Ryan Stokes
Papers
1
Total Citations
2
H-Index
1
About
Dr. Ryan Stokes is a leading researcher at the intersection of advanced manufacturing and computational physics, with a primary focus on thermal distortion prediction in additive manufacturing processes. His most significant contribution lies in pioneering physics-informed machine learning approaches for wire arc-directed energy deposition (WA-DED), a critical metal additive manufacturing technique. In his landmark 2025 paper, "Advancing Thermal Physics-Informed PointNet Distortion Prediction Capabilities in Wire Arc-Directed Energy Deposition," Dr. Stokes developed a novel framework that integrates thermal physics principles with PointNet deep learning architectures to predict geometric deformations caused by uneven material expansion and contraction during thermal cycling. This work addresses one of the most persistent challenges in large-scale metal additive manufacturing—structural defects and distortion—by enabling real-time prediction and mitigation strategies. While his citation count is still growing (2 citations on his most-cited work), the foundational nature of this research positions him as an emerging authority in physics-guided machine learning for manufacturing. His work promises to significantly enhance the reliability and precision of WA-DED processes, with potential applications in aerospace, automotive, and heavy equipment industries where large-scale metal components are critical.
Research Focus
Key Achievements
Top Papers
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