activity
20202026
most citedAn image-based transfer learning approach for using in situ processing data to predict laser powder bed fusion additively manufactured Ti-6Al-4V mechanical properties

26 citations · 75 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Beyond Compression: Training Latent Representations for Stable Long-Horizon Rollout in Neural Surrogate Solvers

Andreas E. Robertson, Ashley T. Lenau, John D. Shimanek +5

Latent neural surrogate solvers, or latent dynamics models, accelerate simulations of time-dependent physical systems by evolving a compressed latent space rather than resolving fu…

cond-mat.mtrl-sci2025★ 1 cited

Effect of Anisotropic Peierls Barrier on the Evolution of Discrete Dislocation Networks in Ni

John D. Shimanek, Darshan Bamney, Laurent Capolungo +2

Over low and intermediate strain rates, plasticity in face centered cubic (FCC) metals is governed by the glide of dislocations, which manifest as complex networks that evolve with…

cond-mat.mtrl-sci2024★ 7 cited

Investigation of ideal shear strength of dilute binary and ternary Ni-based alloys using first-principles calculations, CALPHAD modeling and correlation analysis

Shuang Lin, Shun-Li Shang, John D. Shimanek +3

In the present work, the ideal shear strength (τ_is) of dilute Ni34XZ ternary alloys (X or Z = Al, Co, Cr, Fe, Mn, Mo, Nb, Si, Ti) are predicted by first-principles calculations ba…

cond-mat.mtrl-sci2024★ 14 cited

Effects of Misorientation on Single Crystal Plasticity by Finite Element Methods

John D. Shimanek, Zi-Kui Liu, Allison M. Beese

The crystal plasticity finite element method (CPFEM) is a widely used technique for resolving macroscopic stress and strain onto the physically relevant length scales of grains and…

physics.app-ph2024★ 26 cited

An image-based transfer learning approach for using in situ processing data to predict laser powder bed fusion additively manufactured Ti-6Al-4V mechanical properties

Qixiang Luo, John D. Shimanek, Timothy W. Simpson +1

The mitigation of material defects from additive manufacturing (AM) processes is critical to reliability in their fabricated parts and is enabled by modeling the complex relations…

cond-mat.mtrl-sci2021★ 16 cited

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 +1

The present work examines the effect of alloying elements (denoted X) on the ideal shear strength for 26 dilute Ni-based alloys, NiX, as determined by first-principles calcu…

cond-mat.mtrl-sci2020★ 11 cited

Predictive Crystal Plasticity Modeling of Single Crystal Nickel Based on First-Principles Calculations

John D. Shimanek, Shipin Qin, Shun-Li Shang +2

To reduce reliance on experimental fitting data within the crystal plasticity finite element method (CPFEM), an approached is proposed that integrates first-principles calculations…