Results 191 to 200 of about 82,206 (311)

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

Aptamer Functionalized Hydrogel Dressings for Post‐Surgery Tumor Recurrence Inhibition and Tissue Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
Post‐surgical tumor therapy struggles with recurrence and inefficient healing. Anti‐tumor DNA aptamer functionalized gelatin hydrogels, Apt‐GelMA, simultaneously address both issues by suppressing tumor regrowth via targeted tumor cell inhibition and enhancing wound healing through improved cell adhesion and migration. Their biocompatibility, stability,
Tianyue Li   +11 more
wiley   +1 more source

Highly Active Air Electrode with Enhanced Proton Conduction via Isovalent Doping in a Layered Perovskite for Reversible Protonic Ceramic Cells

open access: yesAdvanced Functional Materials, EarlyView.
A Ni‐doped PBSCN20 air electrode is proposed as a promising air electrode material for reversible protonic ceramic cells. An isovalent doping significantly facilitates oxygen vacancy formation and proton uptake while simultaneously reducing the energy barrier for proton migration.
Jiwon Yun   +7 more
wiley   +1 more source

Experimentally Validated Design Principles of D‐Block Transition Metal Single‐Atom Non‐Dissociative Chemisorption Solid‐State Hydrogen Storage Materials

open access: yesAdvanced Functional Materials, EarlyView.
A novel descriptor and a bottom‐up design principle are established to enable the rational design of hydrogen storage materials based on d‐block transition metal single‐atom COFs. By modulating H₂ adsorption through d‐orbital tuning, this approach achieves both high storage capacity and fast kinetics, while revealing a volcano‐type relationship between
Qiuyan Yue   +24 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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