Results 121 to 130 of about 3,905,200 (321)
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim +8 more
wiley +1 more source
De Finetti theorems for a Boolean analogue of easy quantum groups [PDF]
We show an organized form of quantum de Finetti theorem for Boolean independence. We define a Boolean analogue of easy quantum groups for the categories of interval partitions, which is a family of sequences of quantum semigroups. We construct the Haar
Hayase, Tomohiro
core +2 more sources
Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna +10 more
wiley +1 more source
Tailoring the Properties of Functional Materials With N‐Oxides
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich +5 more
wiley +1 more source
Scalable parameterized quantum circuits classifier
As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category classification tasks. To address this issue, we propose a
Xiaodong Ding +5 more
doaj +1 more source
Quantum phase classification via quantum hypothesis testing
21 pages, 12 ...
Tanji, Akira +2 more
openaire +2 more sources
Peptide binding classification on quantum computers
We conduct an extensive study on using near-term quantum computers for a task in the domain of computational biology. By constructing quantum models based on parameterised quantum circuits we perform sequence classification on a task relevant to the design of therapeutic proteins, and find competitive performance with classical baselines of similar ...
London, Charles +7 more
openaire +2 more sources
Two novel donor–π–acceptor photoinitiators enable ultrafast long‐wavelength photopolymerization under blue/green LEDs and sunlight. Effective at low intensities and concentrations, they overcome slow kinetics and permit rapid 3D printing via DLW, DLP, and LCD methods.
Ji Feng +9 more
wiley +1 more source
Classification of quantum correlations via quantum-inspired machine learning
Abstract Quantum information theory, and in particular, the theory of quantum state discrimination, has enabled the development of a supervised multi-class classification algorithm. Inspired by the Pretty Good Measurement (PGM), a quantum-inspired classifier named the PGM ...
Giuseppe Sergioli +5 more
openaire +1 more source

