In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Materials"
DOI: 10.1002/adma.202209516
Abstract: Next‐generation implantable computational devices require long‐term‐stable electronic components capable of operating in, and interacting with, electrolytic surroundings without being damaged. Organic electrochemical transistors (OECTs) emerged as fitting candidates. However, while single devices feature impressive figures… read more here.
Keywords: computation; electrochemical transistors; mixed conductors; transistors mixed ... See more keywords
Reconfigurable Analog Computation With Twisted Metasurfaces
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Optical Materials"
DOI: 10.1002/adom.202502326
Abstract: Analog computation based on passive optical metasurfaces and flat‐optics devices holds the promise of reducing latency and energy consumption in information processing. However, most computational metasurfaces demonstrated so far do not allow for dynamic reconfiguration… read more here.
Keywords: twisted metasurfaces; analog computation; computation twisted; reconfigurable analog ... See more keywords
Green Algorithms: Quantifying the Carbon Footprint of Computation
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Science"
DOI: 10.1002/advs.202100707
Abstract: Abstract Climate change is profoundly affecting nearly all aspects of life on earth, including human societies, economies, and health. Various human activities are responsible for significant greenhouse gas (GHG) emissions, including data centers and other… read more here.
Keywords: green algorithms; computation; carbon footprint;
Editorial for “Convolutional neural network for accelerating the computation of the extended Tofts model in dynamic contrast‐enhanced magnetic resonance imaging”
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27545
Abstract: Editorial for “Convolutional neural network for accelerating the computation of the extended Tofts model in dynamic contrastenhanced magnetic resonance imaging” Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) can be a valuable tool for quantifying blood–brain… read more here.
Keywords: network; computation; magnetic resonance; time ... See more keywords
A polar-coordinate-based pencil beam algorithm for VMAT dose computation with high-resolution gantry angle sampling.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15638
Abstract: PURPOSE Most commercially available treatment planning systems (TPSs) approximate the continuous delivery of volumetric modulated arc therapy (VMAT) plans with a series of discretized static beams for treatment planning, which can make VMAT dose computation… read more here.
Keywords: computation; algorithm; vmat dose; vmat ... See more keywords
A GPU-accelerated Monte Carlo dose computation engine for small animal radiotherapy.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16409
Abstract: BACKGROUND Accurate dose computation is critical in precision small animal radiotherapy. The Monte Carlo simulation method is the gold standard for radiation dose computation but has not been widely implemented in practice due to its… read more here.
Keywords: computation; small animal; animal radiotherapy; gpu ... See more keywords
Integral equations and model reduction for fast computation of nonlinear periodic response
Sign Up to like & getrecommendations! Published in 2021 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6740
Abstract: We propose a reformulation for a recent integral equations approach to steady‐state response computation for periodically forced nonlinear mechanical systems. This reformulation results in additional speed‐up and better convergence. We show that the solutions of… read more here.
Keywords: response; equations model; model reduction; integral equations ... See more keywords
Ensuring Confidentiality in Supply Chains With an Application to Life‐Cycle Assessment
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2763
Abstract: Modern supply chains of goods and services rely heavily on close collaborations between the partners within these supply chains. Consequently, there is a demand for IT systems that support collaborations between business partners, for instance,… read more here.
Keywords: supply chains; secure; supply; confidentiality ... See more keywords
Basic Pattern Graphs for the Efficient Computation of Its Number of Independent Sets
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_6
Abstract: The problem of counting the number of independent sets of a graph G (denoted as i(G)) is a classic #P-complete problem. We present some patterns on graphs that allows us the polynomial computation of i(G).… read more here.
Keywords: graphs; computation; pattern; number independent ... See more keywords
The mass of the baryon junction: a lattice computation in 2 + 1 dimensions
Sign Up to like & getrecommendations! Published in 2025 at "Journal of High Energy Physics"
DOI: 10.1007/jhep12(2025)019
Abstract: We present a systematic study of baryonic flux tubes in SU(3) Yang-Mills theory in (2+1) dimensions. A recent next-to-leading-order derivation within the Effective String Theory framework has, for the first time, made explicit the corrections… read more here.
Keywords: baryon junction; junction; usepackage; mass baryon ... See more keywords
A Low-Complexity Approach to Computation of the Discrete Fractional Fourier Transform
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0503-z
Abstract: This paper proposes an effective approach to the computation of the discrete fractional Fourier transform for an input vector of any length N. This approach uses specific structural properties of the discrete fractional Fourier transformation… read more here.
Keywords: computation; discrete fractional; fractional fourier; approach ... See more keywords