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Adam M. Krajewski
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Year
Extensible structure-informed prediction of formation energy with improved accuracy and usability employing neural networks
AM Krajewski, JW Siegel, J Xu, ZK Liu
Computational Materials Science 208, 111254, 2022
292022
Generative deep learning as a tool for inverse design of high-entropy refractory alloys
A Debnath, AM Krajewski, H Sun, S Lin, M Ahn, W Li, S Priya, J Singh, ...
Journal of Materials Informatics 1 (3), 2021
272021
Correlation analysis of materials properties by machine learning: Illustrated with stacking fault energy from first-principles calculations in dilute fcc-based alloys
X Chong, SL Shang, AM Krajewski, JD Shimanek, W Du, Y Wang, J Feng, ...
Journal of Physics: Condensed Matter 33 (29), 295702, 2021
192021
Thermodynamic properties of the Nd-Bi system via emf measurements, DFT calculations, machine learning, and CALPHAD modeling
S Im, SL Shang, ND Smith, AM Krajewski, T Lichtenstein, H Sun, ...
Acta Materialia 223, 117448, 2022
16*2022
Forming mechanism of equilibrium and non-equilibrium metallurgical phases in dissimilar aluminum/steel (Al–Fe) joints
SL Shang, H Sun, B Pan, Y Wang, AM Krajewski, M Banu, J Li, ZK Liu
Scientific reports 11 (1), 24251, 2021
162021
Efficient Generation of Grids and Traversal Graphs in Compositional Spaces towards Exploration and Path Planning Exemplified in Materials
AM Krajewski, AM Beese, WF Reinhart, ZK Liu
arXiv preprint arXiv:2402.03528, 2024
22024
Comparing forward and inverse design paradigms: A case study on refractory high-entropy alloys
A Debnath, L Raman, W Li, AM Krajewski, M Ahn, S Lin, S Shang, ...
Journal of Materials Research 38 (17), 4107-4117, 2023
22023
Design and validation of refractory alloys using machine learning, CALPHAD, and experiments
W Li, L Raman, A Debnath, M Ahn, S Lin, AM Krajewski, S Shang, S Priya, ...
International Journal of Refractory Metals and Hard Materials 121, 106673, 2024
12024
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
M Evans, J Bergsma, A Merkys, C Andersen, OB Andersson, D Beltrán, ...
Digital Discovery, 2024
12024
Efficient Structure-Informed Featurization and Property Prediction of Ordered, Dilute, and Random Atomic Structures
AM Krajewski, JW Siegel, ZK Liu
arXiv preprint arXiv:2404.02849, 2024
2024
MaterialsMap: A CALPHAD-Based Tool to Design Composition Pathways through feasibility map for Desired Dissimilar Materials, demonstrated with RSW Joining of Ag-Al-Cu
H Sun, B Pan, Z Yang, AM Krajewski, B Bocklund, SL Shang, J Li, ...
arXiv preprint arXiv:2403.19084, 2024
2024
nimCSO: A Nim package for Compositional Space Optimization
AM Krajewski, A Debnath, WF Reinhart, AM Beese, ZK Liu
arXiv preprint arXiv:2403.02340, 2024
2024
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Articles 1–12