Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou +3 more
wiley +1 more source
On the Modeling of Irreversibility by Relaxator Liouville Dynamics
A general approach to modeling irreversibility starting from microscopic reversibility is presented. A relaxator that breaks reversibility condenses in the Liouville operator of the relevant degrees of freedom. The irreversible relaxator Liouville equation contains memory effects and initial correlations of all degrees of freedom. Stationary states are
János Hajdu, Martin Janßen
wiley +1 more source
COMPACTNESS OF THE COMMUTATOR OF BILINEAR FOURIER MULTIPLIER OPERATOR
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley +1 more source
Sharp commutator estimates of all order for Coulomb and Riesz modulated energies
Abstract We prove functional inequalities in any dimension controlling the iterated derivatives along a transport of the Coulomb or super‐Coulomb Riesz modulated energy in terms of the modulated energy itself. This modulated energy was introduced by the second author and collaborators in the study of mean‐field limits and statistical mechanics of ...
Matthew Rosenzweig, Sylvia Serfaty
wiley +1 more source
Experimental and Numerical Investigation into the Mechanical Behavior of Composite Solid Propellants Subject to Uniaxial Tension. [PDF]
Wu C, Jiang M, Lu Y, Qu H, Li H, Hu S.
europepmc +1 more source
Unified Hysteresis Modeling via Physics‐Based Deep Learning and Data Augmentation
ABSTRACT Deep learning‐based models have recently emerged as alternatives to traditional form‐constrained hysteresis models, including Bouc‐Wen class models, offering significant potential for unified hysteresis modeling to capture complex nonlinearities and diverse response patterns exhibited under stochastic excitations such as ground motions.
Jaehwan Jeon, Oh‐Sung Kwon, Junho Song
wiley +1 more source
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi +2 more
wiley +1 more source
Strategies for Statistical‐Dynamical Downscaling to Urban Climate Using Global Data
For the statistical part of statistical‐dynamical downscaling, a new formulation for the climate statistics is found. For the dynamical part of statistical‐dynamical downscaling, one‐way nesting with three nests (HH250) and one times nesting with a non‐uniform grid (HH6to250) are performed and evaluated.
Marita Boettcher +6 more
wiley +1 more source
Assessing the Mixing Quality of Hetero‐Aggregates: Applying Mixing Theory to STEM‐EDX Elemental Maps
This study introduces a quantitative method to assess the mixing quality of carbon black‐silica hetero‐aggregates formed in spray flames. Using STEM‐EDX mapping and concepts from mixing theory, the approach characterizes intra‐ and inter‐aggregate homogeneity and particle clustering, enabling precise, composition‐independent evaluation of hetero ...
Simon Buchheiser +4 more
wiley +1 more source

