Results 121 to 130 of about 84,392 (254)

Beyond Charge: Field‐Effect Transistors in Multimodal Biosensing Platforms for Biomolecular Interaction Studies

open access: yesAdvanced Electronic Materials, EarlyView.
This review summarizes the developments in field‐effect transistor (FET)‐based dual‐mode sensor platforms and what can be learned from them. It identifies charge as a crucial factor in biomolecular interactions at interfaces, outlines the challenges of hybrid systems, and highlights their benefits.
Roger Hasler   +4 more
wiley   +1 more source

Diagnosing the Role of Mn Additives in Aqueous Zn/MnO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Aqueous zinc‐ion batteries frequently employ manganese dioxide cathodes and prevent capacity fade with manganese electrolyte additives. Using operando X‐ray fluorescence spectroscopy to directly track Mn concentration during cycling, we show that the beneficial role of the Mn additive appears to be as an additional source of redox‐active material ...
Zixuan Li   +11 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

Flexural Properties in Edgewise Bending of LVL Reinforced with Woven Carbon Fibers. [PDF]

open access: yesMaterials (Basel), 2023
Sokolović NM   +5 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

open access: yesAdvanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

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