BetaCitation Atlas

RESEARCH PAPER · Materialia · 2022

Revisiting alloy design of low-modulus biomedical β-Ti alloys using an artificial neural network

Read original paper ↗

See where this research leads.

26 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

Revisiting alloy design of low-modulus biomedical β-Ti alloys using an artificial neural networkOriginalComputational intelligence based design of biomaterials15Design and Preparation of a Biomedical Titanium Alloy with Low Elastic Modulus and High Antibacterial Property Based on Ti-Mo-Ag System43Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys21A study on tensile flow and strain hardening behaviour of β-Titanium at elevated temperatures5A review on various phases and alloy design methods of β-Ti alloys for biomedical applications4Automatic Tumor Identification from Scans of Histopathological Tissues5Multiple Traditional and Deep Learning-based Prediction Models for Quantity of Domestic Mail0Intelligent prediction model of mechanical properties of ultrathin niobium strips based on XGBoost ensemble learning algorithm62Integrating machine learning and CALPHAD method for exploring low‐modulus near‐β‐Ti alloys47Integration of CALPHAD calculations and nanoindentation test for the design of low-modulus near-β titanium13Combination of ab initio descriptors and machine learning approach for the prediction of the plasticity mechanisms in β-metastable Ti alloys22Alloys innovation through machine learning: a statistical literature review14A framework for computer-aided high performance titanium alloy design based on machine learning9Effect of the Synergistic Interaction of Micro- and Nanostructures with Silver Ions on the Biocompatibility and Antimicrobial Properties of Ti-15Mo-2.5Ag11Comprehensive review of biological response, alloy design, strengthening mechanisms, performance evaluation, and surface modifications of titanium alloys for biomedical applications15Rethinking Biomedical Titanium Alloy Design: A Review of Challenges from Biological and Manufacturing Perspectives53Development and Characterization of as-cast Ti-20Ta-Nb Aiming Biomedical Applications33D ink-extrusion of elemental powders for high-compliance β-Ti microlattices1A multi-objective synergistic design for low modulus and high yield strength in complex concentrated alloys7Thermomechanical treatments and their effects on structure, microstructure, and select mechanical properties of β-type Zr-rich Ti–Zr–Mo alloys1Design and additive manufacturing of low-elastic-modulus β-titanium alloys for biomedical applications: from alloying theory to scaffold engineering1Machine learning-assisted exploration and experimental assessment of β-type Ti54-xZr15Nb14Mo17Cux alloy with an ultra-low modulus for orthopedic applications1Machine‑learning prediction of Young’s modulus in multi‑component titanium‑based biomedical alloys using extended thermodynamic descriptors0Amplifying the antimicrobial efficacy of titanium-copper alloys through blended powder laser powder bed fusion0Aging-induced α precipitation and strength–ductility balance in a vacuum-melted multicomponent metastable near-β titanium alloy0Microstructural complexity and mechanical behavior in Inconel 718-modified Ti6Al4V alloys manufactured by selective laser melting0

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

26 direct citing papers saved.

  1. Computational intelligence based design of biomaterials

    Computer Methods in Materials Science. · 2022-01-01

    A. Vinoth, Shubhabrata Datta

    Read original paper ↗ ·
  2. Design and Preparation of a Biomedical Titanium Alloy with Low Elastic Modulus and High Antibacterial Property Based on Ti-Mo-Ag System

    Journal of Alloys and Compounds · 2022-01-01

    Shenshen Cui, Shuo Liu, Jing‐Jun Nie, Dafu Chen, Xinbao Wu, Gaowu W. Qin, Erlin Zhang

    Read original paper ↗ ·
  3. Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys

    Metals · 2022-05-05

    Xingjun Liu, Qinghua Peng, Shaobin Pan, Jingtao Du, Shuiyuan Yang, Jiajia Han, Yong Lu, Jinxin Yu, Cuiping Wang

    Read original paper ↗ ·
  4. A study on tensile flow and strain hardening behaviour of β-Titanium at elevated temperatures

