Geometry Optimizations
One of the primary applications of xtb is geometry optimization. It is useful for screening applications as well as optimizing structures that are too large for DFT methods.
A geometry optimization can be performed using:
xtb struc.xyz --opt
The result will be an xtbopt.xyz
file containing the optimized structure, along with an xtbopt.log
file that records the optimization trajectory.
Exercise
As a simple example, optimize the antibiotic Erythromycin using GFN2-xTB both in the gas phase and in water. Then, compare the structures using, for example, chimera opt1.xyz opt2.xyz
.
118
O 4.26440000000000 -1.56990000000000 -0.34490000000000
O 7.92700000000000 -0.12250000000000 -0.44840000000000
O 3.41730000000000 1.16910000000000 -0.99000000000000
O 2.39730000000000 -1.82520000000000 1.26840000000000
O 10.17090000000000 -0.48350000000000 -0.85500000000000
O 8.91880000000000 2.80460000000000 1.82790000000000
O 9.13500000000000 -3.71470000000000 -2.16640000000000
O 3.93160000000000 -4.59830000000000 0.03320000000000
O 11.85340000000000 -3.23740000000000 -2.24930000000000
O 7.98990000000000 6.36350000000000 1.26170000000000
O 5.96920000000000 4.46580000000000 0.49810000000000
O 4.97420000000000 5.36910000000000 -2.26340000000000
O 10.44260000000000 1.05070000000000 1.28770000000000
N 3.49140000000000 -5.27430000000000 2.89890000000000
C 5.09750000000000 -0.46240000000000 -0.59680000000000
C 5.86600000000000 -0.26170000000000 0.76850000000000
C 4.46530000000000 0.51430000000000 -1.56810000000000
C 7.28390000000000 0.30700000000000 0.74170000000000
C 5.42450000000000 1.66830000000000 -2.01690000000000
C 8.14030000000000 0.50530000000000 1.89920000000000
C 4.99270000000000 2.94860000000000 -2.70450000000000
C 3.32880000000000 -2.35700000000000 0.36040000000000
C 8.88690000000000 -0.33030000000000 -1.42210000000000
C 9.51740000000000 -2.50330000000000 -2.82370000000000
C 5.00600000000000 0.52240000000000 1.60190000000000
C 4.00010000000000 -3.59160000000000 0.93400000000000
C 8.55390000000000 -1.39220000000000 -2.44040000000000
C 3.47280000000000 -3.97810000000000 2.32720000000000
C 3.91240000000000 -0.07140000000000 -2.88880000000000
C 10.92160000000000 -2.24480000000000 -2.26560000000000
C 7.07640000000000 4.22890000000000 -1.61590000000000
C 8.31280000000000 5.00740000000000 0.81620000000000
C 2.04330000000000 -3.65290000000000 2.57210000000000
C 10.97560000000000 -1.54880000000000 -0.84590000000000
C 7.22350000000000 4.33390000000000 -0.08390000000000
C 5.71850000000000 4.25940000000000 -2.25400000000000
C 1.71150000000000 -2.19430000000000 2.29080000000000
C 8.62190000000000 4.13140000000000 1.99350000000000
C 9.20250000000000 1.47260000000000 1.61700000000000
C 8.61380000000000 -0.68340000000000 2.73730000000000
C 5.02960000000000 2.98340000000000 -4.22910000000000
C 9.67040000000000 -2.77650000000000 -4.28210000000000
C 8.18040000000000 3.61140000000000 -2.50390000000000
C 9.58400000000000 5.07560000000000 -0.02520000000000
C 9.41340000000000 4.75420000000000 3.18580000000000
C 12.26780000000000 -1.58200000000000 -0.03160000000000
C 0.18670000000000 -2.18280000000000 2.17010000000000
C 4.18330000000000 -5.57900000000000 4.13130000000000
C 2.93520000000000 -6.46980000000000 2.34360000000000
C 9.59160000000000 3.87000000000000 4.33510000000000
C 8.22720000000000 -4.68860000000000 -1.87620000000000
H 5.62510000000000 -1.05660000000000 -1.27140000000000
H 6.04430000000000 -1.12280000000000 1.31560000000000
H 7.09060000000000 1.23750000000000 0.29470000000000
H 6.23120000000000 1.11490000000000 -2.35190000000000
H 5.82290000000000 2.08150000000000 -1.23890000000000
H 7.54080000000000 0.89430000000000 2.58580000000000
H 4.09030000000000 2.98760000000000 -2.21720000000000
H 2.76750000000000 -2.57540000000000 -0.42310000000000
H 8.78140000000000 0.60370000000000 -1.77080000000000
H 4.81680000000000 1.42120000000000 1.04220000000000
