhances known bulk properties into a parameter range that makes them more accessible for potential applications. We show that bulk polar properties move from 4 K towards room temperature and the magnetic field‐induced AFM to FM spin‐flip in the paramagnetic Dy lattice when applying small ...
Banani Biswas +7 more
wiley +1 more source
Genetic structure of Rattus rattus populations in an endemic plague focus in Madagascar: Implications for rodent surveillance and management. [PDF]
Parany MNJ +9 more
europepmc +1 more source
A Perspective on Artificial Intelligence for Molecular Pathologists. [PDF]
O'Leary TJ, O'Leary BJ, O'Leary DP.
europepmc +1 more source
Generalizing machine learning models from clinical free text. [PDF]
Pandian B +8 more
europepmc +1 more source
Large Language Models and the Future of Peer-Reviewed Medical Publishing: Challenges, Editorial Responses, and a Framework for Responsible Integration. [PDF]
Joo H, Radnaabaatar M, Jung J.
europepmc +1 more source
Platforms as laboratories of the social: How digital capitalism matters for computational social research in North America. [PDF]
Ak O.
europepmc +1 more source
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