Author

Li-Jun Liu

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Sep 2026

Physical reservoir computing with nonlinear temperature characteristics of thermal conductivity

Physical reservoir computing (PRC) has emerged as a low-cost machine-learning framework for edge computing applications, where real-time processing and energy efficiency are critical due to the rapid growth of data generated by Internet-of-Things devices. This study proposes a PRC scheme based on nonlinear heat-conduct...

Seita Umemoto, Yudai Takeda, Yuki Matsunaga et al. · Applied Physics Letters · 0 citations

#graph neural networks Book Open access Sep 2026

AtomFlow: Accelerating GNN-Based Molecular Dynamics with ab initio Accuracy on Fugaku Supercomputer

This paper proposes AtomFlow, a holistic acceleration for a representative GNN-based MD model on the Fugaku supercomputer, and redesigns the inference workflow with a framework-free implementation to avoid the overhead of the PyTorch framework on Fugaku.

Yi-Ming Du, Ming-Zhen Li, Li-Jun Liu et al. · Proceedings of the Internati... · 0 citations

#edge computing Sep 2026

Physical reservoir computing using nonlinear heat conduction phenomena in alumina ceramic plates

Physical reservoir computing (PRC) has attracted considerable attention as a low-training-cost framework for edge computing. In this study, we propose a PRC system that uses nonlinear heat conduction in an alumina ceramic plate. In the proposed system, the input information is applied as heat, and the transient tempera...

Seita Umemoto, Yuki Matsunaga, Yasuaki Ikeda et al. · Journal of Applied Physics · 0 citations