Results 201 to 210 of about 120,140 (335)
A survey of contrastive learning methods in molecular representation. [PDF]
Forooghi A, Sadeghi S, Rueda L, Ngom A.
europepmc +1 more source
Oracle Bone Script Similiar Character Screening Approach Based on Simsiam Contrastive Learning and Supervised Learning [PDF]
Xinying Weng +3 more
openalex +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Deciphering DEL pocket patterns through contrastive learning. [PDF]
Zhang W +5 more
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Prompt-Contrastive Learning for Zero-Shot Relation Extraction. [PDF]
Zhong X +5 more
europepmc +1 more source
Encoder Augmentation for Multi-Task Graph Contrastive Learning
Xiaoyu Wang +4 more
openalex +1 more source
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
Takaki Yamada +4 more
openalex +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]
Ghayem F +4 more
europepmc +1 more source

