Results 271 to 280 of about 115,093 (312)
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Clustering single-cell multi-omics data via multi-subspace contrastive learning with structural smoothness. [PDF]
Ding Y +5 more
europepmc +1 more source
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti +14 more
wiley +1 more source
A meta-contrastive learning approach for clinical drug-drug interaction extraction from biomedical literature. [PDF]
Jia Y, Yuan Z, Zhu L, Xiang ZL.
europepmc +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
ProMoHGT: a heterogeneous graph transformer with graph contrastive learning for robust microbial protein function prediction. [PDF]
Sui J +7 more
europepmc +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
BiGvCL: bipartite graph-based cross-domain contrastive learning model for the predicting drug-gene interactions. [PDF]
He S, Wang Z, Li J, Zou Q, Zhang F.
europepmc +1 more source
Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy +9 more
wiley +1 more source
Augmentation-Free Contrastive Learning for EKG Classification. [PDF]
Wang J, Hauskrecht M.
europepmc +1 more source

