Frantsevych Institute for Problems of Materials Science of NAS of Ukraine is a leading center of scientific and technical developments in the field of theoretical foundations of new materials formation, technology for production and manufacture of products from these materials with special properties to meet the needs of nuclear energy, electronics, aircraft, general chemical, transport and agricultural engineering , direct conversion of energy into electrical, quantum electronics, instrument engineering, automation and other fields of technology. The Institute carries out fundamental research and technological developments in the fields of: powder metallurgy and composite materials; physical chemistry of inorganic compounds and solid chemistry; soldering of dissimilar materials; solid state physics; physics of high pressure phases; physicochemistry and technology of structural and functional ceramics; nanostructured materials. The institution has developed the scientific basis of advanced technologies for obtaining, processing and combining materials with a specified set of properties.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

511 to 520 of 548 Results
Fixed Field Text Data - 3.3 KB - MD5: 1131cde9301d47b19cdcafc8c0ec8bad
Observables resulting from the DMFT calculation. Spin-up.
Fixed Field Text Data - 3.3 KB - MD5: c1f031e85a6cebf0c67f73ab54c938dd
Observables resulting from the DMFT calculation. Spin-up.
Fixed Field Text Data - 3.3 KB - MD5: e5a32fdefbf8f645d56bf4033cdac80d
Observables resulting from the DMFT calculation. Spin-up.
Fixed Field Text Data - 3.3 KB - MD5: 5cca143be7ab7a741a1bf0b4a51087d1
Observables resulting from the DMFT calculation. Spin-up.
Fixed Field Text Data - 3.3 KB - MD5: dc51c07d1da4f9e6fcd6331156c4d688
Observables resulting from the DMFT calculation. Spin-up.
Fixed Field Text Data - 3.3 KB - MD5: 18e8bd0f035f189ce61d2336254a1f7e
Observables resulting from the DMFT calculation. Spin-up.
Adobe PDF - 101.3 KB - MD5: ce47f23b155910682fd751e6cb19a87d
plots
Fig. 6.
Python Source Code - 3.5 KB - MD5: 93757bc7576eb51b6d44d9077ffccbbd
plots
Script to produce Fig. 6.
JPEG Image - 758.6 KB - MD5: 48ba617969a5a2624a92b583fa471683
Dataimagespectra lines
JPEG Image - 687.2 KB - MD5: 22d326c4764483b3de0dc0c2a77fc6c0
AgDataimagespectra lines
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.