From Ann Arbor to Sheffield: Around the World in 80 Years. I.

From Ann Arbor to Sheffield: Around the World in 80 Years. I


Childhood and graduate school at Ann Arbor Michigan prepared Bill for an interesting and rewarding career in physics. Along the way came Carol and many joint discoveries with our many colleagues to whom we both owe this good life. This summary of Bill’s early work prior to their marriage and sabbatical in Japan is Part I, prepared for Bill’s 80th Birthday celebration at the University of Sheffield in July 2016.

Hard-Disk Melting, Lyapunov Instability, Time-Reversible Thermostats, Chaotic Dynamics

I Bill’s Early History in Chemistry and Physics, 1936-1990

i.1 Ann Arbor Michigan to Washington D C to Oberlin Ohio and Back

My research career got off to an early start in Ann Arbor. My earliest memories go back there to the late 1930s. My Father taught econometrics and location theory at the University. The building always smelled of cigars. In his lecture room he had a giant wall-mounted sliderule and a desktop framework he had constructed with a few hundred vertical wires holding just as many gold-colored cubes. Each cube could slide up or down its support wire to represent an point on a surface in three-dimensional space. Our Family moved to Washington D C during the war years for government work on rationing and price controls. My Father, though assigned to the Navy, spent the last year of the war in Germany in a Jeep, estimating the cost of rebuilding.

Back at home I was fascinated by mathematics, particularly the identity :

At Woodrow Wilson High School Louise “Quiz” Stull taught a rigorous and stimulating chemistry class. I was inspired by her example and that of my chemist uncle John Redfield Hoover, a plastics enthusiast and fan of Dixieland Jazz. After graduation I set off to Oberlin Ohio with a Procter and Gamble scholarship, planning to learn more chemistry. I particularly enjoyed Luke Steiner’s chemistry and thermodynamics courses there. Like Mrs. Stull Professor Steiner used surprise quizzes to keep his class alert. In his thermodynamics course we integrated heat capacity data by counting squares on large-size graph paper.

Figure 1: Trajectories for 32 hard spheres in the solid ( left ) and fluid ( right ) phases.

In my third year at Oberlin I had an automobile accident and missed a semester of school. As a fringe benefit I chose to take Stuart Rice’s course in statistical mechanics at Harvard that summer, while earning a little money in my spare time helping measure cats’ brain waves at M I T. After graduating from Oberlin I returned to Michigan in 1958 for a PhD in chemical physics with Andy De Rocco, a gifted and fun-loving teacher of statistical mechanics, with his course based on Joaquin Luttinger’s lecture notes. I also took Frank Harary’s graph-theory course in the mathematics department. Graph theory came in handy years later in Livermore in working with Francis Ree on the Mayers’ virial series. We related the graphs for pressure with those for the pair distribution function, and to the many-fewer but more-sophisticated graphs that have by now been successfully pursued through the tenth virial coefficient for hard disks and hard spheresb1 ().

There was a FORTRAN course about three hours long, given all in one evening, enabling me to transition to an IBM 704 from Andy’s Olivetti calculator with its paper tape and the Chemistry Department’s hand-cranked Marchant calculators. Programming was in the “MAD” language. Michigan’s Algorithmic Decoder language honored the magazine fixture Alfred E. Neuman. I also had the good luck to hear George Uhlenbeck’s physics lectures on kinetic theory, transcribed to the board from a musty notebook he held at arm’s length.

Chemistry students at Michigan typically prepared seminars based on recent Scientific American articles. I was fortunate to read Berni Alder and Tom Wainwright’s “Molecular Motions” article ( see Figure 1 ) in the October 1959 Scientific Americanb2 (). That article piqued my interest in Livermore with the goal of doing molecular dynamics. But first came some useful additional study, a post-doctoral year with Jacques Poirier in Durham North Carolina where I learned to evaluate cluster integrals by Monte Carlo integration.

Figure 2: The diamond-shaped free volumes in the correlated cell model are larger than the usual hexagonal free volume from the ordinary cell model, shown hatched at the center of the cell. When the second-neighbor separation exceeds two diameters the white disks can escape their cells. The pressure for the correlated model exhibits the van der Waals’-like loop shown in Figure 3.
Figure 3: Hard-disk models. Pressure Volume plot for the correlated cell model is shown in red. is the close-packed volume. The estimated freezing pressures from references 6 (AW) and 7 (Hoover-Ree) are based on molecular dynamics and a Padé approximant respectively. The high-density equation of state ( AHY ) is described in reference 8. The most recent estimated pressure, in blue, is taken from reference 4. “Virial” is the ten-term expansion using Clisby and McCoy’s virial coefficients from reference 1.

i.2 From Durham North Carolina to Livermore California

Figure 4: In the hexatic phase the particle motions from Zangi and Rice’s 2004 simulationb5 () parallel the three triangular lattice directions. Compare to the similar particle trajectories which can be found in the multiphase trajectory taken from Alder and Wainwright’s 1962 studyb6 ().

