[HTML][HTML] Materials for hydrogen-based energy storage–past, recent progress and future outlook

M Hirscher, VA Yartys, M Baricco, JB von Colbe… - Journal of Alloys and …, 2020 - Elsevier
Globally, the accelerating use of renewable energy sources, enabled by increased
efficiencies and reduced costs, and driven by the need to mitigate the effects of climate …

[HTML][HTML] Magnesium based materials for hydrogen based energy storage: Past, present and future

VA Yartys, MV Lototskyy, E Akiba, R Albert… - international journal of …, 2019 - Elsevier
Magnesium hydride owns the largest share of publications on solid materials for hydrogen
storage. The “Magnesium group” of international experts contributing to IEA Task 32 …

[图书][B] Computational thermodynamics: the Calphad method

H Lukas, SG Fries, B Sundman - 2007 - dl.acm.org
Phase diagrams are used in materials research and engineering to understand the
interrelationship between composition, microstructure and process conditions. In complex …

First-principles calculations and CALPHAD modeling of thermodynamics

ZK Liu - Journal of phase equilibria and diffusion, 2009 - Springer
Thermodynamics is the key component of materials science and engineering. The
manifestation of thermodynamics is typically represented by phase diagrams, traditionally for …

[HTML][HTML] The Calphad method and its role in material and process development

UR Kattner - Tecnologia em metalurgia, materiais e mineracao, 2016 - ncbi.nlm.nih.gov
Successful design of materials and manufacturing processes requires the availability of
reliable materials data. Commercial alloys usually contain a large number of elements, and …

[HTML][HTML] A machine learning accelerated distributed task management system (Malac-Distmas) and its application in high-throughput CALPHAD computation aiming at …

J Gao, J Zhong, G Liu, S Yang, B Song, L Zhang… - Advanced Powder …, 2022 - Elsevier
High-throughput calculations/simulations are the prerequisite for the efficient design of high-
performance materials. In this paper, a machine learning accelerated distributed task …

材料基因组计划简介

赵继成 - 自然杂志, 2014 - nature.shu.edu.cn
材料基因组计划简介 Page 1 第36 卷第2 期■特约专稿 89 doi:10.3969/j.issn.0253-9608.2014.02.002
材料基因组计划简介 赵继成 教授,美国俄亥俄州立大学材料科学与工程系,俄亥俄州43210 关键 …

Interfacial characteristics of P91 steel-Inconel 740H bimetallic structure fabricated using wire-arc additive manufacturing

S Sridar, MA Klecka, W Xiong - Journal of Materials Processing Technology, 2022 - Elsevier
Although bimetallic structures can offer unique solutions to engineering problems with
varying functionality, joining two dissimilar alloys using additive manufacturing involves …

A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning

W Yi, S Ma, J Gao, J Zhong, T Gao, S Yang… - Journal of Materials …, 2024 - Elsevier
High pressure solution treatment, followed by ambient pressure aging treatment, may serve
as a powerful tool for enhancing the alloy properties by tailoring plenty of nanoscale …

Tin (Sn) at high pressure: Review, X-ray diffraction, DFT calculations, and Gibbs energy modeling

G Deffrennes, P Faure, F Bottin, JM Joubert… - Journal of Alloys and …, 2022 - Elsevier
An assessment of the Sn unary system is presented. First, the literature on phase equilibria,
the thermodynamic properties, the volume and related properties, and shock compression of …