2 citations · 5 across the 4 of their papers we have counts for
4 papers
Generalizing Abell-Tersoff bond-order potential with explicit high-order many-body correlations for robust extrapolation of potential energy surfaces
Ikuma Kohata
Machine-learning interatomic potentials enable accurate and efficient atomistic simulations, yet their reliability for out-of-distribution configurations far beyond the training do…
Machine-Learned Bond-Order Potential for Exploring the Configuration Space of Carbon
Ikuma Kohata, Kaoru Hisama, Keigo Otsuka +1
Construction of transferable machine-learning interatomic potentials with a minimal number of parameters is important for their general applicability. Here, we present a machine-le…
Low-Temperature Synthesis of Weakly Confined Carbyne inside Single-Walled Carbon Nanotubes
Bo-Wen Zhang, Xi-Yang Qiu, Yicheng Ma +16
Carbyne, a one-dimensional (1D) carbon allotrope with alternating triple and single bonds, has the highest known mechanical strength but is unstable to bending, limiting synthesis…
Edge Dynamics in Iron-Cluster Catalyzed Growth of Single-Walled Carbon Nanotubes Revealed by Molecular Dynamics Simulations based on a Neural Network Potential
Ikuma Kohata, Ryo Yoshikawa, Kaoru Hisama +3
Given the high potential for applications utilizing the unique properties of single-walled carbon nanotubes (SWCNTs), there is considerable enthusiasm for addressing the challenges…