Results 261 to 270 of about 217,155 (332)

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

Modulating Oxide‐Based Quantum Materials by Ion Implantation

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz   +2 more
wiley   +1 more source

Chemo‐Mechanical Coupling in Hydrogels: Dynamics in the Diffusion‐Limited Regime

open access: yesAdvanced Functional Materials, EarlyView.
A time‐dependent continuum model is developed to capture the transient swelling dynamics of chemo‐mechanical hydrogels. By coupling chemical reactions, solvent transport, and polymer deformation, volume phase transitions, reaction kinetics, and transient mechanical instabilities are analyzed.
Yao Xiong   +2 more
wiley   +1 more source

Magnetic Flatness and E. Hopf's Theorem for Magnetic Systems. [PDF]

open access: yesCommun Math Phys
Assenza V, Marshall Reber J, Terek I.
europepmc   +1 more source

Understanding Postdeposition Treatments of Hole‐Transporting Self‐Assembling Molecules for Perovskite/Silicon Tandem Solar Cells

open access: yesAdvanced Functional Materials, EarlyView.
The influence of postdeposition treatments on the formation of self‐assembling (mono)layers commonly utilized as hole transport layers in perovskite‐based solar cells is thoroughly investigated. The implementation of a washing step and an annealing step at temperatures exceeding the current literature standards leads to an enhanced layer quality and ...
Jann B. Landgraf   +14 more
wiley   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu   +6 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

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