Data-Driven Design and Fabrication of Heat-Resistant, Ultrastrong, Lightweight Aluminum-Based Entropy Alloy by Additive Manufacturing.

Enmao Wang, Chao Ding, Danyang Zhou, Chenjin Xu, Swee Leong Sing, Jianzhong Jiang, Huibin Wu

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Enmao WangCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China.

Chao DingCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China.

Danyang ZhouCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China.

Chenjin XuCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China.

Swee Leong SingDepartment of Mechanical Engineering, National University of Singapore, Singapore, 117575, Singapore.

Jianzhong JiangSchool of Materials Science and Engineering, Fuyao University of Science and Technology, Fuzhou, Fujian, 350109, China.

Huibin WuCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China.ORCID https://orcid.org/0000-0003-1417-9294

Funding

Department of Science and Technology of Fuzhou city 2024-SG-004Department of Science and Technology of Fuzhou city 2024-Y-017 2024-SG-003National Natural Science Foundation of China 12275237National Natural Science Foundation of China 52371165National Science and Technology Major Project 2024ZD0601200

6 · The paper itself

Abstract

Additive manufacturing (AM) of heat-resistant high-strength aluminum (Al) alloys for load-bearing components faces a fundamental dichotomy: traditional high-strength compositions suffer from hot cracking, while printable alloys lack sufficient high-temperature strength. This inherent conflict severely restricts the design space for novel alloys in demanding applications like aerospace. Addressing this challenge, a data-driven design strategy leveraging quantum machine learning (QML) and high-throughput computing identifies an ultrastrong Al

Indexed as

additive manufacturingdata‐driven designheat‐resistanthierarchical nanostructureslightweight aluminum‐based entropy alloys

Identifiers

PMID41566648

DOI10.1002/advs.202522817

PMCPMC13045303

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.