Results 241 to 250 of about 6,027,882 (331)

How the Carrier Mobility and Seebeck Coefficient of Doped Semiconducting Polymers Are Controlled by Counterion Interactions and Mesoscale Order

open access: yesAdvanced Functional Materials, EarlyView.
Conventional doping of P3HT with F4TCNQ results in poor charge transport. However, when F4TCNQ is exchanged with LiTFSI, the transport characteristics are greatly enhanced. We find the increase in charge transport is directly related to an increase in the mesoscale ordering of P3HT, resulting in longer and better‐connected transport pathways.
Quynh M. Duong   +9 more
wiley   +1 more source

Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi   +3 more
wiley   +1 more source

The Genetic Landscape of Inherited Retinal Diseases in the Israeli Population. [PDF]

open access: yesInvest Ophthalmol Vis Sci
Shalom S   +17 more
europepmc   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

open access: yesAdvanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen   +11 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites

open access: yesAdvanced Functional Materials, EarlyView.
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim   +13 more
wiley   +1 more source

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