Results 61 to 70 of about 464,826 (301)
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
wiley +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Asset Identification Under the Cape Town Convention and Protocols [PDF]
A titania-supported nickel catalyst was prepared and tested in methanation in order to evaluate its catalytic properties (activity, selectivity and specially, activity loss), and compare it with an alumina-supported nickel catalyst. The titania-supported
Goode, Sir Roy
core +2 more sources
Domains of perfectionism: Prevalence and relationships with perfectionism, age, gender, and satisfaction with life [PDF]
Perfectionists have been described as people who want to be perfect in all domains of their lives. Few studies to date, however, have investigated what domains people are perfectionistic in. Using two samples (109 university students, 289 Internet users),
Stoeber, Franziska S., Stoeber, Joachim
core +1 more source
Sufficient conditions for perfect mixed tilings
40 pages + 3 pages ...
Eoin Hurley, Felix Joos, Richard Lang
openaire +4 more sources
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Was Gaunilo Right in his Criticism of Anselm? A Contemporary Perspective [PDF]
Gaunilo argued that Anselm could prove the existence of many perfect objects, for example, the happiest island, that is, happier than any other island.
Jan, Woleński
core +1 more source
Neighborhood conditions and edge-disjoint perfect matchings
A graph \(G\) satisfies the all pairs neighborhood condition \(\text{ANC}(G)\geq m\) if, for each pair \(x,y\) of vertices of \(G\), we have \(| N_ G(x)\cup N_ G(y)|\geq m\). Let \(k\) be a fixed positive integer and \(G\) a graph of even order \(n\) which satisfies the following conditions: (1) the minimum degree of \(G\) is at least \(k+1\); (2) the ...
Faudree, R.J. +2 more
openaire +2 more sources
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Experimenting with (Conditional) Perfection [PDF]
Conditional perfection is the phenomenon in which conditionals are strengthened to biconditionals. In some contexts, “If A, B” is understood as if it meant “A if and only if B.” We present and discuss a series of experiments designed to test one of the ...
Cariani, Fabrizio, Rips, Lance J.
core

