Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley +1 more source
Reactor Physics Data for the Utilization of Plutonium in Thermal Power Reactors
L. A. Schmid+3 more
openalex +1 more source
A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models
In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas+15 more
wiley +1 more source
FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling+6 more
wiley +1 more source
The two-body strong decays of the fully-charm tetraquark states
We study the hadronic coupling constants in the two-body strong decays of the fully-charm tetraquark states with the $$J^{PC}=0^{++}$$ J PC = 0 + + , $$1^{+-}$$ 1 + - , and $$2^{++}$$ 2 + + via the QCD sum rules based on rigorous quark-hadron duality ...
Zhi-Gang Wang, Xiao-Song Yang
doaj +1 more source
Physics of plasma‐based ion implantation & deposition (PBIID) and high power impulse magnetron sputtering (HIPIMS): A comparison [PDF]
André Anders
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack
The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller+2 more
wiley +1 more source
Anomalous U(1) and low-energy physics: The power of D-flatness and holomorphy
Pierre Binétruy+3 more
openalex +2 more sources