Contributors are essential to Materials Evaluation, driving the advancement of knowledge and innovation in NDT. By submitting your work, you join a dedicated community of professionals who share research, explore industry applications, and provide expert analysis—shaping and enriching the conversation in the field.
ASNT supports the responsible and transparent use of artificial intelligence in manuscript preparation. By submitting a manuscript, authors agree to comply with ASNT’s Policy on the Ethical Use of AI.
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Key Metrics and Editorial Insights
Authors published in Materials Evaluation reach a large and engaged audience of NDT professionals and are eligible for that year’s Outstanding Paper Award. Review our publications metrics and meet our editorial board, offering insights into the experts who will review your work.
Guidelines for Paper Submissions
Other Submissions
Open Call for Papers
We’re seeking experts to share their knowledge and insights on specific topics in Nondestructive Testing. If you have specialized expertise or groundbreaking research in the following topics, we invite you to contribute to Materials Evaluation.
Deadline: 1 January 2026
Publication Date: July 2026
Digital twins are rapidly transforming the landscape of nondestructive testing and evaluation (NDT/E) by enabling real-time, data-driven insights into the condition and performance of materials and structures. This special issue of Materials Evaluation, to be published in July 2026, aims to highlight recent advances and innovative applications of digital twin technology in NDT/E across diverse industries. By integrating physical systems with their virtual counterparts, digital twins facilitate predictive maintenance, optimize inspection strategies, and enhance decision-making for asset management.
We invite submissions that explore the development, implementation, and impact of digital twins in NDT/E. Topics of interest include the creation of high-fidelity digital models, integration of sensor data, real-time monitoring, and the use of artificial intelligence and machine learning to drive digital twin analytics. Papers that demonstrate the value of digital twins in improving reliability, reducing downtime, and supporting intelligent maintenance practices are especially encouraged. The goal is to showcase cutting-edge research and practical case studies that advance the state of the art in digital twin technology for NDT/E.
Potential topics include:
Development and validation of digital twins for NDT/E applications
Integration of sensor networks and real-time data acquisition
AI and machine learning for digital twin analytics
Predictive maintenance and asset management using digital twins
Simulation and modeling techniques for digital twins
Case studies of digital twin deployment in industry
Digital twins for structural health monitoring
Data fusion and interoperability in digital twin systems
Advances in visualization and user interfaces for digital twins
Cyber-physical security and data integrity in digital twin environments
Digital twins in support of NDE 4.0 and intelligent maintenance
Industrial application guidance from agencies like NASEM, NIST, DOD, and others
Role of technical societies such as ASNT
Each paper accepted will be assigned a DOI number. Technical Focus Issues of Materials Evaluation are published open access, ensuring high visibility for your paper. Accepted papers are also exempt from publication fees.
Submission Process
Submitted papers should not be under consideration for publication elsewhere. Before submission, please send a short abstract or tentative title to Ripi Singh, ripi@inspiringnext.com.
Technical Editors: Ripi Singh, joined by Sreenivas Alampalli and Samir Mustapha
Questions? Please contact Jill Ross at jross@asnt.org.
Deadline: 1 January 2026
Publication Date: July 2026
Digital twins are rapidly transforming the landscape of nondestructive testing and evaluation (NDT/E) by enabling real-time, data-driven insights into the condition and performance of materials and structures. This special issue of Materials Evaluation, to be published in July 2026, aims to highlight recent advances and innovative applications of digital twin technology in NDT/E across diverse industries. By integrating physical systems with their virtual counterparts, digital twins facilitate predictive maintenance, optimize inspection strategies, and enhance decision-making for asset management.
We invite submissions that explore the development, implementation, and impact of digital twins in NDT/E. Topics of interest include the creation of high-fidelity digital models, integration of sensor data, real-time monitoring, and the use of artificial intelligence and machine learning to drive digital twin analytics. Papers that demonstrate the value of digital twins in improving reliability, reducing downtime, and supporting intelligent maintenance practices are especially encouraged. The goal is to showcase cutting-edge research and practical case studies that advance the state of the art in digital twin technology for NDT/E.
Potential topics include:
Development and validation of digital twins for NDT/E applications
Integration of sensor networks and real-time data acquisition
AI and machine learning for digital twin analytics
Predictive maintenance and asset management using digital twins
Simulation and modeling techniques for digital twins
Case studies of digital twin deployment in industry
Digital twins for structural health monitoring
Data fusion and interoperability in digital twin systems
Advances in visualization and user interfaces for digital twins
Cyber-physical security and data integrity in digital twin environments
Digital twins in support of NDE 4.0 and intelligent maintenance
Industrial application guidance from agencies like NASEM, NIST, DOD, and others
Role of technical societies such as ASNT
Each paper accepted will be assigned a DOI number. Technical Focus Issues of Materials Evaluation are published open access, ensuring high visibility for your paper. Accepted papers are also exempt from publication fees.
Submission Process
Submitted papers should not be under consideration for publication elsewhere. Before submission, please send a short abstract or tentative title to Ripi Singh, ripi@inspiringnext.com.
Technical Editors: Ripi Singh, joined by Sreenivas Alampalli and Samir Mustapha
Questions? Please contact Jill Ross at jross@asnt.org.
