post_thumbnail
Data-Driven Materials Investigations: The Next Frontier in Understanding and Predicting Fatigue Behavior
In general, data-driven approaches aim to identify objectively (relying largely on the available data) the embedded correlations among selected inputs and outputs needed to study or model a given...
Papers By Citrine
The 2019 Materials by Design Roadmap
Advances in renewable and sustainable energy technologies critically depend on our ability to design and realize materials with optimal properties. Materials discovery and design efforts ideally involve close coupling...
Papers By Citrine
Strategies for accelerating the adoption of materials informatics
Ongoing, rapid innovations in fields ranging from microelectronics, aerospace, and automotive to defense, energy, and health demand new advanced materials at even greater rates and lower costs. Traditional materials...
Papers By Citrine
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
Traditional machine learning (ML) metrics overestimate model performance for materials discovery. We introduce (1) leave-one-cluster-out cross-validation (LOCO CV) and (2) a simple nearest-neighbor benchmark to show that model performance...
Papers By Citrine
Materials Data Infrastructure and Materials Informatics
Data-driven materials research requires two key supporting components: data infrastructure and informatics. In this chapter, we review the state of the art in materials data infrastructure, focusing in detail...
Papers By Citrine
Overcoming data scarcity with transfer learning
In this paper, we describe and compare three techniques for transfer learning: multi-task, difference, and explicit latent variable architectures.
Papers By Citrine
Building Data-driven Models with Microstructural Images: Generalization and Interpretability
This paper explores the use of convolutional neural networks for classifying microstructure.
Papers By Citrine
post_thumbnail
3D Printing of High-Strength Aluminum Alloys
3D printing, or additive manufacturing, of metals uses a direct energy source, such as a laser or electron beam, to alloy powders, but has succeeded for only a few...
Papers Mentioning Citrine
post_thumbnail
3D Printing of High-Strength Aluminium Alloys
Metal-based additive manufacturing, or three-dimensional (3D) printing, is a potentially disruptive technology across multiple industries, including the aerospace, biomedical and automotive industries. Building up metal components layer by layer...
Papers By Citrine
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates
The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and error, and luck. We propose...
Papers By Citrine