H 4.09700000000000 0.20070000000000 1.81750000000000
H 5.32780000000000 1.23080000000000 2.29120000000000
H 5.01200000000000 -3.35430000000000 0.96310000000000
H 7.84880000000000 -1.98360000000000 -2.07750000000000
H 8.10860000000000 -1.37500000000000 -3.33950000000000
H 3.91850000000000 -3.29930000000000 3.04610000000000
H 3.90330000000000 0.67570000000000 -3.57990000000000
H 3.01720000000000 -0.54900000000000 -2.65790000000000
H 4.56270000000000 -0.64150000000000 -3.41820000000000
H 11.15010000000000 -1.46810000000000 -2.91730000000000
H 7.16300000000000 5.25590000000000 -1.63850000000000
H 1.37820000000000 -4.18890000000000 1.92740000000000
H 1.35430000000000 -4.05540000000000 3.29260000000000
H 10.18120000000000 -2.18400000000000 -0.34760000000000
H 7.33370000000000 3.34510000000000 0.27220000000000
H 2.23840000000000 -1.72750000000000 3.09190000000000
H 7.65610000000000 4.07040000000000 2.31210000000000
H 2.75670000000000 1.75560000000000 -0.64690000000000
H 7.84400000000000 -1.36950000000000 2.67580000000000
H 9.22390000000000 -1.34130000000000 2.24520000000000
H 9.07520000000000 -0.62810000000000 3.64400000000000
H 4.12830000000000 3.39440000000000 -4.60270000000000
H 5.27760000000000 2.06330000000000 -4.63060000000000
H 5.71460000000000 3.50080000000000 -4.66160000000000
H 10.29770000000000 -3.40840000000000 -4.67800000000000
H 10.18490000000000 -2.08580000000000 -4.84560000000000
H 8.72450000000000 -3.04850000000000 -4.67470000000000
H 8.57950000000000 2.86320000000000 -1.97260000000000
H 7.79590000000000 3.01370000000000 -3.19440000000000
H 8.92750000000000 4.03670000000000 -3.06310000000000
H 9.78460000000000 5.05950000000000 -1.02710000000000
H 10.25710000000000 4.40690000000000 0.36900000000000
H 10.03920000000000 5.94400000000000 0.14460000000000
H 9.14510000000000 5.79610000000000 3.26180000000000
H 10.39790000000000 4.93210000000000 2.89220000000000
H 12.70910000000000 -2.49690000000000 -0.14570000000000
H 12.89030000000000 -0.95050000000000 -0.50050000000000
H 11.94330000000000 -1.38770000000000 0.95820000000000
H -0.00370000000000 -2.14690000000000 3.19890000000000
H -0.50070000000000 -2.91210000000000 2.25380000000000
H -0.40130000000000 -1.53430000000000 1.67630000000000
H 3.74780000000000 -4.91470000000000 -0.74960000000000
H 12.53420000000000 -3.90340000000000 -2.18630000000000
H 8.26250000000000 7.16780000000000 1.47740000000000
H 5.53410000000000 5.07010000000000 0.99360000000000
H 4.61640000000000 -6.40430000000000 3.87950000000000
H 4.93160000000000 -4.83560000000000 4.10480000000000
H 3.47250000000000 -5.47980000000000 4.81950000000000
H 3.06230000000000 -7.30540000000000 3.01900000000000
H 3.76630000000000 -6.71150000000000 1.79720000000000
H 2.00780000000000 -6.63700000000000 1.90060000000000
H 9.74690000000000 4.03200000000000 5.37530000000000
H 10.20560000000000 3.07690000000000 4.43220000000000
H 8.72920000000000 3.32620000000000 4.51870000000000
H 7.59360000000000 -4.52570000000000 -1.18470000000000
H 8.71730000000000 -5.41920000000000 -1.50920000000000
H 7.61690000000000 -4.89310000000000 -2.60050000000000
You can monitor the structural changes during the geometry optimization by visualizing the xtbopt.log
file, which can be opened directly with, for example, molden xtbopt.log
.
The maximum number of geometry optimization cycles is determined automatically at runtime. If the number of cycles is still not enough, it can manually be adjusted using the --cycles <INTEGER>
flag.
Further Settings
The threshold for converging the geometry optimization can be set by providing a level after the optimization flag (--opt <level>
). The default level is sufficient for many screening applications, but if the xtb structures should be used for property computations, it might be a good idea to increase the thresholds to, e.g., tight
.
For more information on the available optimization levels and their default values, refer to the documentation.