BetaCitation Atlas

RESEARCH PAPER · Advanced Materials · 2026

Generative Design for Alloys: Harnessing Generative Models for Faster Discovery

Li Cheng, Yuehui Xian, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue

Read original paper ↗

See where this research leads.

6 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

Generative Design for Alloys: Harnessing Generative Models for Faster DiscoveryOriginalFrom prediction to materials design: machine learning in electrocatalytic water splitting1Machine Learning and Artificial Intelligence in Metallic Orthopedic Implant Development: A Narrative Review1First-Principles Study on Silicon Stabilization of the Cubic α- and Hexagonal α’-FeAl Phases2Generative Adversarial Network‐Based Microstructure Prediction of Crystallization in Sodium Borosilicate Glass0Generative AI in Manufacturing and Industrial Contexts: A Systematic Review of Applications, Challenges, and Future Directions0Generative artificial intelligence for nanomaterial discovery and nanoengineering: From data-driven design to autonomous laboratories0

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

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

6 direct citing papers saved.

  1. From prediction to materials design: machine learning in electrocatalytic water splitting

    Chemical Communications · 2026-01-01

    Pitchai Chandrasekaran, Ting-Yu Lo, Yu-Ting Hsu, I Chen, Hung‐Chung Li, Chih‐Ming Chen

    Read original paper ↗ ·

  2. Machine Learning and Artificial Intelligence in Metallic Orthopedic Implant Development: A Narrative Review

    Materials · 2026-07-14

    Prajwal Guruprasad, Pranav Sivaram, Andrew Cibik, Pierce T Bombard, Albert Thomas Anastasio

    Read original paper ↗ ·

  3. First-Principles Study on Silicon Stabilization of the Cubic α- and Hexagonal α’-FeAl Phases

    Metals · 2026-07-30

    Changming Fang, Zhongping Que, Z. Fan

    Read original paper ↗ ·

  4. Generative Adversarial Network‐Based Microstructure Prediction of Crystallization in Sodium Borosilicate Glass

    Journal of the American Ceramic Society · 2026-08-01

    Wei‐Feng Kao, Yu‐Tzu Huang, Hsin‐An Chen, Yunfeng Shi, Yueh‐Ting Shih

    Read original paper ↗ ·

  5. Generative AI in Manufacturing and Industrial Contexts: A Systematic Review of Applications, Challenges, and Future Directions

    Electronics · 2026-08-06

    Galina Ilieva, Yuliy Iliev

    Read original paper ↗ ·

  6. Generative artificial intelligence for nanomaterial discovery and nanoengineering: From data-driven design to autonomous laboratories

    Next Nanotechnology · 2026-09-05

    Vilas A. Chavan

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.