By the time I left Michigan for a postdoc at Duke I was hooked on computer simulation. During the spring of 1962 I interviewed at Livermore, with Berni and Tom, and at Los Alamos, with Bill Wood. Livermore won out. Besides the better money for me it was much more interesting to see motion governed by differential equations rather than watching uncorrelated Monte Carlo moves, no matter how clever the underlying algorithm. Berni made it easy for me to learn and to work with him and some of his many colleagues, Brad Holian, Francis Ree, Tom Wainwright, and David Young. We worked on a variety of projects in kinetic theory and statistical mechanics, mostly directed toward equation of state properties for hard particles.

Our first projectb3 () ( see Figures 2 and 3 ) provided a great example of advancing theory by the observation and description of computer experiments. Movies of hard-disk dynamics as well as Bill Wood’s reports of his Monte Carlo studies at Los Alamos, revealed extensive cooperative motions of disks, both linear and circular in nature. These correlated motions suggested modifying the cell model for dense fluids. That model approximates the th root of the partition function by a single-particle free-volume integral. This good idea is exact for a very light particle which moves so rapidly that its neighbors appear to be stationary. A “correlated” cell model based on the idea of correlated motion was my first Livermore publication. The resulting van der Waals’-like loop closely matched the large-system transition from fluid to solid as it was estimated in the 1960s. A more precise idea of what happens at the melting and freezing densities was intensively investigated 50 years laterb4 (). Although the details involve a “hexatic” phaseb5 () ( see Figure 5 ) on the solid side of the transition, from the visual standpoint the transition appears to be first-order. The current estimate for the transition pressure is just 3 percent higher than Berni and Tom’s 1962 estimateb6 () and 1.6 percent lower than our best guesses with Francis Ree and Dave Young in 1968b7 (); b8 () as shown in Figure 3.

Figure 5: Nonequilibrium pair distribution function which contributes to the potential shear stress ( from Ashurst’s Thesisb11 () ). Measurement with molecular dynamics is the solid line. The dashed line corresponds to the rigid shear of the equilibrium distribution function for a best-fit choice of Maxwell’s relaxation time. The actual and approximated contributions differ by about four percent.

i.3 Gordon Conferences in New Hampshire and CECAM workshops in France

With the equilibrium equation-of-state problem solved by a van-der-Waals’-like perturbation theoryb9 () it was time to move on. By 1971 Berni had helped me into a teaching position at Teller Tech, where my first PhD student, Bill Ashurst, from just across the street at the Sandia Laboratory, shared my interest in nonequilibrium molecular dynamics. We developed numerical methods for measuring transport coefficients by modifying Hamiltonian mechanics to include velocity and temperature gradients. That work led to participating in Gordon Conferences in New Hampshire, meeting scientists from all over the world, and to travel abroad. I participated in Carl Moser’s CECAM workshops, originally in Orsay and later at Lyon, getting acquainted with many of the men interested in molecular dynamics and visiting their laboratories: Giovanni Ciccotti, Gianni Iacucci, Dimitri Kusnezov, Michel Mareschal, Shuichi Nosé, Loup Verlet, Bob Watts, Kris Wojciechowski, and Les Woodcock. In those days it was exciting and interesting to establish the agreement between the Monte Carlo and molecular dynamics methods for systems as small as four particlesb10 (). Molecular dynamics had the advantages of simulating actual motions while solving nonequilibrium problems and generating nonequilibrium distribution functionsb11 (). See Ashurst’s Figure 5.

i.4 Sabbatical in Canberra Australia, 1977-1978

Figure 6: The fluid configurations at the top illustrate extensive ( left ) and intensive ( right ) free volumes for hard disks with half the diameter of the exclusion disks shown in the figure. The “percolation transition” separating the two regimes is at a density one fourth of the close-packed density. The fluid and solid configurations at the bottom show that the fluid-phase free volume is considerably smaller than the solid-phase free volume at the same density.
Figure 7: Relative density, pressure in kilobars, and temperature in kelvins for shock compressions of liquid argon to 12 and to 27 kilobars. My Navier-Stokes estimates ( filled circles ) from reference 15 are compared to Klimenko and Dremin’s simulation data ( lines ) from reference 14.

