Results 201 to 210 of about 553,059 (371)
Transient c-fos expression and dendritic spine plasticity in hippocampal granule cells
, 1992 S Chen, Dean E. Hillman
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Functional Plasticity Triggers Formation and Pruning of Dendritic Spines in Cultured Hippocampal Networks [PDF]
, 2001 M. M. Goldin +2 more
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Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries
Advanced Materials Interfaces, EarlyView.A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon +4 more
wiley +1 more source
Bioengineered Models of Nerve Regeneration
Advanced Materials Technologies, EarlyView.Bioengineered nerve regeneration platforms ranging from patterned cell cultures and hydrogels to fibrous scaffolds and microfluidic systems are reviewed, highlighting the complex cellular and biochemical environments essential for nerve repair. Challenges associated with these platforms, such as balancing complexity with throughput and the need for ...
Madalynn Jade Thompson +1 more
wiley +1 more source
Spinophilin regulates the formation and function of dendritic spines
, 2000 Jian Feng +8 more
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How to Manufacture Photonic Metamaterials
Advanced Materials Technologies, EarlyView.Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley +1 more source
Postsynaptic mitochondria are positioned to support functional diversity of dendritic spines. [PDF]
Elife, 2023 Thomas CI +3 more
europepmc +1 more source
Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery
Advanced Sustainable Systems, EarlyView.This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee +4 more
wiley +1 more source