Results 71 to 80 of about 2,067 (261)
Efficient numerical methods for Volterra integral equations of Hammerstein type
, 2006 Volterra integral equations (VIEs) are the mathematical model of many evolutionary problems with memory arising from biology, chemistry, physics, engineering.
Del Prete, Ida
core
On the asymptotic behaviour of deterministic and stochastic volterra integro-differential equations [PDF]
, 2007 This thesis examines a question of stability in stochastic and deterministic systems with memory, and involves studying the asymptotic properties of Volterra integro-differential equations.
Devin, Siobhan
core
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
Advanced Science, EarlyView.This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
, 2012 A hybrid method is proposed for memory-efficient analysis of reverberation chambers (RCs). In the hybrid method, the cavity is modeled by the recursive update discrete singular convolution (RUDSC) method, and antennas and stirrers inside the cavity are ...
Zhao, Huapeng, Shen, Zhongxiang
core +1 more source
Advanced Science, EarlyView.This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng +7 more
wiley +1 more source
, 2017 The impedance-based structural health monitoring using piezoelectric wafer-active sensor has been increasingly developed for aerospace, civil, and mechanical structures.
Mahnaz Shamshirsaz +2 more
core +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Advanced Science, EarlyView.Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
, 2019 Discrete Singular Convolution (DSC) method has proved its accuracy in free and forced vibration analyses of structures with several simple boundary conditions.
SEÇGİN, ABDULLAH, Kara, Murat
core +1 more source
Advanced Science, EarlyView.Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang +6 more
wiley +1 more source
On the accurate numerical evaluation of geodetic convolution integrals [PDF]
, 2011 In the numerical evaluation of geodetic convolution integrals, whether by quadrature or discrete/fast Fourier transform (D/FFT) techniques, the integration kernel is sometimes computed at the centre of the discretised grid cells. For singular kernels - a
Featherstone, Will +5 more
core +1 more source