Evidence map›Paper›PMID 39526293›Full record

ArticleComputational and structural biotechnology journal2024

An AI-driven multiscale methodology to develop transparent wood as sustainable functional material by using the SSbD concept.

Päivi Kivikytö-Reponen, Stefania Fortino, Veera Marttila, Alexey Khakalo, Kari Kolari, Antti Puisto, Daniele Nuvoli, Alberto Mariani

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Päivi Kivikytö-ReponenVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Stefania FortinoVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Veera MarttilaVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Alexey KhakaloVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Kari KolariVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Antti PuistoVTT Technical Research Centre of Finland, VTT, PL 1000, 02044, Finland.
Daniele NuvoliUniversità degli Studi di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna, 2, 07100 Sassari, Italy.
Alberto MarianiUniversità degli Studi di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna, 2, 07100 Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient design, production, and optimization of new safe and sustainable by design materials for various industrial sectors is an on-going challenge for our society, poised to escalate in the future. Wood-based composite materials offer an attractive sustainable alternative to high impact materials such as glass and polymers and have been the focus of experimental research and development for years. Computational and AI-based materials design provides significant speed-up the development of these materials compared to traditional methods of development. However, reliable numerical models are essential for achieving this goal. The AI-TranspWood project, recently funded by the European Commission, has the ambition to develop such computational and AI-based tools in the context of transparent wood (TW), a promising composite with potential applications in various industrial fields. In this project we advance the development specifically by using an Artificial Intelligence (AI)-driven multiscale methodology.

Indexed as

AI-drivenFunctional materialMultiscale modelingSafe and sustainable by designSSbDTransparent wood

Identifiers

PMID39526293
PMCPMC11550186

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.