BetaCitation Atlas

RESEARCH PAPER · Dandao Xuebao/Journal of Ballistics · 2024

Investigating the use of Deep Learning, in Materials Research for Predicting Material Properties, Identifying new Materials, and Optimizing Material Selection for Mechanical Components

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

Investigating the use of Deep Learning, in Materials Research for Predicting Material Properties, Identifying new Materials, and Optimizing Material Selection for Mechanical ComponentsOriginal27Chapter 2 Machine learning applications in material science: unveiling innovative solutions1Deep learning-based prediction of magnetic properties in electrodeposited Co–Ni alloy thin films0Magnetoelectrocatalysis at the frontier: advanced quantum materials, mechanistic insights, and application landscapes1Online Diagnosis and Monitoring of Stress Corrosion Cracking in Aggressive Environments Using Sensor Fusion and Intelligent Knowledge-Based Systems0

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. 27Chapter 2 Machine learning applications in material science: unveiling innovative solutions

    De Gruyter eBooks · 2025-06-25

    Leandro Rodrigues Oviedo, Maurício Dalla Costa Rodrigues da Silva, Pâmela Cristine Ladwig Muraro, Raisi Natalia Lenz Baldez, Tiago Moreno Volkmer, William Leonardo da Silva

    Read original paper ↗ ·
  2. Deep learning-based prediction of magnetic properties in electrodeposited Co–Ni alloy thin films

    Journal of Materials Science · 2025-09-18

    Hasan Güler, Rasim Özdemir, Adem Coşkun

    Read original paper ↗ ·
  3. Magnetoelectrocatalysis at the frontier: advanced quantum materials, mechanistic insights, and application landscapes

    Chemical Society Reviews · 2026-01-01

    Koushik Mitra, Saheli Samanta, Uttam Kumar Ghorai

    Read original paper ↗ ·
  4. Online Diagnosis and Monitoring of Stress Corrosion Cracking in Aggressive Environments Using Sensor Fusion and Intelligent Knowledge-Based Systems

    Advances in Science, Technology & Innovation/Advances in science, technology & innovation · 2026-01-01

    Hasan Hamdan, Mohammad A. AlKhedher

    Read original paper ↗ ·