1. Konstanz, 14-18 September 2002 Potential Energy Landscape Equation of State Emilia La Nave, Francesco Sciortino, Piero Tartaglia (Roma) Stefano Mossa (Boston/Paris) 5th Liquid Matter Conference

2. Outline Brief introduction to the inherent-structure (IS) formalism (Stillinger&Weber) Statistical Properties of the Potential Energy Landscape (PEL). PEL Equation of State (PEL-EOS) Aging in the IS framework. Comparison with numerical simulation of aging systems.

3. IS P e  Statistical description of the number [  (e IS )de IS ], depth [e IS ] and volume [log(  )] of the PEL-basins Potential Energy Landscape

4. Thermodynamics in the IS formalism Stillinger-Weber F(T)=-k B T ln[  ( )]+f basin (,T) with f basin (e IS,T)= e IS +f vib (e IS,T) and S conf (T)=k B ln[  ( )] Basin depth and shape Number of explored basins

5. Real Space rNrN Distribution of local minima (e IS ) Vibrations (e vib ) + e IS e vib

6. F(T)=-k B T ln[  ( )]+f basin (,T) From simulations….. (T) (steepest descent minimization) f basin (e IS,T) (harmonic and anharmonic contributions) F(T) (thermodynamic integration from ideal gas) Data for two rigid-molecule models: LW-OTP, SPC/E-H 2 0 In this talk…..

7. Basin Free Energy  ln[  i (e IS )]=a+b e IS SPC/E LW-OTP normal modes f basin (e IS,T)= e IS +k B T  ln [h  j (e IS )/k B T] +f anharmonic (T) normal modes

8. The Random Energy Model for e IS Hypothesis: Predictions :  e IS )de IS = e  N -----------------de IS e -(e IS -E 0 ) 2 /2  2 2222  ln[  i (e IS )]=a+b e IS =E 0 -b  2 -  2 /kT S conf (T)=  N- ( -E 0 ) 2 /2  2 normal modes

9. T-dependence of SPC/E LW-OTP

10. (SPC/E) T-dependence of S conf (SPC/E)

11. The V-dependence of ,  2, E 0  e IS )de IS =e  N -----------------de IS e -(e IS -E 0 ) 2 /2  2 2222

12. Landscape Equation of State P=-∂F/∂V |T F(V,T)=-TS conf (T,V)+ +f vib (T,V) In Gaussian (and harmonic) approximation P(T,V)=P const (V)+P T (V) T + P 1/T (V)/T P const (V)= - d/dV [E 0 -b  2 ] P T (V) =R d/dV [  -a-bE 0 +b 2  2 /2] P 1/T (V) = d/dV [  2 /2R]

13. Comparing the PEL-EOS with Simulation Results (LW-OTP)

14. SPC/E Water P(T,V)=P const (V)+P T (V) T + P 1/T (V)/T

15. Conclusion I The V-dependence of the statistical properties of the PEL has been quantified for two models of molecular liquids Accurate EOS can be constructed from these information Interesting features of the liquid state (TMD line) can be correlated to features of the PEL statistical properties

16. Aging in the PEL-IS framework Starting Configuration (T i ) Short after the T-change (T i ->T f ) Long time TiTi TfTf TfTf

17. From Equilibrium to OOE…. P(T,V)= P conf (T,V)+ P vib (T,V) If we know which equilibrium basin the system is exploring… e IS acts as a fictive T ! e IS (V,T f ),V  P conf e IS (V,T f ),V,T  log(  )  P vib

18. Numerical Tests Heating a glass at constant P T P time

19. Liquid-to-Liquid T-jump at constant V P-jump at constant T

20. Conclusion II  The hypothesis that the system samples in aging the same basins explored in equilibrium allows to develop an EOS for OOE-liquids which depends on one additional parameter  Short aging times, small perturbations are consistent with such hypothesis. Work is requested to evaluate the limit of validity.  The parameter can be chosen as fictive T, fictive P or depth of the explored basin e IS

21. Perspectives  An improved description of the statistical properties of the potential energy surface.  Role of the statistical properties of the PEL in liquid phenomena  A deeper understanding of the concept of P conf and of EOS of a glass.  An estimate of the limit of validity of the assumption that a glass is a frozen liquid (number of parameters)  Connections between PEL properties and Dynamics

22. References and Acknowledgements We acknowledge important discussions, comments, criticisms from P. Debenedetti, S. Sastry, R. Speedy, A. Angell, T. Keyes, G. Ruocco and collaborators Francesco Sciortino and Piero Tartaglia Extension of the Fluctuation-Dissipation theorem to the physical aging of a model glass-forming liquid Phys. Rev. Lett. 86 107 (2001). Emilia La Nave, Stefano Mossa and Francesco Sciortino Potential Energy Landscape Equation of State Phys. Rev. Lett., 88, 225701 (2002). Stefano Mossa, Emilia La Nave, Francesco Sciortino and Piero Tartaglia, Aging and Energy Landscape: Application to Liquids and Glasses., cond-mat/0205071

23. Entering the supercooled region

24. Same basins in Equilibrium and Aging ?

25. f basin i (T)= -k B T ln[Z i (T)] all basins i f basin (e IS,T)= e IS + k B T   ln [h  j (e IS )/k B T] + f anharmonic (T) normal modes j Z(T)=  Z i (T)

26. e IS =  e i IS E 0 = =N e 1 IS  2 =  2 N =N  2 1 Gaussian Distribution ?

27. T-dependence of (LW-OTP)

28. Reconstructing P(T,V) P=-∂F/∂V F(V,T)=-TS conf (T,V)+ +f vib (T,V) P(T,V)= P conf (T,V) + P vib (T,V)

29. Numerical Tests Compressing at constant T PfPf T time PiPi