Our paper published in APL Machine Learning Permalink
Published:
Persistent homology as efficient phase descriptor for 2D skyrmion lattices is now out in APL Machine Learning.
Published:
Persistent homology as efficient phase descriptor for 2D skyrmion lattices is now out in APL Machine Learning.
Published:
the Poster Presentation Award at the 49th Annual Conference of the Magnetics Society of Japan for the work “Design of an Order Parameter for Skyrmion Lattice Systems Using Persistent Homology
Published:
Automated Identification of the Origin of Energy Loss… is now out in Scientific Reports.