Results 261 to 270 of about 132,281 (338)

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Enhancing and Stabilizing Hydrogen Catalysis Through [NiFe]‐Hydrogenase Immobilization Within Macroporous Covalent Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
[NiFe]‐hydrogenases efficiently catalyze hydrogen conversion, but their instability limits biotechnological applications. Here it is shown that encapsulating hydrogenase into hierarchical COFs with macro‐ and micropores and functionalized with sulfonic or carboxylic acid groups improves enzyme stability and electron transfer to electrodes.
Islam E. Khalil   +12 more
wiley   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

open access: yesAdvanced Functional Materials, EarlyView.
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

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