Results 201 to 210 of about 730,113 (285)

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

open access: yesAdvanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin   +9 more
wiley   +1 more source

Damage‐Free Passivation of Ambipolar OECTs with Fluoropolymer Film for Enhanced Performance and Stability Toward Reliable Biosignal Processing

open access: yesAdvanced Science, EarlyView.
A damage‐free iCVD fluoropolymer passivation strategy is introduced for ambipolar vertical OECTs. Vapor‐phase infiltration and thermal annealing induce nanoscale phase separation in the OMIEC channel, enhancing overall device performance. A single‐channel bipolar event‐driven spiking encoder is also demonstrated for electrocardiogram signal encoding ...
Junyeong Yang   +7 more
wiley   +1 more source

Graphene‐Engineered Rear Interfaces Enable Efficient Flexible CZTSSe Solar Cells on Metal Foils

open access: yesAdvanced Science, EarlyView.
An atomically thin graphene interlayer stabilizes the rear interface of flexible CZTSSe solar cells by regulating interfacial stress, suppressing detrimental interfacial reactions, and reducing the back‐contact barrier. This strategy simultaneously improves photovoltaic performance and mechanical durability.
Yixiong Ji   +18 more
wiley   +1 more source

Van der Waals Heterostructures for Next‐Generation Spintronics: Multiferroic‐Mediated Magnetoelectric Properties

open access: yesAdvanced Science, EarlyView.
As CMOS technology approaches fundamental energy limits, new paradigms for low‐power information processing are required. Magnetic systems are attractive for their spin transport, yet current‐induced magnetization control is energy inefficient. Multiferroic heterostructures enable energy‐efficient electric field manipulation of magnetism.
Donghyeon Lee   +3 more
wiley   +1 more source

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