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Adam M. Krajewski

Pennsylvania State University - Department of Materials Science and Engineering

University Park

State College, PA 16802

United States

SCHOLARLY PAPERS

4

DOWNLOADS

453

TOTAL CITATIONS

9

Scholarly Papers (4)

1.

Thermodynamic Properties of the Nd-Bi System Via Emf Measurements, DFT Calculations, and CALPHAD Modeling

Number of pages: 44 Posted: 28 Jul 2021
Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering and Pennsylvania State University - Department of Materials Science and Engineering
Downloads 170 (447,215)
Citation 2

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2.

Design and Validation of Refractory Alloys Using Machine Learning, Calphad, and Experiments

Number of pages: 24 Posted: 10 Jan 2024
Pennsylvania State University, Indian Institute of Technology (IIT), Madras - Department of Metallurgical and Materials Engineering, Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University, Pennsylvania State University - Department of Materials Science and Engineering and Pennsylvania State University
Downloads 104 (679,608)

Abstract:

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Refractory multicomponent alloys, machine learning, CALPHAD, Solidification simulation, Hardness

3.

An Interactive and Iterative Framework for Refractory Alloys Based on Machine Learning, Calphad and Experiments

Number of pages: 25 Posted: 05 Jul 2023
Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University - Department of Materials Science and Engineering, Pennsylvania State University, Pennsylvania State University - Department of Materials Science and Engineering and Pennsylvania State University
Downloads 100 (689,572)

Abstract:

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refractory high entropy alloys, Machine learning, CALPHAD, solidification simulation, iterative design, Hardness

4.

Extensible Structure-Informed Prediction of Formation Energy with Improved Accuracy and Usability Employing Neural Networks

Number of pages: 56 Posted: 30 Oct 2020
Adam M. Krajewski, Jonathan W. Siegel, Jinchao Xu and Zi-Kui Liu
Pennsylvania State University - Department of Materials Science and Engineering, Department of Mathematics, The Pennsylvania State University, China Agricultural University - College of Engineering and Pennsylvania State University - Department of Materials Science and Engineering
Downloads 79 (809,932)
Citation 7

Abstract:

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Machine Learning, formation energy, predictive model, structure-informed, SIPFENN