Evidence map›Paper›PMID 40428991›Full record

ReviewMaterials (Basel, Switzerland)2025

Smart Manufacturing for High-Performance Materials: Advances, Challenges, and Future Directions.

Subin Antony Jose, Alex Tonner, Marc Feliciano, Teddy Roy, Aidan Shackleford, Pradeep L Menezes

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

6 authors.

Subin Antony JoseDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.
Alex TonnerDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.
Marc FelicianoDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.
Teddy RoyDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.
Aidan ShacklefordDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.
Pradeep L MenezesDepartment of Mechanical Engineering, University of Nevada-Reno, Reno, NV 89557, USA.ORCID 0000-0001-8030-8504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart manufacturing utilizes advanced computing technologies to enhance adaptability within traditional mass production systems. This enables the creation of highly specialized products on demand, maintaining efficiency and cost-effectiveness. Integrating these technologies with high-performance materials further accelerates the development and testing of innovative materials that support efficient and flexible manufacturing processes. This paper explores the critical technologies driving smart manufacturing and highlights advancements in manufacturing techniques that offer unprecedented design freedom. It also examines the challenges associated with scaling smart manufacturing solutions and presents case studies from industries that have successfully adopted these approaches. Lastly, the paper summarizes key findings and proposes future research directions to further advance the field of smart manufacturing.

Indexed as

artificial intelligenceindustrial roboticsInternet of Thingssmart manufacturing

Identifiers

PMID40428991
PMCPMC12112940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.