Results 101 to 110 of about 751,600 (289)

Reduced-Order Modelling and Homogenisation in Magneto-Mechanics: A Numerical Comparison of Established Hyper-Reduction Methods

Mathematical and Computational Applications, 2019
The simulation of complex engineering structures built from magneto-rheological elastomers is a computationally challenging task. Using the FE 2 method, which is based on computational homogenisation, leads to the repetitive solution of micro ...
Benjamin Brands, Denis Davydov, Julia Mergheim, Paul Steinmann   +3 more
doaj   +1 more source

Multilinear formulas and skepticism of quantum computing

Proceedings of the thirty-sixth annual ACM symposium on Theory of computing, 2004
Several researchers, including Leonid Levin, Gerard 't Hooft, and Stephen Wolfram, have argued that quantum mechanics will break down before the factoring of large numbers becomes possible. If this is true, then there should be a natural set of quantum states that can account for all experiments performed to date, but not for Shor's factoring algorithm.
openaire   +2 more sources

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

Advanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah, Asif Abdullah Khan, Saikiran Khamgaonkar, Majid Haji Bagheri, Danyah Khan, Md Rasidul Islam, Mahmoud Almadoun, Aixi Pan, Alexander Li, Marwa Abd‐Ellah, Vivek Maheshwari, Dayan Ban   +11 more
wiley   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source

Comprehensive study of Weddle’s formula-type inequalities for convex functions within the framework of quantum calculus and their computational analysis

Journal of Inequalities and Applications
This paper presents novel extensions of Weddle’s formula-type inequalities for convex functions within the framework of quantum calculus along with their computational analysis.
Abdul Mateen, Hüseyin Budak, Artion Kashuri, Zhiyue Zhang   +3 more
doaj   +1 more source

Coherent Control of Nitrogen Nuclear Spins via the VB−${\rm V}_B^-$‐Center in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy, Charlie J. Patrickson, Thomas Poirier, James H. Edgar, Bruno Lopez‐Rodriguez, Viktor Ivády, Isaac J. Luxmoore   +6 more
wiley   +1 more source

On the Generative Power of ReLU Network for Generating Similar Strings

IEEE Access
Recently, generative networks are widely used in different applied fields including computational biology for data augmentation, DNA sequence generation, and drug discovery.
Mamoona Ghafoor, Tatsuya Akutsu
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Lightweight Optical Flow Estimation Using 1D Matching

IEEE Access
Recent advancements in optical flow estimation have led to notable performance gains, driven by the adoption of transformer architectures, enhanced data augmentation, self-supervised learning techniques, the use of multiple video frames and iterative ...
Wonyong Seo, Woonsung Park, Munchurl Kim
doaj   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Karl Jonas Riisnaes, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source