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Computational physics

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Computational physics

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First-principles calculations of charge carrier mobility and conductivity in bulk semiconductors and two-dimensional materials

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Generation and application of river network analogues for use in ecology and evolution

Energy-based comparison between the Fourier-Galerkin method and the finite element method

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

An efficient analytical reduction of detailed nonlinear neuron models

HLA tapasin independence: broader peptide repertoire and HIV control

Active illumination and computational Methods for Temporal and Spectral Super-Resolution Microscopy

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

HLA tapasin independence: broader peptide repertoire and HIV control

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

First-principles calculations of charge carrier mobility and conductivity in bulk semiconductors and two-dimensional materials

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Generation and application of river network analogues for use in ecology and evolution

Active illumination and computational Methods for Temporal and Spectral Super-Resolution Microscopy

Energy-based comparison between the Fourier-Galerkin method and the finite element method

An efficient analytical reduction of detailed nonlinear neuron models