36 citations · 36 across the 6 of their papers we have counts for
3 papers · 1 filter
Why is topology hard to learn?
D. O. Oriekhov, Stan Bergkamp, Guliuxin Jin +5
Much attention has been devoted to the use of machine learning to approximate physical concepts. Yet, due to challenges in interpretability of machine learning techniques, the ques…
Topological finite size effect in one-dimensional chiral symmetric systems
Guliuxin Jin, D. O. Oriekhov, Lukas Johannes Splitthoff +1
Topological phases of matter have been widely studied for their robustness against impurities and disorder. The broad applicability of topological materials relies on the reliable…
Topological dynamics of gyroscopic and Floquet lattices from Newton's laws
Ching Hua Lee, Guangjie Li, Guliuxin Jin +2
Despite intense interest in realizing topological phases across a variety of electronic, photonic and mechanical platforms, the detailed microscopic origin of topological behavior…