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Integrating Materials and Manufacturing Innovation OnlineFirst articles

Open Access 16-04-2024 | Technical Article

Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants

The structure–property hypothesis says that the properties of all materials are determined by an underlying crystal structure. The main obstacle was the ambiguity of conventional crystal representations based on incomplete or discontinuous …

Authors:
Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin

Open Access 09-04-2024 | Thematic Section: Harnessing the Power of Materials Data

Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data

The development and discovery of new materials can be significantly enhanced through the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the establishment of a robust data infrastructure in support of …

Authors:
Kareem S. Aggour, Vijay S. Kumar, Vipul K. Gupta, Alfredo Gabaldon, Paul Cuddihy, Varish Mulwad

Open Access 03-04-2024 | Technical Article

Online Measurement for Parameter Discovery in Fused Filament Fabrication

To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying …

Authors:
Jake Robert Read, Jonathan E. Seppala, Filippos Tourlomousis, James A. Warren, Nicole Bakker, Neil Gershenfeld

25-03-2024 | Technical Article

Three-Dimensional Prediction of Lack-of-Fusion Porosity Volume Fraction and Morphology for Powder Bed Fusion Additively Manufactured Ti–6Al–4V

Powder bed fusion (PBF) is an additive manufacturing technique that has experienced widespread growth in recent years due to various process advantages. However, defects such as porosity and the effects that porosity have on the mechanical …

Authors:
Vamsi Subraveti, Brodan Richter, Saikumar R. Yeratapally, Caglar Oskay

25-03-2024 | Technical Article

A Comparative Study of Clustering Methods for Nanoindentation Mapping Data

Nanoindentation testing and instrumented indentation remain regularly utilized techniques for the assessment of multi-scale mechanical characteristics from load–displacement data analysis, which is central to twenty first century material …

Authors:
Mehrnoush Alizade, Rushabh Kheni, Stephen Price, Bryer C. Sousa, Danielle L. Cote, Rodica Neamtu

22-03-2024 | Thematic Section: Harnessing the Power of Materials Data

A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community

Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require …

Authors:
Sarah I. Allec, Eric S. Muckley, Nathan S. Johnson, Christopher K. H. Borg, Dylan J. Kirsch, Joshua Martin, Rohit Pant, Ichiro Takeuchi, Andrew S. Lee, James E. Saal, Logan Ward, Apurva Mehta

Open Access 19-03-2024 | Thematic Section: Harnessing the Power of Materials Data

High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models

Consolidating published research on aluminum alloys into insights about microstructure–property relationships can simplify and reduce the costs involved in alloy design. One critical design consideration for many heat-treatable alloys deriving …

Authors:
Luca Montanelli, Vineeth Venugopal, Elsa A. Olivetti, Marat I. Latypov