publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Digit. Discov.
    Derivative-based pre-training of graph neural networks for materials property predictions
    Shuyi Jia, Akaash R Parthasarathy, Rui Feng, and 3 more authors
    Digital Discovery, 2024
  2. arXiv
    LLMatDesign: Autonomous Materials Discovery with Large Language Models
    Shuyi Jia, Chao Zhang, and Victor Fung
    arXiv preprint arXiv:2406.13163, 2024
  3. NREE
    Opportunities and challenges of graph neural networks in electrical engineering
    Eli Chien, Mufei Li, Anthony Aportela, and 8 more authors
    Nature Reviews Electrical Engineering, 2024
  4. arXiv
    Representation-space diffusion models for generating periodic materials
    Anshuman Sinha, Shuyi Jia, and Victor Fung
    arXiv preprint arXiv:2408.07213, 2024

2023

  1. APS
    Atomic structure generation from structural fingerprints
    Victor Fung, Shuyi Jia, and Ganesh Panchapakesan
    In APS March Meeting Abstracts, 2023

2022

  1. NoDy
    Periodic noise-induced framework for history-dependent Parrondo’s switching
    Shuyi Jia, Joel Weijia Lai, Jin Ming Koh, and 1 more author
    Nonlinear Dynamics, 2022
  2. MLST
    Atomic structure generation from reconstructing structural fingerprints
    Victor Fung, Shuyi Jia, Jiaxin Zhang, and 3 more authors
    Machine Learning: Science and Technology, 2022

2020

  1. Physica A
    Parrondo effect: exploring the nature-inspired framework on periodic functions
    Shuyi Jia, Joel Weijia Lai, Jin Ming Koh, and 2 more authors
    Physica A: Statistical Mechanics and its Applications, 2020