Results 171 to 180 of about 7,291,916 (317)

A Sustainable Biotechnology Approach for Mineral Separation

open access: yesAdvanced Functional Materials, EarlyView.
Silver‑binding peptides are first identified through phage‐display screening, and then engineered into multifunctional and responsive peptides or proteins. These tailored biomolecules can selectively capture and aggregate silver particles or ions from complex mixtures, enabling rapid and efficient silver separation and recovery.
Guangze Yang   +7 more
wiley   +1 more source

Optimizing (1‐x) BiFeO3‐xCaTiO3 Perovskites: A Pathway to Efficient Flexible Energy Storage

open access: yesAdvanced Functional Materials, EarlyView.
Perovskite materials, like BFO CTO, are popular due to their high conductivity, low cost, and wide availability. In this work a symmetric electrochemical cell based on BFO‐CTO shows a charge of 3.356 C.cm⁻2, giving a specific capacitance of 2.79 mF.cm⁻2 at 1 mV.s⁻2.
Febin Paul   +7 more
wiley   +1 more source

Fluorophobic Effect Enables Selective Detection of PFAS in Water with Electrolyte‐Gated Organic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
PerFluoroAlkyl Substances (PFAS) are responsible of major and persistent environmental pollution worldwide. This work demonstrates an ultra‐sensitive sensor for PFAS based on an organic transistor whose gate is functionalized with a binary self‐assembled monolayer containing a perfluorinated molecule.
Rian Zanotti   +8 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

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