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Understanding and design of metallic alloys guided by phase-field simulations
Y Zhao - npj Computational Materials, 2023 - nature.com
Phase-field method (PFM) has become a mainstream computational method for predicting
the evolution of nano and mesoscopic microstructures and properties during materials …
the evolution of nano and mesoscopic microstructures and properties during materials …
[HTML][HTML] Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications
Accurate and efficient characterisation techniques are essential to ensure the optimal
performance and reliability of photovoltaic devices, especially given the large number of …
performance and reliability of photovoltaic devices, especially given the large number of …
AlloyManufacturingNet for discovery and design of hardness-elongation synergy in multi-principal element alloys
Located around the center of multicomponent phase space, multi-principal element alloys
(MPEAs) are often characterized with a unique blend of contrasting physico-chemical …
(MPEAs) are often characterized with a unique blend of contrasting physico-chemical …
pyMPEALab toolkit for accelerating phase design in multi-principal element alloys
Multi-principal element alloys (MPEAs) occur at or nearby the centre of the multicomponent
phase space, and they have the unique potential to be tailored with a blend of several …
phase space, and they have the unique potential to be tailored with a blend of several …
Effect of Thermal Cycling Aging Photovoltaic Ribbon on the Electrical Performance of Photovoltaic Modules
P Feng, L Li, Y Yang, J Tu, H Wu, Y **e… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The objective of this study was to reveal the impact of aging photovoltaic ribbon welding
layer materials on the performance of photovoltaic modules. We conducted thermal cycling …
layer materials on the performance of photovoltaic modules. We conducted thermal cycling …
[HTML][HTML] Automatic featurization aided data-driven method for estimating the presence of intermetallic phase in multi-principal element alloys
Multi-principal element alloys (MPEAs) are characterized by a high-dimensional materials
design space, and data-driven models can be considered as the best tools to describe the …
design space, and data-driven models can be considered as the best tools to describe the …
Simulation for Cu Atom Diffusion Leading to Fluctuations in Solder Properties and Cu6Sn5 Growth during Multiple Reflows
M Shang, C Dong, H Ma, Y Wang, H Ma - Metals, 2021 - mdpi.com
The multiple reflows process is widely used in 3D packaging in the field of electronic
packaging. The growth behavior of interfacial intermetallic compound (IMC) is more …
packaging. The growth behavior of interfacial intermetallic compound (IMC) is more …
Machine learning for advanced characterisation of silicon solar cells
Y Buratti - 2022 - search.proquest.com
Improving the efficiency, reliability, and durability of photovoltaic cells and modules is key to
accelerating the transition towards a carbon-free society. With tens of millions of solar cells …
accelerating the transition towards a carbon-free society. With tens of millions of solar cells …
[ALINTI][C] Current Status of Electronic Packaging Materials Using Machine Learning
张墅野, 段晓康, 罗克宇, 许孙武, 张志昊, 陈捷狮… - Journal of Mechanical …, 2023
[ALINTI][C] 基于机器学**电子封装互连材料研究现状
张墅野, 段晓康, 罗克宇, 许孙武, 张志昊, 陈捷狮… - 机械工程学报 - **机械工程学会