Hi, energyone <br><br>I want use cp2k to optimzie the cell of TiO2, The following is the input file:<br><br>&FORCE_EVAL<br> STRESS_TENSOR ANALYTICAL<br> METHOD Quickstep<br> &DFT<br>   BASIS_SET_FILE_NAME /scratch/cp2k/BASIS_MOLOPT<br>   POTENTIAL_FILE_NAME /scratch/cp2k/GTH_POTENTIALS<br>   &MGRID<br>     CUTOFF 200<br>   &END MGRID<br>   &QS<br>     METHOD GPW<br>   &END QS<br>   &SCF<br>     EPS_SCF 5.E-7<br>     MAX_SCF 500<br>     &OT<br>       MINIMIZER CG<br>     &END<br>   &END SCF<br>   &XC<br>     &XC_FUNCTIONAL PBE<br>     &END XC_FUNCTIONAL<br>   &END XC<br> &END DFT<br> &SUBSYS<br>   &CELL<br>        ABC  4.594 4.594 2.959<br>        PERIODIC XYZ<br>   &END CELL<br>  &TOPOLOGY<br>   &END TOPOLOGY<br> &COORD<br>Ti   -0.0000   -0.0000    0.0000<br>Ti    2.2970    2.2970    1.4795<br>O     1.4003    1.4003    0.0000<br>O     3.1937    3.1937    0.0000<br>O     0.8967    3.6973    1.4795<br>O     3.6973    0.8967    1.4795<br>   &END COORD<br>    &KIND TI<br>    BASIS_SET DZVP-MOLOPT-SR-GTH<br>    POTENTIAL GTH-PBE-q12<br>   &END KIND<br>   &KIND O<br>    BASIS_SET DZVP-MOLOPT-SR-GTH<br>    POTENTIAL GTH-PBE-q6<br>   &END KIND<br> &END SUBSYS<br>&END FORCE_EVAL<br> &MOTION<br> &CELL_OPT<br>   KEEP_ANGLES .TRUE.<br>   OPTIMIZER CG<br>   &CG<br>    &LINE_SEARCH<br>     TYPE 2PNT<br>    &END LINE_SEARCH<br>   &END CG<br> &END CELL_OPT<br> &GEO_OPT<br>   OPTIMIZER BFGS<br> &END GEO_OPT<br> &END MOTION<br>&GLOBAL<br> PROJECT TiO2<br> RUN_TYPE CELL_OPT<br> PRINT_LEVEL LOW<br>&END GLOBAL<br><br><br>When completing, It give the cell parameters:<br>5.54 5.58 2.96<br>and the Coordinate:<br>Ti         0.4095385769        0.2898267710       -0.0352843895<br>Ti         3.1801930298        2.1516147238        1.4539613109<br> O         1.9175831463        1.4494611116       -0.0449395166<br> O         3.4936489849        3.0632060642       -0.0346941550<br> O         0.7216799169        4.9591730884        1.4533505831<br> O         4.6832547080        0.9868972431        1.4635018888<br><br>The a and b is remarkable larger than exp. value. More importantly, Some Ti-O bond are broken, see the fig. below:<br>  <img style="" src="data:image/png;base64,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" alt=""><br>Anyone can give suggestion about how to do it?<br>