Papers

• Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts (2026)
  Ali Maghami et al.
  4.33
• DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design (2025)
  Xinling Yu et al.
  3.64
• Full-waveform earthquake source inversion using simulation-based inference (2024)
  A. A. Saoulis et al.
  2.49
• Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs (2026)
  Kamyar Barakati et al.
  1.61
• Cryo-EM as a Stochastic Inverse Problem (2025)
  Diego Sanchez Espinosa et al.
  1.39
• Hierarchical Dimensionless Learning (Hi-{\pi}): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations (2025)
  Mingkun Xia et al.
  1.28
• Quantum-Efficient Convolution through Sparse Matrix Encoding and Low-Depth Inner Product Circuits (2025)
  Mohammad Rasoul Roshanshah et al.
  1.28
• Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset (2022)
  Hiba Kobeissi et al.
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• Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning (2022)
  Maxim Ziatdinov et al.
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• Deep-XFCT: Deep learning 3D-mineral liberation analysis with micro X-ray fluorescence and computed tomography (2022)
  Patrick Kin Man Tung et al.
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• Nonlinear input feature reduction for data-based physical modeling (2022)
  Samir Beneddine
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• Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves (2022)
  Max Lamparth et al.
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• Combination of Raman spectroscopy and chemometrics: A review of recent studies published in the Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy Journal (2022)
  Yulia Khristoforova et al.
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• Neural Astrophysical Wind Models (2023)
  Dustin D. Nguyen
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• Segmenting mechanically heterogeneous domains via unsupervised learning (2023)
  Quan Nguyen et al.
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• Ab initio uncertainty quantification in scattering analysis of microscopy (2023)
  Mengyang Gu et al.
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• Revisiting Tensor Basis Neural Networks for Reynolds stress modeling: application to plane channel and square duct flows (2024)
  Jiayi Cai et al.
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• Predicting Exoplanetary Features with a Residual Model for Uniform and Gaussian Distributions (2024)
  Andrew Sweet
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• Machine learning from limited data: Predicting biological dynamics under a time-varying external input (2024)
  Hoony Kang et al.
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• Building robust surrogate models of laser-plasma interactions using large scale PIC simulation (2024)
  Nathan Smith et al.
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