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Erratum: Strategies to combine 3D vasculature and brain CTA with deep neural networks: Application to LVO. [PDF]

iScience
Lal-Trehan Estrada UM +4 more
europepmc +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

Programmable diffractive deep neural networks enabled by integrated rewritable metasurfaces. [PDF]

Sci Rep
Zarei S.
europepmc +1 more source

Living Liquid Metal Composites Embedded with Electrogenic Endospores for Next‐Generation Bioelectronics

Advanced Functional Materials, EarlyView.
A new class of living liquid metal composites is introduced, embedding Bacillus subtilis endospores into eutectic gallium–indium (EGaIn). The spores enhance droplet coalescence, strengthen interfacial conductivity, and provide on‐demand electrogenic functionality after germination. The composites exhibit high conductivity, self‐healing, patternability,
Maryam Rezaie, Yang Gao, Seokheun Choi
wiley +1 more source

Reducing bulky medical images via shape-texture decoupled deep neural networks. [PDF]

Nat Commun
Yang R, Xiao T, Cheng Y, Suo J.
europepmc +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl +2 more
wiley +1 more source

The impact of physical exercise on adolescent psychological resilience: an empirical analysis based on deep neural networks. [PDF]

Front Psychol
Chen Y, Song J, Zhao G, Fu J.
europepmc +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source

Comparison of Deep Neural Networks for the Classification of Adventitious Lung Sounds. [PDF]

J Clin Med
Polanco-Martagón S +5 more
europepmc +1 more source

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