Computational Engineering

Papers

• Are LLMs Socially Adaptive? Contrasting Belief Evolution in Large Language Models and Humans (2024)
  Yu Lei et al.
  5.40
• Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives (2026)
  Ibrahim Elsharkawy et al.
  4.39
• Graphical conditional generative modeling for digital twin modeling (2026)
  Zongren Zou et al.
  4.39
• Dynestyx: A Probabilistic Programming Library for Dynamical Systems (2026)
  Daniel Waxman et al.
  4.39
• Diffusion Models for Adaptive Sequential Data Generation (2026)
  Haoyang Cao et al.
  3.51
• Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces (2026)
  Han-Teng Liao et al.
  3.51
• Distilling latent electrostatics from foundation machine learning interatomic potentials (2026)
  Xiaoyu Wang et al.
  3.51
• GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation (2026)
  Cole Granger et al.
  3.51
• Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis (2026)
  Shaokun Lan et al.
  2.00
• UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation (2026)
  Du Yin et al.
  2.00
• DeepJEB++: Foundation Model-Driven Large-Scale 3D Engineering Dataset via 2D Latent Space Augmentation (2026)
  Soyoung Yoo et al.
  2.00
• On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins (2026)
  Lekshmi P et al.
  1.83