TherMOF

Investigating thermal transport in Metal-Organic Frameworks

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TherMOF
Methods
Results

Screening Tests

Initial tests to identify optimum procedure for large scale screening of CoRE database.

Thermal Conductivity

For most MOFs there is no apparent effect of procedure on thermal conductivity. However, for some MOFs (especially when the force field does not represent the structure well) the initial geometry can be different than final geometry which effects phonon scattering rates and consequently thermal conductivity. This can be seen in MOF-200 by looking at heat flux autocorrelation functions.

Volume change

Volume change can be a result of force field minimization as well as thermal expansion. It significantly effects structure geometry and consequently thermal transport. Here I have tried using only minimization (MIN), only NPT (NPT) and both (MIN+NPT) to see how they affect the final volume of the structure. For most cases, the volume change is similar between three procedures, however for some MOFs high thermal expansion is observed (LKLIN, BAZGAM, KOTSIX, ABEXIQ). This might even result in minimization shrinking the volume and NPT increasing the volume compared to initial geometry or vice versa.

Wall time

As expedcted, wall time increases with number of atoms, and the procedure with most time steps (MIN+NPT) is the most expensive. For irregularities (e.g. MOF-200, KOTSIX) I believe the cluster network communication is to blame.

Computational Resource

Wall time

Thermal conductivity

Volume change

Number of steps

Volume change

Wall time

Thermal conductivity

Heat flux autocorrelation

Procedure 0 (NVT | NVE)

Procedure 1 (NPT | NVT | NVE)

Procedure 2 (MIN | NVT | NVE)

Procedure 3 (MIN | NPT | NVT | NVE)

Thermal expansion

I have looked into calculating thermal expansion from the volume and enthalpy fluctuations during an NPT simulation. Here is more information on the calculation.

Volume change (YASLUA)

Before recording enthalpy and volume I ran minimization (MIN) and an equilibration NPT (NPT1). Then by changing the number of steps for production NPT (NPT2) we can see the volume change does not reqlly converge that easily.

Volume vs time during NPT2

Thermal expansion (YASLUA)

The convergence is also an issue here as it seems like after 3x106 timesteps we start observing positive thermal expansion? Moreover, the thermal expansion values seen here are orders of magnitude larger than what is typically observed for MOFs (1x10-5 1/K).

Thermal conductivity (YASLUA)

Tables

Thermal conductivity

MOFs k (W/mK) - P0 k (W/mK) - P1 k (W/mK) - P2
YASLUA 0.136772 0.21259 0.194549
TIVFAG 1.05043 0.84558 0.989194
KOTSIX 0.695291 0.663363 0.707111
BAZGAM 0.259037 0.16443 0.265532
KAVLID 1.97645 1.82541 1.71133
UIO-66 0.868001 0.868322 0.869356
MOF-200 0.280038 -0.0720143 0.529195
MIBQAR01 0.67421 0.520306 0.558647
ABEXIQ 0.798137 0.753924 0.617633
IRMOF-1 0.624206 0.534997 0.462318
LUKLIN 0.334687 0.287491 0.402686

Volume change

MOFs dV (%) - P0 dV (%) - P1 dV (%) - P2
YASLUA 0 -29.935 -29.276
TIVFAG 0 -4.113 -3.811
KOTSIX 0 0.961 -2.498
BAZGAM 0 -2.753 0.673
KAVLID 0 -4.026 -4.562
UIO-66 0 -5.67 -5.437
MOF-200 0 -20.028 -18.876
MIBQAR01 0 -8.419 -7.541
ABEXIQ 0 -22.139 -17.819
IRMOF-1 0 -7.666 -6.993
LUKLIN 0 -11.695 0.815

Wall time

MOFs N atoms Time (mins) - P0 Time (mins) - P1 Time (mins) - P2
YASLUA 2400 39.1833 61.6 76.05
TIVFAG 2576 139.367 176.45 169.283
KOTSIX 2862 147.933 329.667 181.183
BAZGAM 3392 24.1333 29.0167 36.35
KAVLID 5088 167.583 207.617 181.433
UIO-66 6272 92.4667 114.95 104.117
MOF-200 10800 177.167 185.983 395.767
MIBQAR01 11664 29.5167 40.5333 30.75
ABEXIQ 11800 97.7167 140.7 123.767
IRMOF-1 13568 27 33.4667 28.95
LUKLIN 14400 26.0333 31.3667 27.05