Results 231 to 240 of about 709,306 (283)

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Enhancing and Not Replacing Clinical Expertise: Improving Named-Entity Recognition in Colonoscopy Reports Through Mixed Real-Synthetic Training Sources. [PDF]

J Pers Med
Ioanovici AC, Feier AM, Mărușteri MȘ, Trâmbițaș-Miron AD, Dobru DE.   +4 more
europepmc   +1 more source

Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets

Advanced Science, EarlyView.
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao, Fengxian Ma, Guoping Gao, Weizhen Meng, Ying Liu, Yandong Ma, Yalong Jiao   +6 more
wiley   +1 more source

A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization. [PDF]

Sci Data
Lima-López S, Farré-Maduell E, Gasco L, Rodríguez-Miret J, Frid S, Pastor X, Borrat X, Krallinger M.   +7 more
europepmc   +1 more source

Enhancing biomedical named entity recognition with parallel boundary detection and category classification. [PDF]

BMC Bioinformatics
Wang Y, Tong H, Zhu Z, Hou F, Li Y.
europepmc   +1 more source

Accurate disaster entity recognition based on contextual embeddings in self-attentive BiLSTM-CRF. [PDF]

PLoS One
Hafsa NE, Alzoubi HM, Almutlq AS.
europepmc   +1 more source

Chinese medical named entity recognition utilizing entity association and gate context awareness. [PDF]

PLoS One
Yan Y, Kang Y, Huang W, Cai X.
europepmc   +1 more source

GRU-SCANET: unleashing the power of GRU-based sinusoidal capture network for precision-driven named entity recognition. [PDF]

Bioinform Adv
Happi Happi BG, Pelap GF, Symeonidou D, Larmande P.   +3 more
europepmc   +1 more source

Generative named entity recognition framework for Chinese legal domain. [PDF]

PeerJ Comput Sci
Mao X, Jiang J, Zeng Y, Peng Y, Zhang S, Li F.   +5 more
europepmc   +1 more source