Computational archives

aiida Pockels nodes

The nodes.aiida archive contains 4 nodes with uuid:

• 8d041a2e-b260-4fc3-935c-0b53d78ee98a: P4_2nm KTN
• 058600d7-d412-4340-bc05-f3a42ac5a65b: Amm2 KNO
• 4f2f0dda-062b-4fc6-916c-1c84b239a0c0: distorted KTN
• 4f2f0dda-062b-4fc6-916c-1c84b239a0c0: distorted KNO How to import an aiida archive: https://aiida.readthedocs.io/projects/aiida-core/en/stable/howto/share_data.html#importing-an-archive

post-processing code

The two following python codes calculate the dynamical average of the Pockels tensor of KNO and KTN, respectively, based on their distorted structures. KNO_geometric_average_pockels.ipynb KTN_geometric_average_pockels.ipynb

Experimental archives

• ExperimentalDetails.docx describe the experimental setting parameters and resulting fitting parameters.
• Raman_data.dat, Reflectivitz_FIR.dat, and Reflectivity_MIR.dat are two-columns files with the frequency in cm^-1 on the left and the respective Raman or reflectivity data on the right.