• Deep learning driven self-adaptive hp finite element method 

  Paszyński, M.; Grzeszczuk, R.; Pardo, D.; Demkowicz, L. (2021-06)

  The fi nite element method (FEM) is a popular tool for solving engineering problems governed by Partial Di fferential Equations (PDEs). The accuracy of the numerical solution depends on the quality of the computational ...

• Unveiling Interfacial Li-Ion Dynamics in Li7La3Zr2O12/PEO(LiTFSI) Composite Polymer-Ceramic Solid Electrolytes for All-Solid-State Lithium Batteries 

  Rincón, M.; García Daza, F.A.; Ranque, P.; Aguesse, F.; Carrasco, J.; Akhmatskaya, E. (2021-06-23)

  Unlocking the full potential of solid-state electrolytes (SSEs) is key to enabling safer and more-energy dense technologies than today’s Li-ion batteries. In particular, composite materials comprising a conductive, flexible ...

• Fractional Diffusion and Medium Heterogeneity: The Case of the Continuos Time Random Walk 

  Sposini, V.; Vitali, S.; Paradisi, P.; Pagnini, G. (2021-07-24)

  In this contribution we show that fractional diffusion emerges from a simple Markovian Gaussian random walk when the medium displays a power-law heterogeneity. Within the framework of the continuous time random walk, the ...

• Stochastic Properties of Colliding Hard Spheres in a Non-equilibrium Thermal Bath 

  Bazzani, A.; Vitali, S.; Montanari, C.; Monti, M.; Rambaldi, S.; Castellani, G. (2021-07-24)

  We consider the problem of describing the dynamics of a test particle moving in a thermal bath using the stochastic differential equations. We briefly recall the stochastic approach to the Brownian based on the statistical ...

• A Tool for Custom Construction of QMC and RQMC Point Sets 

  Godin, M.; Marion, P.; L'Ecuyer, P.; Puchhammer, F. (2021)

  We present LatNet Builder, a software tool to find good parameters for lattice rules, polynomial lattice rules, and digital nets in base 2, for quasi-Monte Carlo (QMC) and randomized quasi-Monte Carlo (RQMC) sampling over ...

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