Results 191 to 200 of about 342,040 (246)
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda +8 more
wiley +1 more source
High-Speed Instance Segmentation for Endoscopic Spine Surgery: Multicenter Validation and Inference Speed Evaluation. [PDF]
Cho YJ +8 more
europepmc +1 more source
Ag Nanowire‐Integrated MoS2/ZnO Heterojunctions for Highly Efficient Photogenerated Charge Transfer
A versatile strategy is reported for fabricating multi‐dimensional heterojunctions with significantly improved charge transfer capability. By integrating Ag nanowires with a MoS2/ZnO heterojunction, a fourfold increase in surface photovoltage is achieved, reaching 200 mV under visible light illumination.
Anh Thi Nguyen +8 more
wiley +1 more source
Correction: Systolic blood pressure estimation method using electrocardiogram RRI data. [PDF]
Fujita E +13 more
europepmc +1 more source
This study introduces a thin‐film‐type heat‐generating device that uses laser induced graphene (LIG) on a poly(D, L‐lactic) acid film, which realizes both resistance heating by direct current application and photothermal conversion heating by near‐infrared light irradiation.
Masato Saito +4 more
wiley +1 more source
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
Neurometabolics of the anterior cingulate cortex (ACC) in major depressive disorder (MDD): A systematic review and meta-analysis. [PDF]
White AJ +3 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source