    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering · 2022-07-06

    Sandeep Pandre, Kurra Suresh, Swadesh Kumar Singh, Ravindran Sujith

    Read original paper ↗ ·
  5. A review on various phases and alloy design methods of β-Ti alloys for biomedical applications

    Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications · 2023-01-29

    Gouthamaraj Kanapaakala, Venkatesan Subramani

    Read original paper ↗ ·
  6. Automatic Tumor Identification from Scans of Histopathological Tissues

    Applied Sciences · 2023-03-29

    Mantas Kundrotas, Edita Mažonienė, Dmitrij Šešok

    Read original paper ↗ ·
  7. Multiple Traditional and Deep Learning-based Prediction Models for Quantity of Domestic Mail

    Highlights in Science Engineering and Technology · 2023-04-01

    Ruochen Xing

    Read original paper ↗ ·
  8. Intelligent prediction model of mechanical properties of ultrathin niobium strips based on XGBoost ensemble learning algorithm

    Computational Materials Science · 2023-10-19

    Zhenhua Wang, Yunfei Liu, Tao Wang, Jianguo Wang, Yuan Ming Liu, Qing Xue Huang

    Read original paper ↗ ·
  9. Integrating machine learning and CALPHAD method for exploring low‐modulus near‐β‐Ti alloys

    Rare Metals · 2023-11-10

    Hao Lin Zou, Yueyan Tian, Ligang Zhang, Ren‐Hao Xue, Zixuan Deng, Mingming Lu, Jianxin Wang, Libin Liu

    Read original paper ↗ ·
  10. Integration of CALPHAD calculations and nanoindentation test for the design of low-modulus near-β titanium

    Journal of Central South University · 2023-12-01

    Yueyan Tian, Kun-wei Jiang, Zi-xuan Deng, Kaige Wang, Hong‐yu Zhang, Libin Liu, Ligang Zhang

    Read original paper ↗ ·
  11. Combination of ab initio descriptors and machine learning approach for the prediction of the plasticity mechanisms in β-metastable Ti alloys

    Materials & Design · 2024-02-25

    Marion Coffigniez, Pierre-Paul De Breuck, Laurine Choisez, Matthieu Marteleur, Michiel J. van Setten, Guido Petretto, Gian‐Marco Rignanese, Pascal Jacques

    Read original paper ↗ ·
  12. Alloys innovation through machine learning: a statistical literature review

    Science and Technology of Advanced Materials Methods · 2024-03-04

    Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

    Read original paper ↗ ·
  13. A framework for computer-aided high performance titanium alloy design based on machine learning

    Frontiers in Materials · 2024-04-16

    Suyang An, Kun Li, Liang Zhu, Haisong Liang, Ruijin Ma, Ruobing Liao, Lawrence E. Murr

    Read original paper ↗ ·
  14. Effect of the Synergistic Interaction of Micro- and Nanostructures with Silver Ions on the Biocompatibility and Antimicrobial Properties of Ti-15Mo-2.5Ag

    ACS Applied Materials & Interfaces · 2024-08-17

    Ming Zhang, Shi Chang, Bing Bai, Gaowu W. Qin, Erlin Zhang

    Read original paper ↗ ·
  15. Comprehensive review of biological response, alloy design, strengthening mechanisms, performance evaluation, and surface modifications of titanium alloys for biomedical applications

    Multiscale and Multidisciplinary Modeling Experiments and Design · 2024-11-18

    Ranjan Kumar Mishra, Sarthak S. Singh

    Read original paper ↗ ·
  16. Rethinking Biomedical Titanium Alloy Design: A Review of Challenges from Biological and Manufacturing Perspectives

    Advanced Healthcare Materials · 2024-12-23

    Daisy Rabbitt, Victor Manuel Villapún, Luke Nelson Carter, Kenny Man, Morgan Lowther, P.L. O’Kelly, Alexander J. Knowles, Alessandro Mottura, Yuanbo Tony Tang, Lorenzo Luerti, Roger C. Reed, Sophie Constance Cox

