Scholars@Duke publication: Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning

Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning

Publication , Journal Article

Peloquin, J; Kirillova, A; Rudin, C; Brinson, LC; Gall, K

Duke Scholars

Author Cynthia D. Rudin Computer Science

Author L. Catherine Brinson Thomas Lord Department of Mechanical Engineering and Materia ...

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Peloquin, J., Kirillova, A., Rudin, C., Brinson, L. C., & Gall, K. (n.d.). Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning.

Peloquin, Jacob, Alina Kirillova, Cynthia Rudin, L Catherine Brinson, and Ken Gall. “Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning,” n.d.

Peloquin J, Kirillova A, Rudin C, Brinson LC, Gall K. Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning.

Peloquin, Jacob, et al. Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning.

Peloquin J, Kirillova A, Rudin C, Brinson LC, Gall K. Prediction of 3d Printed Photopolymer Lattice Mechanical Performance Using Structural Porosity, Base Material Properties, and Machine Learning.