Weak solutions to gradient flows of functionals with inhomogeneous growth in metric spaces. [PDF]
Górny W.
europepmc +1 more source
Thermal Calculations for Co‐Firing of Hydrogen/Ammonia and Coal in 660‐MW Coal‐Fired Boilers
ABSTRACT To achieve a clean energy transition under the dual carbon goals, blending hydrogen/ammonia into pulverized coal boilers represents a key technological pathway. Different hydrogen/ammonia co‐firing ratios (5%–50%) are investigated for their impact on the thermodynamic characteristics of 660‐MW supercritical boiler at 100% and 20% boiler ...
Yaodong Da +7 more
wiley +1 more source
The Interplay Between Non-Instantaneous Dynamics of mRNA and Bounded Extrinsic Stochastic Perturbations for a Self-Enhancing Transcription Factor. [PDF]
Cabriel L +4 more
europepmc +1 more source
Abstract Premise There is a knowledge gap regarding how foliar injury and restricted water uptake can be detected by measuring root dielectric response. This pot study nondestructively evaluated the efficiency of real‐time dielectric measurement to monitor the effects of glyphosate spraying.
Imre Cseresnyés +2 more
wiley +1 more source
Charge Transport Systems with Fermi-Dirac Statistics for Memristors. [PDF]
Herda M, Jüngel A, Portisch S.
europepmc +1 more source
The impact of alloy fluctuations on the spin dynamics of mixed‐cation MAxFA1‐xPbI3 perovskite single crystals is studied experimentally by means of polarized time‐resolved photoluminescence. The high optical orientation degree, reaching 80% for x = 0.1 and 0.8, displays a minimum of 60% for x = 0.4.
Boris F. Gribakin +7 more
wiley +1 more source
The global convergence of some self-scaling conjugate gradient methods for monotone nonlinear equations with application to 3DOF arm robot model. [PDF]
Ibrahim SM +7 more
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Nonlinear SPDEs and Maximal Regularity: An Extended Survey. [PDF]
Agresti A, Veraar M.
europepmc +1 more source
Metalens‐Enabled Double‐Helix Point Spread Function for Multifunctional Imaging
A single metalens is employed to generate a double‐helix point spread function (DH‐PSF). At the design wavelength, the PSF rotation angle varies linearly with depth, while the lobe spacing follows an inverse dependence on axial position. At a fixed depth, the lobe spacing further exhibits a linear dependence on wavelength due to dispersion.
Xuanyu Wu +8 more
wiley +1 more source

