ReviewAdvanced materials (Deerfield Beach, Fla.)2021
Digital Transformation in Materials Science: A Paradigm Change in Material's Development.
Review in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Structure-Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles.Macromolecular rapid communications · 2026Article
- Towards a sustainable high-quality materials data ecosystem: frameworks and strategies.National science review · 2026Review
- An integrated data pipeline for semantic data representation of the flame spray pyrolysis process.F1000Research · 2025Article
- Semantic integration of diverse data in materials science: Assessing Orowan strengthening.Scientific data · 2024Article
- Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies.Beilstein journal of nanotechnology · 2024Article
- Exploration of Solution-Processed Bi/Sb Solar Cells by Automated Robotic Experiments Equipped with Microwave Conductivity.JACS Au · 2023Article
- Machine Learning Enabled Image Analysis of Time-Temperature Sensing Colloidal Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Automated Parallel Dialysis for Purification of Polymers.Polymers · 2022Article
- Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions.Chemistry of materials : a publication of the American Chemical Society · 2022Article
- Automation and Standardization-A Coupled Approach towards Reproducible Sample Preparation Protocols for Nanomaterial Analysis.Molecules (Basel, Switzerland) · 2022Article
- Data-Centric Architecture for Self-Driving Laboratories with Autonomous Discovery of New Nanomaterials.Nanomaterials (Basel, Switzerland) · 2021Article
- Enhanced Long-Term Reliability of Seal DeltaSpot Welded Dissimilar Joint between 6061 Aluminum Alloy and Galvannealed Steel via Excimer Laser Irradiation.Materials (Basel, Switzerland) · 2021Article
- Self-Driving Laboratories for Development of New Functional Materials and Optimizing Known Reactions.Nanomaterials (Basel, Switzerland) · 2021Review
- Digital Transformation in Materials Science: A Paradigm Change in Material's Development.Advanced materials (Deerfield Beach, Fla.) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The ongoing digitalization is rapidly changing and will further revolutionize all parts of life. This statement is currently omnipresent in the media as well as in the scientific community; however, the exact consequences of the proceeding digitalization for the field of materials science in general and the way research will be performed in the future are still unclear. There are first promising examples featuring the potential to change discovery and development approaches toward new materials. Nevertheless, a wide range of open questions have to be solved in order to enable the so-called digital-supported material research. The current state-of-the-art, the present and future challenges, as well as the resulting perspectives for materials science are described.
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Registered trials
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.