Results 231 to 240 of about 8,315 (306)

Multifunctional Neural Probes Enable Bidirectional Electrical, Optical, and Chemical Recording and Stimulation In Vivo

open access: yesAdvanced Materials, EarlyView.
Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll   +16 more
wiley   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

open access: yesAdvanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach   +4 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

Structural Control of Photoconductivity in a Flexible Titanium‐Organic Framework

open access: yesAdvanced Materials, EarlyView.
The concept of flexibility is extended to titanium frameworks and use it to gain control over charge transport. MUV‐35 is a flexible doubly interpenetrated framework that can shrink spontaneously its volume by ≈40% to afford a photoconductive, porous state that is thermodynamically favored by non‐covalent interactions. Abstract The soft nature of Metal‐
Clara Chinchilla‐Garzón   +6 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

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