John D. Shimanek

Correlation analysis of materials properties by machine learning: illustrated with stacking fault energy from first-principles calculations in dilute fcc-based alloys

Xiaoyu Chong, Shun‐Li Shang, Adam M. Krajewski et al. · Journal of Physics Condensed Matter · 2021 · 35 citations

Natural Sciences, Materials Engineering, Materials Science +17

An Image-Based Transfer Learning Approach for Using <i>In Situ</i> Processing Data to Predict Laser Powder Bed Fusion Additively Manufactured Ti-6Al-4V Mechanical Properties

Qixiang Luo, John D. Shimanek, Timothy W. Simpson et al. · 3D Printing and Additive Manufacturing · 2024 · 23 citations · Full text

Computing, Materials Engineering, Materials Science +17

Insight into ideal shear strength of Ni-based dilute alloys using first-principles calculations and correlational analysis

John D. Shimanek, Shun‐Li Shang, Allison M. Beese et al. · Computational Materials Science · 2022 · 16 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +13

Scale-dependent pop-ins in nanoindentation and scale-free plastic fluctuations in microcompression

John D. Shimanek, Q. Rizzardi, Gregory Sparks et al. · Journal of materials research/Pratt's guide to venture capital sources · 2020 · 14 citations

Natural Sciences, Materials Engineering, Materials Science +14

Effects of misorientation on single crystal plasticity by finite element methods

John D. Shimanek, Zi‐Kui Liu, Allison M. Beese · Computational Materials Science · 2024 · 14 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +14