Materials for sustainable nuclear energy: a European strategic research and innovation agenda for all reactor generations
Nuclear energy is presently the single major low-carbon electricity source in Europe and is
overall expected to maintain (perhaps eventually even increase) its current installed power …
overall expected to maintain (perhaps eventually even increase) its current installed power …
High-throughput experiments facilitate materials innovation: a review
YH Liu, ZH Hu, ZG Suo, LZ Hu, LY Feng… - Science China …, 2019 - Springer
Abstract Since the Material Genome Initiative (MGI) was proposed, high-throughput based
technology has been widely employed in various fields of materials science. As a theoretical …
technology has been widely employed in various fields of materials science. As a theoretical …
Phase selection motifs in High Entropy Alloys revealed through combinatorial methods: Large atomic size difference favors BCC over FCC
Abstract High Entropy Alloys are inherently complex and span a vast composition space,
making their research and discovery challenging. Developing quantitative predictions of …
making their research and discovery challenging. Developing quantitative predictions of …
Combinatorial metallurgical synthesis and processing of high-entropy alloys
High-entropy alloys (HEAs) with multiple principal elements open up a practically infinite
space for designing novel materials. Probing this huge material universe requires the use of …
space for designing novel materials. Probing this huge material universe requires the use of …
[HTML][HTML] High-throughput rapid experimental alloy development (HT-READ)
The current bulk materials discovery cycle has several inefficiencies from initial
computational predictions through fabrication and analyses. Materials are generally …
computational predictions through fabrication and analyses. Materials are generally …
Determination of critical cooling rates in metallic glass forming alloy libraries through laser spike annealing
The glass forming ability (GFA) of metallic glasses (MGs) is quantified by the critical cooling
rate (RC). Despite its key role in MG research, experimental challenges have limited …
rate (RC). Despite its key role in MG research, experimental challenges have limited …
[HTML][HTML] A perspective on metallic liquids and glasses
KF Kelton - Journal of Applied Physics, 2023 - pubs.aip.org
Metallic glasses have the potential to become transformative materials, but this is hindered
by the lack of ability to accurately predict which metallic alloys will form good glasses …
by the lack of ability to accurately predict which metallic alloys will form good glasses …
Using multiple regression analysis to predict directionally solidified TiAl mechanical property
S Kwak, J Kim, H Ding, X Xu, R Chen, J Guo… - Journal of Materials …, 2022 - Elsevier
The mechanical properties of TiAl alloy prepared by directional solidification were predicted
through a machine learning algorithm model. The composition, input power, and pulling …
through a machine learning algorithm model. The composition, input power, and pulling …
Insights on phase formation from thermodynamic calculations and machine learning of 2436 experimentally measured high entropy alloys
Abstract Both CALPHAD (CALculation of PHAse Diagrams) and machine learning (ML)
approaches were employed to analyze the phase formation in 2436 experimentally …
approaches were employed to analyze the phase formation in 2436 experimentally …
Compositional gradient films constructed by sputtering in a multicomponent Ti–Al–(Cr, Fe, Ni) system
It has been reported that the optimal properties of materials are usually not linear to the
configuration entropy of materials; in another word, the high-entropy alloys may not have the …
configuration entropy of materials; in another word, the high-entropy alloys may not have the …