[HTML][HTML] Fundamental design strategies for advancing the development of high entropy alloys for thermo-mechanical application: A critical review

US Anamu, OO Ayodele, E Olorundaisi… - Journal of Materials …, 2023 - Elsevier
Nearly three decades since the discovery of high entropy alloys (HEAs), it has greeted a
broad interest in the field of materials research as a better alternative to conventional alloy …

Computational thermodynamics and its applications

ZK Liu - Acta Materialia, 2020 - Elsevier
Thermodynamics is a science concerning the state of a system, whether it is stable,
metastable or unstable, when interacting with the surroundings. In this overview …

Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

ZK Liu - Calphad, 2023 - Elsevier
Thermodynamics is a science concerning the state of a system, whether it is stable,
metastable, or unstable, when interacting with its surroundings. The combined law of …

pycalphad: CALPHAD-based Computational Thermodynamics in Python

R Otis, ZK Liu - 2017 - books.google.com
pycalphad: CALPHAD-based Computational Thermodynamics in Python Page 398 Chapter 16
pycalphad: CALPHAD-Based Computational Thermodynamics in Python Richard Otis and …

ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg

B Bocklund, R Otis, A Egorov, A Obaied… - MRS …, 2019 - cambridge.org
The software package ESPEI has been developed for efficient evaluation of thermodynamic
model parameters within the CALPHAD method. ESPEI uses a linear fitting strategy to …

Genomic materials design: calculation of phase dynamics

GB Olson, ZK Liu - Calphad, 2023 - Elsevier
The CALPHAD system of fundamental phase-level databases, now known as the Materials
Genome, has enabled a mature technology of computational materials design and …

Uncertainty quantification and propagation in computational materials science and simulation-assisted materials design

P Honarmandi, R Arróyave - Integrating Materials and Manufacturing …, 2020 - Springer
Significant advances in theory, simulation tools, advanced computing infrastructure, and
experimental frameworks have enabled the field of materials science to become …

High-throughput determination of high-quality interdiffusion coefficients in metallic solids: a review

J Zhong, L Chen, L Zhang - Journal of Materials Science, 2020 - Springer
Accurate interdiffusion coefficients of composition and temperature dependence are
significantly important for understanding different materials processes. However, the high …

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… - Acta Materialia, 2022 - Elsevier
Thermodynamic properties of the Nd-Bi system were investigated using a combination of
experimental measurements, first-principles calculations based on density functional theory …

A novel computational framework for establishment of atomic mobility database directly from composition profiles and its uncertainty quantification

J Zhong, L Zhang, X Wu, L Chen, C Deng - Journal of Materials Science & …, 2020 - Elsevier
In this work, a novel computational framework for establishment of atomic mobility database
directly from the experimental composition profiles and its uncertainty quantification was …