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Artificial intelligence approaches for energetic materials by design: state of the art, challenges, and future directions
Artificial intelligence (AI) is rapidly emerging as a enabling tool for solving complex materials
design problems. This paper aims to review recent advances in AI‐driven materials‐by …
design problems. This paper aims to review recent advances in AI‐driven materials‐by …
Concrete Compressive Strength Prediction Using Combined Non-Destructive Methods: A Calibration Procedure Using Preexisting Conversion Models Based on …
G Angiulli, S Calcagno, F La Foresta… - Journal of Composites …, 2024 - search.proquest.com
Non-destructive testing (NDT) techniques are crucial in making informed decisions about
reconstructing or repairing building structures. The SonReb method, a combination of the …
reconstructing or repairing building structures. The SonReb method, a combination of the …
Connected and shared X-in-the-loop technologies for electric vehicle design
V Ivanov, K Augsburg, C Bernad, M Dhaens… - World Electric Vehicle …, 2019 - mdpi.com
The presented paper introduces a new methodology of experimental testing procedures
required by the complex systems of electric vehicles (EV). This methodology is based on …
required by the complex systems of electric vehicles (EV). This methodology is based on …
[HTML][HTML] Exploring multi-fidelity data in materials science: Challenges, applications, and optimized learning strategies
Machine learning techniques offer tremendous potential for optimizing resource allocation in
solving real-world problems. However, the emergence of multi-fidelity data introduces new …
solving real-world problems. However, the emergence of multi-fidelity data introduces new …
[HTML][HTML] Multi-fidelity information fusion to model the position-dependent modal properties of milling robots
M Busch, MF Zaeh - Robotics, 2022 - mdpi.com
Robotic machining is a promising technology for post-processing large additively
manufactured parts. However, the applicability and efficiency of robot-based machining …
manufactured parts. However, the applicability and efficiency of robot-based machining …
[PDF][PDF] Multi-Fidelity Information Fusion to Model the Position-Dependent Modal Properties of Milling Robots. Robotics 2022, 11, 17
M Busch, MF Zaeh - 2022 - academia.edu
Robotic machining is a promising technology for post-processing large additively
manufactured parts. However, the applicability and efficiency of robot-based machining …
manufactured parts. However, the applicability and efficiency of robot-based machining …