151 citations · 151 across the 4 of their papers we have counts for
4 papers
Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code
Zhenghan Song, Yulong Liu, Cheng Wan +4
Execution-based evaluation of LLM-generated code implicitly treats successful execution as a proxy for correctness. In scientific simulation, this proxy is insufficient: a generate…
Training the Next Generation of Seismologists: Delivering Research-Grade Software Education for Cloud and HPC Computing through Diverse Training Modalities
M. Denolle, C. Tape, E. Bozdağ +28
With the rise of data volume and computing power, seismological research requires more advanced skills in data processing, numerical methods, and parallel computing. We present the…
Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases
Congcong Yuan, Jie Zhang
The availability of a tremendous amount of seismic data demands seismological researchers to analyze seismic phases efficiently. Recently, deep learning algorithms exhibit a powerf…
Locating earthquakes with a network of seismic stations via a deep learning method
Xiong Zhang, Jie Zhang, Congcong Yuan +3
The accurate and automated determination of earthquake locations is still a challenging endeavor. However, such information is critical for monitoring seismic activity and assessin…