Toward the Autonomous Materials Research using Large Open Data and Generative Models (AMROG)

The main goal of the "Toward the Autonomous Materials Research using Large Open Data and Generative Models (AMROG)" (Project No. P-ITP-24-9 under the grant agreement with the Lithuanian Research Council) project is to develop an effective autonomous workflow for designing and preparing novel inorganic materials using open databases and generative machine learning. 

This project is also part of the activities related to the establishment of the FTMC Autonomous Materials Lab (FTMC-AML) which is internally supported by the Center for Physical Sciences and Technology (FTMC).

AMROG Project Members

• Dr. Linas Vilčiauskas (PI)

• Dr. Jurgis Pilipavičius

• Dr. Justinas Šlepavičius

• Dr. Denis Gryaznov

• Dr. Saulius Gražulis

• Dr. Andrius Merkys

• Dr. Rokas Silkinis

• Antanas Vaitkus

• Gabrielius Mockus

• Dovilė Škarnulytė

News

• 09/10/2026 Another preprint is out on "Assessing the Reliability of Foundational Machine Learning Potentials for Evaluating the Veracity of the Crystallography Open Database"  doi:10.48550/arXiv.2610.11246

• 08/10/2026 New preprint on the work on Zn-based Prussian Blue Analog materials "Spin states, electronic structure and phonon properties of ZnxFe[Fe(CN)6] (x = 0 – 1) by hybrid density functional theory". doi:10.26434/chemrxiv.15010081/v1

• 01/01/2026 Powder X-Ray Diffraction Station is successfully installed

• 01/07/2025 Automatic Dosing Station is successfully installed.

• 01/10/2024 The AMROG project has officially kicked off.