n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis +19 more
wiley +1 more source
Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction. [PDF]
Banumathy D +3 more
europepmc +1 more source
Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network. [PDF]
Li W, Luo Z, Jin Y, Xi X.
europepmc +1 more source
Correlated Charge Transport in an Organic Coulomb Glass
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source
Utilizing deep belief network optimized by balanced Manta ray foraging optimization algorithm for estimating the shear Wall's shear strength. [PDF]
Liu F, Dong Z, Gorbani B.
europepmc +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics. [PDF]
Qin T +4 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Inferential Estimation of Polymer Melt Index Using Deep Belief Networks
This paper presents using deep belief networks for the inferential estimation of polypropylene melt index in an industrial polymerization process. The polymer melt index is difficult to be measured online in practice.
Zhang J, Zhu C
core +2 more sources
Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network. [PDF]
Ganesan P +3 more
europepmc +1 more source

