Articlenpj computational materials2019
New frontiers for the materials genome initiative.
Article in npj computational materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 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
73 citing papers in PubMed.
- Artificial Intelligence-Assisted Design of High-Entropy Oxide Catalysts.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design.Molecules (Basel, Switzerland) · 2026Review
- Lattice Genome Framework for Regionally Tailored Component-Level Multi-Objective Design in Additive Manufacturing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Computational Analysis of Balanites aegyptiaca Phytochemicals as Inhibitors of Human Pancreatic α-Amylase.Chemistry & biodiversity · 2026Article
- Rules of life at the interface of calcium signaling and mechanobiology.APL bioengineering · 2025Review
- Blockchain Technology for Big-data Sharing in Material Genome Engineering.Scientific data · 2025Article
- AI-Powered Workflow for Constructing Organic Materials Databases from the Literature: Integrating Large Language Models.ACS omega · 2025Article
- Design and optimization of imageable microspheres for locoregional cancer therapy.Scientific reports · 2025Article
- Chemistries Moonshot: An Entirely Recyclable Car.ACS central science · 2025Review
- Modeling the Structure-Property Linkages Between the Microstructure and Thermodynamic Properties of Ceramic Particle-Reinforced Metal Matrix Composites Using a Materials Informatics Approach.Materials (Basel, Switzerland) · 2025Article
- The role of surface deformation on responsivity of the pillared layer metal-organic framework DUT-8(Ni).Chemical science · 2025Article
- Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025Review
- Rethinking Biomedical Titanium Alloy Design: A Review of Challenges from Biological and Manufacturing Perspectives.Advanced healthcare materials · 2025Review
- Materials designed to degrade: structure, properties, processing, and performance relationships in polyhydroxyalkanoate biopolymers.Polymer chemistry · 2025Review
- Materials design for the synthesis of high strength radiopure copper alloys for rare event detection.Communications physics · 2025Article
- In-situ microscopy and digital image correlation to study the mechanical characteristics of polymer-based materials.Discover materials · 2025Review
- Data accessibility in the chemical sciences: an analysis of recent practice in organic chemistry journals.Beilstein journal of organic chemistry · 2025Article
- Scalable Accelerated Materials Discovery of Sustainable Polysaccharide-Based Hydrogels by Autonomous Experimentation and Collaborative Learning.ACS applied materials & interfaces · 2024Article
- Performance Prediction of High-Entropy Perovskites LaAdvanced materials (Deerfield Beach, Fla.) · 2024Article
- A Database of Stress-Strain Properties Auto-generated from the Scientific Literature using ChemDataExtractor.Scientific data · 2024Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
Abstract
The Materials Genome Initiative (MGI) advanced a new paradigm for materials discovery and design, namely that the pace of new materials deployment could be accelerated through complementary efforts in theory, computation, and experiment. Along with numerous successes, new challenges are inviting researchers to refocus the efforts and approaches that were originally inspired by the MGI. In May 2017, the National Science Foundation sponsored the workshop "Advancing and Accelerating Materials Innovation Through the Synergistic Interaction among Computation, Experiment, and Theory: Opening New Frontiers" to review accomplishments that emerged from investments in science and infrastructure under the MGI, identify scientific opportunities in this new environment, examine how to effectively utilize new materials innovation infrastructure, and discuss challenges in achieving accelerated materials research through the seamless integration of experiment, computation, and theory. This article summarizes key findings from the workshop and provides perspectives that aim to guide the direction of future materials research and its translation into societal impacts.
Identifiers
What OpenQuestion holds
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.