Results 171 to 180 of about 10,517,742 (364)

Bioengineered Models of Nerve Regeneration

open access: yesAdvanced 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

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

open access: yesAdvanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng   +2 more
wiley   +1 more source

How to Manufacture Photonic Metamaterials

open access: yesAdvanced 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

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

open access: yesAdvanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim   +9 more
wiley   +1 more source

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

open access: yesAdvanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue   +6 more
wiley   +1 more source

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