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Hongxia Hao

Identifiers

  • name variant Hongxia Hao 0.60 · backfill

Papers (20)

  1. MatterSim-MT: A multi-task foundation model for in silico materials characterization cond-mat.mtrl-sci · 2026 · author #27
  2. Probing the Limit of Heat Transfer in Inorganic Crystals with Deep Learning cond-mat.mtrl-sci · 2025 · author #24
  3. UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials cs.LG · 2025 · author #20
  4. Nature Language Model: Deciphering the Language of Nature for Scientific Discovery cs.AI · 2025 · author #16
  5. MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures cond-mat.mtrl-sci · 2024 · author #21
  6. MatterGen: a generative model for inorganic materials design cond-mat.mtrl-sci · 2023 · author #18
  7. Overcoming the Size Limit of First Principles Molecular Dynamics Simulations with an In-Distribution Substructure Embedding Active Learner cond-mat.mtrl-sci · 2023 · author #5
  8. Benchmarking Inverse Optimization Algorithms for Materials Design cond-mat.mtrl-sci · 2023 · author #2
  9. Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning physics.chem-ph · 2023 · author #13
  10. NewtonNet: A Newtonian message passing network for deep learning of interatomic potentials and forces physics.chem-ph · 2021 · author #11
  11. QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo physics.comp-ph · 2020 · author #21
  12. Diels-Alder Reactions in Water are Determined by Microsolvation physics.chem-ph · 2019 · author #2
  13. Metal-Insulator and Magnetic Phase Diagram of Ca$_2$RuO$_4$ from Auxiliary Field Quantum Monte Carlo and Dynamical Mean Field Theory cond-mat.str-el · 2019 · author #1
  14. Auxiliary Field Quantum Monte Carlo for Multiband Hubbard Models: Controlling the Sign and Phase Problems to Capture Hund's Physics cond-mat.str-el · 2019 · author #1
  15. Accurate Predictions of Electron Binding Energies of Dipole-Bound Anions via Quantum Monte Carlo Methods physics.chem-ph · 2018 · author #1
  16. Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features cs.CV · 2018 · author #6
  17. QMCPACK : An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids physics.comp-ph · 2018 · author #17
  18. Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion cs.LG · 2017 · author #3
  19. Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer physics.med-ph · 2017 · author #1
  20. Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification cs.CV · 2015 · author #7

Mentions

  • 2503.06687 #20 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2502.07527 #16 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2503.11568 #24 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2312.03687 #18 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2309.02646 #2 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2311.08177 #5 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2306.05445 #13 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2108.02913 #11 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1911.02702 #1 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2003.01831 #21 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1809.02333 #6 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1911.03735 #2 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1902.01463 #1 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1809.09771 #1 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1709.09600 #1 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1802.06922 #17 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1710.01614 #3 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1507.00110 #7 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 1507.00110 #7 · backfill · confidence 0.70 Hongxia Hao
  • 2605.07927 #27 · arxiv_oai · confidence 0.70 Hongxia Hao
  • 2405.04967 #21 · arxiv_oai · confidence 0.70 Hongxia Hao

Frequent Coauthors