Bill Ashurst had finished his thesis work, simulating nonequilibrium shear and heat flows with pair potentials, in 1974. I arranged a Fulbright leave to extend the pair-potential calculations to water with Bob Watts at Canberra. Once I had arrived two setbacks disabled the plan: [ 1 ] Bob was appointed head of the Computer Centre within a week of my arrival and [ 2 ] his potential for water turned out to be unstable. As a result I mainly worked with my son Nathan, evaluating hard-disk free volumes in the solid and fluid phases and locating the percolation transition where the free volume changes from intensive to extensiveb12 (). Two ways of illustrating the free volumes ( disks of radius above and diameter below ) appear in Figure 6.

Our office was just across the hall from a door with a hand-lettered sign identifying the occupant, a recent PhD and enthusiastic bush-walker, “BigFoot Evans”. Along with the Watts’, we spent a lot of time together socially and in the mountains, despite Bob’s immersion, if not quite drowning, in administrative work. Almost every weekend found us exploring the Australian bush or rock climbing at Booroomba Rocks, just half an hour outside Canberra.

In 1967 I set out to model the propagation of strong shockwaves in solids, strong enough to cause melting. Although a preliminary account was publishedb13 () the project was never completed due to the unreliability of the magnetic tapes on which the particle coordinates and velocities were stored. Large-scale shockwave simulations were put on hold until around 1980. By that time Klimenko and Dremin had published shockwave profilesb14 () for two different shock strengths. Their results are the solid lines in Figure 7. In 1979 I compared their molecular dynamics simulations of shockwaves to the predictions of Navier-Stokes continuum mechanicsb15 (). The good agreement at 12 and 27 kilobars set the stage for a large-scale higher-pressure effort at nearly 400 kilobars. The work involved seven of us confronting computer simulations of transport coefficients with the high-pressure shockwave datab16 (); b17 (). The agreement was semiquantitative. The observed viscosity at 400 kilobars was about thirty percent higher than the low-strainrate Newtonian viscosity. Steady shear experiments predict a decrease rather than an increase. Thus there is still some interesting work to be done in order to understand this difference in the rate dependence.

i.5 1984: Shuichi Nosé’s Canadian Ideas Appear in France

After his thesis work in Kyoto Shuichi Nosé moved to faroff Northern Canada to a postdoctoral position with Mike Klein. Nosé published two amazing papers in 1984 showing how to do constant temperature molecular dynamics in the canonical ensembleb18 (); b19 (). He used a logarithmic potential to store the excess energy from fluctuations around the mean. Their importance was clear. He was invited to a CECAM workshop at Orsay, just outside Paris, to discuss his work. After reading his papers I arranged to attend that CECAM workshop. On the way there I came across Nosé on an Orly-to-Paris train platform, a few days before the workshop was to begin. This was very good luck ! Back in Livermore I had prepared a list of a dozen discussion questions for him concerning his papers. Most of them had to do with “time-scaling”, an important step in his work and one that was entirely foreign to me. The timescaling variable varies with time between zero and unity. appears in the denominator of the kinetic energy in Nosé’s Hamiltonian so that the equation of motion for the friction coefficient , for the motion of the momentum conjugate to , with in the denominator, is quite stiff :

Nosé and I went over the new concepts carefully on a bench in front of the Notre Dame cathedral. That informative meeting, together with the stimulation from the workshop that followed led me to spend the next two weeks after the workshop at Philippe Choquard’s laboratory in Lausanne. One of his students helped me to make Tektronix plots of harmonic oscillator canonical trajectories, shown in Figure 8. In the student’s words “we make a graphique” ! It was amazing to me that the trajectories generated by two entirely different sets of differential equations, one stiff and the other not, were identical. The original stiff equations were relatively useless. The “scaled” equations with all of the rates multiplied by , were well-behaved and quite useful in equilibrium canonical-ensemble simulations.

Figure 8: Tektronix plots of thermostated harmonic oscillator trajectories from reference 21. (a) is the ordinary isoenergetic harmonic oscillator. (b) and (d) are thermostated oscillator trajectories while in (c) and (e) the thermostat response has been increased by a factor of ten relative to the equations in the text.

