受强制性开放获取政策约束的文章 - Adam M. Krajewski了解详情
无法在其他位置公开访问的文章：1 篇
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
强制性开放获取政策： US Department of Energy
可在其他位置公开访问的文章：5 篇
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
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
强制性开放获取政策： US National Science Foundation, US Department of Energy, US National …
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
强制性开放获取政策： US National Science Foundation, US Department of Energy
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
强制性开放获取政策： US Department of Energy
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
ML Evans, J Bergsma, A Merkys, CW Andersen, OB Andersson, D Beltrán, ...
Digital Discovery 3 (8), 1509-1533, 2024
强制性开放获取政策： Swiss National Science Foundation, Swedish Research Council, UK Engineering …
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