Results 11 to 20 of about 27,230 (113)

Mathematical modeling of the spread of the coronavirus under strict social restrictions

Mathematical Methods in the Applied Sciences, EarlyView., 2021
We formulate a simple susceptible‐infectious‐recovery (SIR) model to describe the spread of the coronavirus under strict social restrictions. The transmission rate in this model is exponentially decreasing with time. We find a formula for basic reproduction function and estimate the maximum number of daily infected individuals.
Mo'tassem Al‐arydah, Hailay Berhe, Khalid Dib, Kalyanasundaram Madhu   +3 more
wiley   +1 more source

Synergistic Compatibilization of CsPbBr3 Perovskites and HfO2 Nanocrystals for Hybrid Sensitized Nanoscintillators

Advanced Functional Materials, EarlyView.
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni, Saptarshi Chakraborty, Andrea Fratelli, Abdessamad El Adel, Jordi Llusar, Francesco Carulli, Matteo L. Zaffalon, Chenger Wang, Vojtech Zabloudil, Etiennette Auffray, Francesco Meinardi, Leonardo Poletti, Laura Lazzarini, Daniela Manno, Anna Galli, Francesca Rossi, Ivan Infante, Sergio Brovelli   +17 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Soft Robotic Sim2Real via Conditional Flow Matching

Advanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi, Xing Wang, André Farinha, Joshua Pinskier, Xing Shen, Richard Scalzo, David Howard   +6 more
wiley   +1 more source

Arrhenius Activation Energy on Viscous and Radiative Heating of Hybridized Chemical Reactive Magnetized‐Casson Nanofluid Flow in Saturated Porous Media With Varied Heat Source/Sink

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study analyzes the influence of Arrhenius activation energy on the chemically reactive, magnetohydrodynamic Casson hybrid nanofluid flow past an exponentially stretching surface embedded in a Darcy–Forchheimer porous medium with a non‐uniform heat source/sink.
Md. Sailanebaba, MD. Shamshuddin, S. O. Salawu   +2 more
wiley   +1 more source

Thermal Conductance and Mass Transport of Brinkman‐Type Nanofluids Across Porous Plates: A Prabhakar‐Fractional Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The paper establishes an advanced computing algorithm to investigate the thermosolutal dynamics of an electrically conductive Brinkman‐type nanofluid that moves in a porous channel, and the fluid is acted on by an inclined magnetic field exerted externally.
Urwa Shehbaz, Umair Khan, MD. Shamshuddin, Nermeen Abdullah, Samia Elattar   +4 more
wiley   +1 more source

Numerical Solutions of ODEs using Volterra Series [PDF]

, 2006
We propose a numerical approach for solving systems of nonautonomous ordinary di®erential equations under suitable assumptions. This approach is based on expansion of the solutions by Volterra series and allows to estimate the accuracy of the ...
Kirov, Nikolay, Krastanov, Michail
core  

Efficient simulation of DC-DC switch-mode power converters by multirate partial differential equations

, 2018
In this paper, Multirate Partial Differential Equations (MPDEs) are used for the efficient simulation of problems with 2-level pulsed excitations as they often occur in power electronics, e.g., DC-DC switch-mode converters.
Gyselinck, Johan, Pels, Andreas, Sabariego, Ruth V., Schöps, Sebastian   +3 more
core   +1 more source

Multigrid Waveform Relaxation on Spatial Finite Element Meshes: The Discrete-Time Case [PDF]

, 1996
The efficiency of numerically solving time-dependent partial differential equations on parallel computers can be greatly improved by computing the solution on many time levels simultaneously.
Janssen, Jan, Vandewalle, Stefan
core   +2 more sources

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

Advanced Physics Research, EarlyView.
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