To illustrate, Nosé’s original and “scaled” equations of motion for a harmonic oscillator are as follows :

Nosé’s four scaled first-order equations can then be simplified, eliminating both and to give a second-order coordinate-space “thermostated” equation of motion along with a first-order “feedback” equation for the friction coefficient :

, originally the momentum associated with , now plays the role of a “friction coefficient”, or “thermostat variable”. The missing equation, , is best ignored, as plays no role in the time-development of the oscillator trajectory. In the simpler “Nosé-Hoover” approach the time derivative of is derived directly from Liouville’s flow equation rather than from Nosé’s “ad hoc” Hamiltonian.

It wasn’t until twelve years later, 1996, that Dettmann and Morriss published a methodb20 () that avoids the explicit time-scaling step by the equivalent two-part process of [ 1 ] multiplying the Hamiltonian by and [ 2 ] setting the value of the Hamiltonian equal to zero. Though unconventional it turns out that this same idea actually works in general if one wishes to multiply the rates by an arbitrary function provided that the Hamiltonians are also set equal to zero :

In Lausanne after the Orsay meeting, and with a good understanding of Nosé’s work, I wrote a short paper describing my own interpretation of his work along with a simpler derivation of his results. My Liouville equation approach avoided Nosé’s time-scaling. I included applications to the harmonic oscillator and the isobaric ensemble. Those three pagesb21 (), with the Lausanne Tektronix plots, describing what is now called “Nosé-Hoover” mechanics have generated many extensions in directions well beyond my understanding. Oddly enough I haven’t since used this scaling trick with any other problem, but it looks like a good one to remember nonetheless.

The microcanonical oscillator is the simplest of problems. It gives a circular phase-plane orbit. Figure 9 illustrates examples of the complexity of the Nosé-Hoover oscillator dynamics in the canonical ensemble. Six percent of the stationary distribution function for the oscillator’s phase space ,

is occupied by a connected chaotic sea made up of solutions which separate exponentially fast from one anotherb22 (). The remaining 94% of the distribution is made up of tori surrounding stable periodic orbits. So this oscillator model is far from ergodic.

Figure 9: Flux through the cross section for the Nosé-Hoover oscillator showing at each crossing. The white “nullclines” show that the flux vanishes for . All these points are located in the chaotic sea, which makes up approximately six percent of the oscillator’s stationary-state measure in phase space. Red/blue indicate the most positive/negative .

Several ways of solving the harmonic oscillator problem with an ergodic dynamics were developed over the next thirty years, all of them requiring at least two thermostat variables so as to produce chaos everywhere in the oscillator phase space. An example from 1996b23 () is

The two friction coefficients and control the two moments and , respectively. The four differential equations have a stationary and ergodic phase-space distribution, Gaussian in all four variables :

Figure 10: Flux through the cross-section for the 0532 oscillator reflects the ergodic nature of the model. The largest-to-smallest local exponents are colored from red-to-blue. The local Lyapunov exponents give the instantaneous rate of separation, , for two nearby trajectories. Notice while , showing a surprising symmetry breaking !

Thirty years after the original oscillator work, in the summer of 2015, I was spending a day watering trees at our home in Ruby Valley. I had the idea of applying “weak control” to the harmonic oscillator, using a single thermostat variable for the simultaneous control of two oscillator moments rather than just one. Successful examples soon followed. One of them, shown in Figure 10 is the “0532 Model” :

Because this model is ergodicb24 () its cross sections have no holes and are simple Gaussian functions. But they take on some interest when colored according to the local values of the Lyapunov exponent. Despite the time reversibility of the equations of motion the time-reversed trajectory’s local ( instantaneous ) values of the largest Lyapunov exponent are unrelated to the largest local exponent going forward in time. This symmetry breaking is a conservative relative of the dissipative symmetry breaking which generates “strange attractors” ( and not “strange repellors” ) in nonequilibrium simulations. With the successful application of weak control the original 1984 problem of finding an ergodic thermostat for the harmonic oscillator finally produced several single-thermostat solutions.

