Deep dive into machine learning density functional theory for materials science and chemistry
With the growth of computational resources, the scope of electronic structure simulations has
increased greatly. Artificial intelligence and robust data analysis hold the promise to …
increased greatly. Artificial intelligence and robust data analysis hold the promise to …
[HTML][HTML] Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations
Data science and material informatics are gaining traction in alloy design. This is due to
increasing infrastructure, computational capabilities and established open-source …
increasing infrastructure, computational capabilities and established open-source …
A deep learning framework to emulate density functional theory
Density functional theory (DFT) has been a critical component of computational materials
research and discovery for decades. However, the computational cost of solving the central …
research and discovery for decades. However, the computational cost of solving the central …
[HTML][HTML] GlacierNet2: A hybrid Multi-Model learning architecture for alpine glacier mapping
In recent decades, climate change has significantly affected glacier dynamics, resulting in
mass loss and an increased risk of glacier-related hazards including supraglacial and …
mass loss and an increased risk of glacier-related hazards including supraglacial and …
[HTML][HTML] Precursory motion and deformation mechanism of the 2018 Xe Pian-Xe Namnoy dam Collapse, Laos: Insights from satellite radar interferometry
The sudden failure of hydraulic dams poses catastrophic hydrological risks to local
communities and environments. The 2018 Xe Pian-Xe Namnoy Dam collapse in Southern …
communities and environments. The 2018 Xe Pian-Xe Namnoy Dam collapse in Southern …
Machine learning approach to transform scattering parameters to complex permittivities
R Tempke, L Thomas, C Wildfire… - Journal of Microwave …, 2021 - Taylor & Francis
This study investigates the application of artificial neural networks to determine the complex
dielectric material properties derived from experimental VNA scattering parameter …
dielectric material properties derived from experimental VNA scattering parameter …
[PDF][PDF] Results in Materials
DEP Klenam, TK Asumadu, M Vandadi, N Rahbar… - researchgate.net
Data science and material informatics are gaining traction in alloy design. This is due to
increasing infrastructure, computational capabilities and established open-source …
increasing infrastructure, computational capabilities and established open-source …