On the control of recurrent neural networks using constant inputs. [PDF]
Tamekue C, Chen R, Ching S.
europepmc +1 more source
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
Competition and cooperation of assembly sequences in recurrent neural networks. [PDF]
Stöber TM +5 more
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
wiley +1 more source
Stochastic activity in low-rank recurrent neural networks. [PDF]
Mastrogiuseppe F, Carmona J, Machens CK.
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
Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting. [PDF]
Brum D +8 more
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
Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines. [PDF]
Dong R, Du J, Liu C.
europepmc +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source

