Results 121 to 130 of about 24,894,856 (287)

Training quantum neural networks using the quantum information bottleneck method

Journal of Physics A: Mathematical and Theoretical
Abstract We provide in this paper a concrete method for training a quantum neural network to maximize the relevant information about a property that is transmitted through the network. This is significant because it gives an operationally well founded quantity to optimize when training autoencoders for problems where the inputs and ...
Ahmet Burak Çatlı, Nathan Wiebe
openaire   +3 more sources

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging

Scientific Reports
Machine learning studies for Raman imaging have addressed the differentiability of normal and diseased states in biomedical applications by grouping a set of Raman spectra in terms of spectral similarity over the sample.
Ryoya Kondo, Yuta Mizuno, Kentaro Mochizuki, Kosuke Hashimoto, Jean-Emmanuel Clément, Yasuaki Kumamoto, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki   +8 more
doaj   +1 more source

From Bulk to Colloidal Nanocrystals: Top‐Down Synthesis of Highly Luminescent Cs2ZrCl6:Te4+ Double Perovskite Nanocrystals for X‐Ray Imaging

Advanced Functional Materials, EarlyView.
Top‐down ultrasonication produces highly emissive Cs2ZrCl6:Te4+ nanocrystals (NCs) with a PLQY of 65%, which is higher compared to that of the NCs synthesized by typical bottom‐up hot‐injection synthesis. The colloidal Cs2ZrCl6:Te4+ NCs have been found to be potential candidates for x‐ray scintillation imaging.
Yang Liu, Ye Wu, Hongpeng Liu, Cong Cui, Iago López‐Fernández, Nadesh Fiuza‐Maneiro, Sergio Gómez‐Graña, Yingjun Chai, Zhicheng Wang, Yusheng Wu, Laishi Li, Xiaoming Li, Lakshminarayana Polavarapu   +12 more
wiley   +1 more source

Abstract visual reasoning based on algebraic methods

Scientific Reports
Extracting high-order abstract patterns from complex high-dimensional data forms the foundation of human cognitive abilities. Abstract visual reasoning involves identifying abstract patterns embedded within composite images, considered a core competency ...
Mingyang Zheng, Weibing Wan, Zhijun Fang
doaj   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Forward‐Biased Perovskite Photodiodes for In‐Sensor Optical Change Sensing

Advanced Functional Materials, EarlyView.
A forward‐biased perovskite photodiode is introduced as an in‐sensor analog preprocessing unit that uses current balancing between photocurrent and injection current to generate optical changes relative to programmable optical reference levels. The device directly converts reference‐relative optical changes into bipolar current signals, enabling sensor‐
Eungseon Yeon, Je‐Jun Lee, Somin Yun, Sangin Hahn, Chanhyeok Kim, Jinsoo Park, Jung Pyo Hong, Seong‐Jun Han, Jung Woo Kim, Jeong Hwan Lee, Subin Jeon, Youngmin Kim, Gunuk Wang, Hanul Min, Do Kyung Hwang   +14 more
wiley   +1 more source

End‐to‐end speech‐denoising deep neural network based on residual‐attention gated linear units

Electronics Letters
In this letter, an improved gated linear unit (GLU) structure for end‐to‐end (E2E) speech enhancement is proposed. In the U‐Net structure, which is widely used as the foundational architecture for E2E deep neural network‐based speech denoising, the input
Seon Man Kim
doaj   +1 more source

Bottleneck-level analysis of conditional variables.

Bottleneck-level analysis of conditional variables.
Ning Zhang (23771), Duan Yu (5620884), Hongwei Fan (379379)   +2 more
core   +1 more source