BetaCitation Atlas

RESEARCH PAPER · International Journal of Solids and Structures · 2025

Predicting nanoscale stress-strain curves: A Gaussian processes within a Bayesian framework

Read original paper ↗

See where this research leads.

4 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Predicting nanoscale stress-strain curves: A Gaussian processes within a Bayesian frameworkOriginalA Novel Peridynamics Framework Integrating Data-Driven Constitutive Relation: Modeling Large Deformation and Asymmetric Damage of Strength-Heterogeneous Hyperelastic Materials0Machine learning-guided revelation of Detwinning-dominated cryogenic plasticity in Nano-twinned Cu-Ag alloys0Machine learning for predicting Young’s modulus of soft tissues based on appropriate contact model from atomic force microscopy data0LSTM-based prediction of mechanical performance of nanocrystalline Ni–Al alloys with diverse nanostructures0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

4 direct citing papers saved.

  1. A Novel Peridynamics Framework Integrating Data-Driven Constitutive Relation: Modeling Large Deformation and Asymmetric Damage of Strength-Heterogeneous Hyperelastic Materials

    SSRN Electronic Journal · 2026-01-01

    Luotang Ye, Junwen Chen, YanMao Chen, Jike Liu, Qixian Liu

    Read original paper ↗ ·
  2. Machine learning-guided revelation of Detwinning-dominated cryogenic plasticity in Nano-twinned Cu-Ag alloys

    Materials Characterization · 2026-03-09

    Pengtao Li, Chenke Ding, Yutong Song, Yihui Jiang, Fei Cao, Yanfang Wang, Zhongyi Ding, Yuanxi Liu, Ruihan Zhang, Yong Gao

    Read original paper ↗ ·
  3. Machine learning for predicting Young’s modulus of soft tissues based on appropriate contact model from atomic force microscopy data

    International Journal of Solids and Structures · 2026-08-22

    Maryam Abdoli, Moein Taheri

    Read original paper ↗ ·
  4. LSTM-based prediction of mechanical performance of nanocrystalline Ni–Al alloys with diverse nanostructures

    Journal of Materials Research and Technology · 2026-09-13

    Zhijia Qin, Sheng Zhang, Linli Zhu, Jiaqi Zhu, Dongfeng Li, Ligang Sun

    Read original paper ↗ ·