6 citations · 7 across the 4 of their papers we have counts for
4 papers
MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics
Andy Nonaka, Yingheng Tang, Julian C. LePelch +7
In order to comprehensively investigate the multiphysics coupling in spintronic devices, it is essential to parallelize and utilize GPU-acceleration to address the spatial and temp…
HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
Jialin Song, Yingheng Tang, Pu Ren +8
Simulating hybrid magnonic quantum systems remains a challenge due to the large disparity between the timescales of the two systems. We present a massively parallel GPU-based simul…
MatterChat: A Multi-Modal LLM for Material Science
Yingheng Tang, Wenbin Xu, Jie Cao +6
Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, an…
Optical Neural Engine for Solving Scientific Partial Differential Equations
Yingheng Tang, Ruiyang Chen, Minhan Lou +5
Solving partial differential equations (PDEs) is the cornerstone of scientific research and development. Data-driven machine learning (ML) approaches are emerging to accelerate tim…