857 citations · 969 across the 5 of their papers we have counts for
5 papers
ORACLE: Time-Dependent Recursive Summary Graphs for Foresight on News Data Using LLMs
Lev Kharlashkin, Eiaki Morooka, Yehor Tereshchenko +1
ORACLE turns daily news into week-over-week, decision-ready insights for one of the Finnish University of Applied Sciences. The platform crawls and versions news, applies Universit…
High-performance descriptor for magnetic materials: Accurate discrimination of magnetic structure
Michi-To Suzuki, Takuya Nomoto, Eiaki V. Morooka +2
The magnetic structure is crucial in determining the physical properties inherent in magnetic compounds. We present an adequate descriptor for magnetic structure with proper magnet…
Updates to the DScribe Library: New Descriptors and Derivatives
Jarno Laakso, Lauri Himanen, Henrietta Homm +4
We present an update of the DScribe package, a Python library for atomistic descriptors. The update extends DScribe's descriptor selection with the Valle-Oganov materials fingerpri…
Influence of electron-phonon coupling strength on signatures of even and odd-frequency superconductivity
Alex Aperis, Eiaki Morooka, Peter M. Oppeneer
The recently discovered APtP (A=Sr,Ca,La) family of superconductors offers a platform to study frequency dependent superconducting phenomena as the electron-phonon coupling var…
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka +5
DScribe is a software package for machine learning that provides popular feature transformations ("descriptors") for atomistic materials simulations. DScribe accelerates the applic…