Continued exploration of the oscillator phase space is ongoing. The most recent work I have seen is a collection of knots, tied in phase space by one or two Nosé-Hoover oscillator trajectoriesb25 (). Piotr Pieranski’s internet descriptions and depictions of knots are an enriching experience. Knot theory was and is a well-developed field of study going back to Kelvin and Maxwell. For an introductory look at knots see the interesting work on the prototypical overhand ( or trefoil ) knotb26 (). See Figure 11.

i.6 1985: Sabbatical Leave at Boltzmanngasse in Wien

The CECAM meetings enriched my life, leading to a sabbatical with Harald Posch and Karl Kratky in Vienna and another four years later with Shuichi Nosé in Yokohama. Work at Harald’s Boltzmanngasse laboratory was intense and productive. Apart from the floor and the high ceiling Harald and Franz Vesely and I covered all of the horizontal surfaces of Harald’s large laser lab with pictures and projections of tori and cross-sections of chaotic seasb27 (). The cross-section calculations were time-consuming, taking all night to run, showing up on the screen in the morning in what I recall was a beautiful shade of green. To assess the improvement in computation I recalculated a cross-section problem on a Mac laptop, generating two billion timesteps solving the three differential equations describing the simplest Nosé-Hoover thermostated oscillator :

It took exactly two minutes to run, generating about half a billion points for each of the three cross sections : . Comparing the 2016 and 1985 computation times gave a speedup of or so in 30 years, somewhat slower than Moore’s Law’s prediction, but a very pleasant outcome of the computer revolution.

Figure 11: Simple examples of Piotr Pieranski’s software for tightening and rendering knots. The trefoil ( or overhand ) knot below can be found among the many Nosé-Hoover oscillator orbits explored in reference 25.

By 1987 Bill and another excellent PhD student Bill Moran, had analyzed the isokinetic motion of a point mass falling through a triangular lattice of scatterers. This is the Galton Boardb28 (), named for the statistician who built one over 100 years ago, to demonstrate the binomial and Gaussian distributions caused by scattering. In between collisions the Galton-Board equations of motion are ;

The friction coefficient maintains the squared velocity equal to unity, , as the reader can easily verify. The dissipation induced by the friction coefficient allows the moving particle to descend, converting field energy to heat which is extracted by the reservoir. A look at the phase-space cross sections in Figure 12 shows that the dimensionality of the fractal attractor decreases as the field strength is increased from one, to two, to three, to four. In this last case the phase space is separated into tori, describing the stable bouncing of the moving particle between two scatterers in the same horizontal row, as well as the chaotic sea which describes the dissipation associated with the Second Law of Thermodynamics. This problem with its motion on a three-dimensional energy surface in the four-dimensional phase space, was one of the earliest to show the multifractal phase-space distributions characterizing time-reversible deterministic dissipative systems.

Figure 12: A unit cell of the triangular lattice Galton Boardb28 () is shown to the left with the definitions of the two angles and defining a scatterer collision. At the right phase-space cross sections are shown for field strengths of 1, 2, 3, and 4. In the last case there are concentric tori occupying the near-circular hole in the section. At the lower field strengths the dynamics is ergodic so that all states are a part of the chaotic sea.

i.7 Moral

I am very grateful to all my colleagues for support, wisdom, collaborations, friendship, and love over the years. I am particularly grateful to Berni Alder for his extending a helping hand in so many ways that proved crucial to the good life I have enjoyed. His generosity in presenting an inspiring talk at the Sheffield Conference was a very welcome eightieth Birthday gift. I urge those of you who are younger to reflect upon your good fortune in being a part of our progress in understanding the world around us.


