Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Robust and secure image steganography with recurrent neural network and fuzzy logic integration. [PDF]
Kanimozhi R, Padmavathi V.
europepmc +1 more source
Kinetic Regimes of Hydrogen Absorption in Thin Films
Knowledge of the hydrogen incorporation mechanisms in thin layers in relation to the amount absorbed is essential to design coatings and devices compatible with hydrogen‐based technologies. A combination of simultaneous in situ methods gives detailed insight into the hydrogenation of a prototypical hydrogen absorber layer in a time‐dependent manner ...
Laura Guasco +7 more
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Dual Attention-Based recurrent neural network and Two-Tier optimization algorithm for human activity recognition in individuals with disabilities. [PDF]
Alkahtani HK, Mohammed GP, Marzouk R.
europepmc +1 more source
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
A vision transformer with recurrent neural network-based fall activity recognition system for disabled persons in smart IoT environments. [PDF]
Alzahrani A, Alghamdi AM.
europepmc +1 more source
Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee +5 more
wiley +1 more source
Diverse perceptual biases emerge from Hebbian plasticity in a recurrent neural network model.
Schönsberg F +4 more
europepmc +1 more source
An optimized bidirectional recurrent neural network for kidney stone detection based on developed bald eagle search method in CT scan images. [PDF]
Tang Z +6 more
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Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
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