    Read original paper ↗ ·
  17. Development and Characterization of as-cast Ti-20Ta-Nb Aiming Biomedical Applications

    Materials Research · 2025-01-01

    Marcia Almeida de Amaral Arcos da Silva, Israel Ramos Rodrigues, Giovana Collombaro Cardoso, Mariana Luna Lourenço, José Roberto Severino Martins Júnior, Pedro Akira Bazaglia Kuroda, Jaime Casanova, Carlos Roberto Grandini

    Read original paper ↗ ·
  18. 3D ink-extrusion of elemental powders for high-compliance β-Ti microlattices

    Journal of Materials Research and Technology · 2025-07-01

    Chun-Te Wu, Yu-Jen Tseng, Christoph Kenel, Y. T. Lin, Hung‐Wei Yen, David C. Dunand

    Read original paper ↗ ·
  19. A multi-objective synergistic design for low modulus and high yield strength in complex concentrated alloys

    npj Computational Materials · 2025-07-02

    Yin Qingfeng, Yuan Wu, Hong‐Hui Wu, Xiaobin Zhang, Suihe Jiang, Hui Wang, Xiongjun Liu, Zhaoping Lü

    Read original paper ↗ ·
  20. Thermomechanical treatments and their effects on structure, microstructure, and select mechanical properties of β-type Zr-rich Ti–Zr–Mo alloys

    Journal of Materials Research and Technology · 2025-12-29

    Israel Ramos Rodrigues, Renan Eduardo de Lima Lopes, Marília Afonso Rabelo Buzalaf, Diego Rafael Nespeque Corrêa, Carlos Roberto Grandini

    Read original paper ↗ ·
  21. Design and additive manufacturing of low-elastic-modulus β-titanium alloys for biomedical applications: from alloying theory to scaffold engineering

    Smart Materials in Manufacturing · 2026-01-01

    Junrui Zeng, Weiwei Xu, Zhukun Zhou, Wencheng Pan, Guangxian Li

    Read original paper ↗ ·
  22. Machine learning-assisted exploration and experimental assessment of β-type Ti54-xZr15Nb14Mo17Cux alloy with an ultra-low modulus for orthopedic applications

    Journal of Materials Science · 2026-01-04

    Jiantao Liu, Ni Jin, Y. Y. Zhang, Jun Cheng, Aofei Xu, Xingda Huang, Xudong Liu, Yixuan He

    Read original paper ↗ ·
  23. Machine‑learning prediction of Young’s modulus in multi‑component titanium‑based biomedical alloys using extended thermodynamic descriptors

    Science and Technology of Advanced Materials Methods · 2026-07-06

    Hassan Ahmad, Muhammad Haider, Zafar Iqbal, Muhammad Zarif, Syed Mujtaba ul Hassan

    Read original paper ↗ ·
  24. Amplifying the antimicrobial efficacy of titanium-copper alloys through blended powder laser powder bed fusion

    Microstructures · 2026-08-27

    Daisy Rabbitt, Kevin Couling, Lina Guan, René Daniel Pütz, Saman Nikpour, Victor Manuel Villapún, Luke Nelson Carter, Gregory J. Gibbons, Richard Hague, Jonathan Stevenson, Yolanda Susanne Hedberg, Alexander J. Knowles, Sophie C. Cox

    Read original paper ↗ ·
  25. Aging-induced α precipitation and strength–ductility balance in a vacuum-melted multicomponent metastable near-β titanium alloy

    Vacuum · 2026-09-24

    Lefeng Zhou, Jie Lan, Guangquan Ma, Zesheng Ji

    Read original paper ↗ ·
  26. Microstructural complexity and mechanical behavior in Inconel 718-modified Ti6Al4V alloys manufactured by selective laser melting

    Journal of Alloys and Compounds · 2026-10-01

    Ying-Chun Chao, Yun-Hao Lee, Chih-Yao Cheng, Jhong-Ren Huang, Pai-Chen Lin, Hung‐Wei Yen

    Read original paper ↗ ·