Decreasing KPOINTS and/or ENCUT in a NEB run
Posted: Fri Mar 18, 2016 1:35 am
Good morning to everyone.
I'm not a really experienced user of VASP and so I'm asking for a bit of help.
Basically, I'm dealing with a supported metallic cluster (slab calculations, with approximately 100 atoms). After benchmarking, I've chosen a 4x4x1 k-point mesh and an ENCUT value of 500 eV. Everything seems to run fine, regarding the energy minimization; however, when performing NEB calculations (7 images) it seems the number of processors and/or memory reserved is not enough to handle the calculation (16 processors per image). Indeed the program exit abruptly without entering the first SCF cycle. I'm pretty sure that it's something related to memory, since I've run the same calculation on external resources with more powerful machines and everything runs perfectly.
I arrive to the point. Both for solving this problem but also for general speed-up, is it generally accepted to decrease the number of k-points and/or ENCUT for the solely NEB run, maintaining as end points the structures optimized at a higher level of accuracy? If yes, I guess I have to reoptimize the endpoints with the new set of parameters, insn't it? A final consideration: dealing with extremely localized processes (bond breaking occuring onto a cluster) is it correct to argue that decreasing the k-points toward the extreme limit of the gamma point it won't affect so much the energy barrier?
Thanks in advance.
I'm not a really experienced user of VASP and so I'm asking for a bit of help.
Basically, I'm dealing with a supported metallic cluster (slab calculations, with approximately 100 atoms). After benchmarking, I've chosen a 4x4x1 k-point mesh and an ENCUT value of 500 eV. Everything seems to run fine, regarding the energy minimization; however, when performing NEB calculations (7 images) it seems the number of processors and/or memory reserved is not enough to handle the calculation (16 processors per image). Indeed the program exit abruptly without entering the first SCF cycle. I'm pretty sure that it's something related to memory, since I've run the same calculation on external resources with more powerful machines and everything runs perfectly.
I arrive to the point. Both for solving this problem but also for general speed-up, is it generally accepted to decrease the number of k-points and/or ENCUT for the solely NEB run, maintaining as end points the structures optimized at a higher level of accuracy? If yes, I guess I have to reoptimize the endpoints with the new set of parameters, insn't it? A final consideration: dealing with extremely localized processes (bond breaking occuring onto a cluster) is it correct to argue that decreasing the k-points toward the extreme limit of the gamma point it won't affect so much the energy barrier?
Thanks in advance.