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Show Notes
Computer Simulation of Liquids (Michael P. Allen)
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#Statisticalensembles #Moleculardynamics #MonteCarlosampling #Longrangeforces #Correlationfunctions #ComputerSimulationofLiquids
Computer Simulation of Liquids is a graduate-level scientific text by Michael P. Allen and Dominic J. Tildesley, presented here in its substantially updated second edition. It explains how molecular simulation converts statistical-mechanical models of interacting particles into numerical experiments. Its central methods are molecular dynamics, which generates trajectories from equations of motion, and Monte Carlo sampling, which constructs representative equilibrium configurations through stochastic moves. Rather than treating software as a black box, the book connects physical assumptions, algorithms, implementation choices, and the interpretation of measured properties. The emphasis is on liquids and other condensed systems whose collective structure and motion are difficult to derive analytically, including model fluids, polymers, colloids, liquid crystals, membranes, and glasses. Coverage extends from statistical mechanics and interaction models to long-range forces, parallel computation, and data analysis. Accompanying Fortran and Python examples reinforce its practical orientation. The result is both an introduction to established simulation principles and a careful guide to producing results that can be compared meaningfully with theory and experiment.
- Amazon USA Store: https://www.amazon.com/dp/0198803206?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Computer-Simulation-of-Liquids-Michael-P-Allen.html
- eBay: https://www.ebay.com/sch/i.html?_nkw=Computer+Simulation+of+Liquids+Michael+P+Allen+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0198803206/
#Statisticalensembles #Moleculardynamics #MonteCarlosampling #Longrangeforces #Correlationfunctions #ComputerSimulationofLiquids
Computer Simulation of Liquids is a graduate-level scientific text by Michael P. Allen and Dominic J. Tildesley, presented here in its substantially updated second edition. It explains how molecular simulation converts statistical-mechanical models of interacting particles into numerical experiments. Its central methods are molecular dynamics, which generates trajectories from equations of motion, and Monte Carlo sampling, which constructs representative equilibrium configurations through stochastic moves. Rather than treating software as a black box, the book connects physical assumptions, algorithms, implementation choices, and the interpretation of measured properties. The emphasis is on liquids and other condensed systems whose collective structure and motion are difficult to derive analytically, including model fluids, polymers, colloids, liquid crystals, membranes, and glasses. Coverage extends from statistical mechanics and interaction models to long-range forces, parallel computation, and data analysis. Accompanying Fortran and Python examples reinforce its practical orientation. The result is both an introduction to established simulation principles and a careful guide to producing results that can be compared meaningfully with theory and experiment.
