Results 251 to 260 of about 540,625 (369)
An Editorial to the Mathematics Special Issue “Numerical Analysis and Matrix Computations: Theory and Applications” [PDF]
Petko H. Petkov
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Transition metal‐decorated holey graphyne (TM@hGY) catalysts are evaluated for electrochemical nitrogen reduction. Cr@hGY demonstrates exceptional catalytic activity with a limiting potential of −0.34 V, exhibiting high selectivity for ammonia synthesis and low hydrogen evolution, offering a promising strategy for efficient, sustainable ammonia ...
Mihir Ranjan Sahoo +3 more
wiley +1 more source
A mini-review of mathematical methods in sprint performance. [PDF]
Fan Y.
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This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said +2 more
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Research on group type theory and its functorial semantic models in category logic. [PDF]
Tang JG, Aishan Y, Liu JY, Peng JY.
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ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana +3 more
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A constructive method to determine the total vertex irregularity strength of two flower graph variants. [PDF]
Hinding N +6 more
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Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
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Computational analysis of stochastic delay dynamics in maize streak virus. [PDF]
Iqbal S +6 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
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