Results 81 to 90 of about 28,279 (264)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
On the distance eigenvalues of Cayley graphs
In this paper, graphs are undirected and loop-free and groups are finite. By Cn, Kn and Km,n we mean the cycle graph with n vertices, the complete graph with n vertices and the complete bipartite graph with parts size m and n, respectively.
Majid Arezoomand
doaj
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
The effect of network structure on the dynamics of epidemic propagation in an individual-based model
An individual-based model of SIS epidemic propagation is considered on regular graphs. This model explicitly incorporates the adjacency matrix of the network enabling us to study the effect of network structure on the dynamic of the propagation process ...
Noémi Nagy +2 more
doaj +1 more source
Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad +6 more
wiley +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
ENUMERATION INTERSECTION ARRAYS OF SHILLA GRAPHS WITH B = 6
Let \(\Gamma\) be a distance-regular graph of diameter \(3\), and let \(\theta_1\) be its second eigenvalue. The graph \(\Gamma\) is called a Shilla graph if \(\theta_1=a_3\). In this case, \(\theta_1={(a_1+\sqrt{a_1^2+4k})}/{2}\), and \(a=a_3\) divides \
Alexander A. Makhnev +2 more
doaj +1 more source
Tails of Bipartite Distance-regular Graphs
Let \(\Gamma \) denote a bipartite distance-regular graph with diameter \(D\geq 4\) and valency \(k\geq 3\). Let \(\theta _{0}>\theta _{1}>\cdots >\theta _{D}\) denote the eigenvalues of \(\Gamma \) and let \(E_{0}, E_{1},\ldots ,E_{D}\) denote the associated primitive idempotents.
openaire +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