  1. N. Clisby and B. M. McCoy, “Ninth and Tenth Order Virial Coefficients for Hard Spheres in Dimensions”, Journal of Statistical Physics 122, 15-57 (2006) = arXiv 0503525.
  2. B. J. Alder and T. E. Wainwright, “Molecular Motions”, Scientific American 201, 113-126 (1959).
  3. B. J. Alder, W. G. Hoover, and T. E. Wainwright, “Cooperative Motion of Hard Disks Leading to Melting”, Physical Review Letters 11, 241-243 (1963).
  4. M. Engel, J. A. Anderson, S. C. Glotzer, M. Isobe, E. P. Bernard, and W. Krauth, “Hard-Disk Equation of State: First-Order Liquid-Hexatic Transition in Two Dimensions with Three Simulation Methods”, Physical Review E 87, 042134 (2013) = arXiv 1211.1645.
  5. R. Zangi and S. A. Rice, “Cooperative Dynamics in Two Dimensions”, Physical Review Letters 92, 0355002 (2004).
  6. B. J. Alder and T. E. Wainwright, “Phase Transition in Elastic Disks”, Physical Review 127, 359-361 (1962) .
  7. W. G. Hoover and F. H. Ree, “Melting and Communal Entropy for Hard Spheres”, The Journal of Chemical Physics 49, 3609-3617 (1968).
  8. B. J. Alder, W. G. Hoover, and D. A. Young, “Studies in Molecular Dynamics. V. High-Density Equation of State and Entropy for Hard Disks and Spheres”, The Journal of Chemical Physics 49, 3688-3696 (1968).
  9. J. A. Barker and D. Henderson: “What is ‘Liquid’? Understanding the States of Matter”, Reviews of Modern Physics 48, 587-671 (1976).
  10. W. G. Hoover and B. J. Alder, “Studies in Molecular Dynamics. IV. The Pressure, Collision Rate, and Their Number Dependence for Hard Disks”, The Journal of Chemical Physics 46, 686-691 (1967).
  11. W. T. Ashurst, Dense Fluid Shear Viscosity and Thermal Conductivity via Nonequilibrium Molecular Dynamics (Ph D dissertation, University of California at Davis-Livermore, 1974) = Sandia Livermore Laboratory Report, SLL-74-0013.
  12. W. G. Hoover, N. E. Hoover, and K. Hanson, “Exact Hard-Disk Free Volumes”, The Journal of Chemical Physics 70, 1837-1844 (1979).
  13. R. E. Duff, W. H. Gust, E. B. Royce, M. Ross, A. C. Mitchell, R. N. Keeler, and W. G. Hoover, “Shockwave Studies in Condensed Media”, in Behavior of Dense Media Under High Dynamic Pressures (Gordon and Breach, New York, 1968).
  14. V. Y. Klimenko and A. N. Dremin, “Structure of Shockwave Front in a Liquid” in Detonation, Chernogolovka, edited by O. N. Breusov et alii (Akademiya Nauk, Moscow, SSSR, 1978), pages 79-83.
  15. W. G. Hoover, “Structure of a Shockwave Front in a Liquid”, Physical Review Letters 42, 1531-1534 (1979).
  16. W. G. Hoover, D. J. Evans, R. B. Hickman, A. J. C. Ladd, W. T. Ashurst and B. Moran, “Lennard-Jones Triple-Point Bulk and Shear Viscosities. Green-Kubo Theory, Hamiltonian Mechanics, and Nonequilibrium Molecular Dynamics”, Physical Review A 22, 1690-1697 (1980).
  17. B. L. Holian, W. G. Hoover, B. Moran, and G. K. Straub, “Shockwave Structure via Nonequilibrium Molecular Dynamics and Navier-Stokes Continuum Mechanics”, Physical Review A 22, 2798-2808 (1980).
  18. S. Nosé, “A Molecular Dynamics Method for Simulations in the Canonical Ensemble”, Molecular Physics 52, 255-268 (1984).
  19. S. Nosé, “A Unified Formulation of the Constant Temperature Molecular Dynamics Methods”, The Journal of Chemical Physics 81, 511-519 (1984).
  20. C. P. Dettmann and G. P. Morriss, “Hamiltonian Reformulation and Pairing of Lyapunov Exponents for Nosé-Hoover Dynamics”, Physical Review E 55, 3693-3696 (1997).
  21. W. G. Hoover, “Canonical Dynamics: Equilibrium Phase-Space Distributions”, Physical Review A 31, 1695-1697 (1985).
  22. P. K. Patra, J. C. Sprott, W. G. Hoover and C. G. Hoover, “Deterministic Time-Reversible Thermostats : Chaos, Ergodicity, and the Zeroth Law of Thermodynamics”, Molecular Physics 113, 2863-2872 (2015).
  23. W. G. Hoover and B. L. Holian, “Kinetic Moments Method for the Canonical Ensemble Distribution”, Physics Letters A 211, 253-257 (1996).
  24. W. G. Hoover, C. G. Hoover, and J. C. Sprott, “Nonequilibrium systems: Hard Disks and Harmonic Oscillators Near and Far From Equilibrium”, Molecular Simulation ( in press, 2016) = arXiv 1507.08302.
  25. L. Wang and X-S. Yang, “The Invariant Tori of Knot Type and the Interlinked Invariant Tori in the Nosé-Hoover System”, arXiv 1501.03375 (2015).
  26. S. Przybyl and P. Pieranski, “Tightening of the Elastic Overhand Knot”, Physical Review E 79, 031801 (2009).
  27. H. A. Posch, W. G. Hoover, and F. J. Vesely, “Canonical Dynamics of the Nosé Oscillator: Stability, Order, and Chaos”, Physical Review A 33, 4253-4265 (1986).
  28. W. G. Hoover and C. G. Hoover Simulation and Control of Chaotic Nonequilibrium Systems (World Scientific, Singapore, 2015).
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