Bokus

Gregory R. Bowman – författare

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3 produkter

  1. Gregory R. Bowman, Vijay S. Pande, Frank Noé - Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation, Inbunden. Tillgänglighet: Lägg i varukorg

    Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

    Av Gregory R. Bowman, Vijay S. Pande m. fl.

    Inbunden, 2013

    1946 kr

    Lägg i varukorg

    The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems.The Markov state model (MSM) approach aims to address two key challenges of molecular simulation:1) How to reach long timescales …

  2. Frank Noe, Vijay S. Pande, Gregory R. Bowman - Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation, E-bok. Tillgänglighet: Lägg i varukorg

    Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

    Av Frank Noe, Vijay S. Pande m. fl.

    E-bok, 2013

    2509 kr

    Lägg i varukorg

    The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long …

  3. Gregory R. Bowman, Vijay S. Pande, Frank Noé - Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation, Häftad. Tillgänglighet: Lägg i varukorg

    Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

    Av Gregory R. Bowman, Vijay S. Pande m. fl.

    Häftad, 2016

    1970 kr

    Lägg i varukorg

    The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems.The Markov state model (MSM) approach aims to address two key challenges of molecular simulation:1) How to reach long timescales …