Data‐Driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases
Solid electrolyte interphases (SEIs) form as reduction products at the electrodes and strongly
affect battery performance and safety. Because SEI formation poses a highly nonlinear …
affect battery performance and safety. Because SEI formation poses a highly nonlinear …
[HTML][HTML] Design and additive manufacturing of novel hybrid lattice metamaterial for enhanced energy absorption and structural stability
In this work, a novel dual-phase metamaterial, named as “hybrid lattice metamaterial (HLM),”
are designed and fabricated by combining reentrant and sea-urchin (SU) based surface …
are designed and fabricated by combining reentrant and sea-urchin (SU) based surface …
Deep learning, deconvolutional neural network inverse design of strut-based lattice metamaterials
F Dos Reis, N Karathanasopoulos - Computational Materials Science, 2024 - Elsevier
Abstract Machine learning techniques have furnished a new paradigm in the modeling and
design of advanced materials, both in the forward prediction of their effective performance …
design of advanced materials, both in the forward prediction of their effective performance …
Addressing manufacturing defects in architected materials via anisotropy: minimal viable case
The emergence of additive manufacturing has enabled the fabrication of architected
materials with intricate micro-and nanoscale features. However, each fabrication method …
materials with intricate micro-and nanoscale features. However, each fabrication method …
Dual-porosity approach: heat transfer and heat storage processes in porous media
A Kneer, A August, E Alesi, A Reiter… - … of Dynamical Systems, 2024 - Taylor & Francis
This study emphasizes the significance of understanding groundwater flow behavior for
effective contaminant transport and heat storage. Aquifers, with their irregular shapes and …
effective contaminant transport and heat storage. Aquifers, with their irregular shapes and …
[PDF][PDF] Bayesian optimization framework for data-driven materials design
In materials design, optimizing material properties for specific applications is a challenging
task, as these properties often exhibit complex behaviors. Effects at multiple scales influence …
task, as these properties often exhibit complex behaviors. Effects at multiple scales influence …
[PDF][PDF] Strukturiertes Management von Forschungsdaten in den Ingenieurwissenschaften
N Brandt - 2024 - scholar.archive.org
Die stetig wachsende Menge digitaler Daten aus verschiedenen Forschungsprozessen
sowie das Potenzial, aus solchen Forschungsdaten mithilfe von Ansätzen aus den …
sowie das Potenzial, aus solchen Forschungsdaten mithilfe von Ansätzen aus den …