Results 61 to 70 of about 56,136 (229)

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Approximation of Time-Frequency Shift Equivariant Maps by Neural Networks

open access: yesMathematics
Based on finite-dimensional time-frequency analysis, we study the properties of time-frequency shift equivariant maps that are generally nonlinear. We first establish a one-to-one correspondence between Λ-equivariant maps and certain phase-homogeneous ...
Dae Gwan Lee
doaj   +1 more source

Augmented, free and tensor generalized digroups

open access: yesOpen Mathematics, 2019
The concept of generalized digroup was proposed by Salazar-Díaz, Velásquez and Wills-Toro in their paper “Generalized digroups” as a non trivial extension of groups.
Rodríguez-Nieto José Gregorio   +2 more
doaj   +1 more source

Equivariant maps between representation spheres [PDF]

open access: yesPacific Journal of Mathematics, 1975
Let G be a finite group, V and W be finite representations of G, S(V) and S(W) be the unit spheres in V and W. Suppose dim VH ^dim WH for every subgroup H of G. We seek to classify the G- equivariant homotopy classes of 6-equivariant maps from S(V) to S(W). Introduction. We wish to consider the following problem: Let G be a finite group, and V and W be
openaire   +2 more sources

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
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

The geometric Hopf invariant and double points

open access: yes, 2010
The geometric Hopf invariant of a stable map F is a stable Z_2-equivariant map h(F) such that the stable Z_2-equivariant homotopy class of h(F) is the primary obstruction to F being homotopic to an unstable map.
Crabb, Michael, Ranicki, Andrew
core   +3 more sources

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

On ’t Hooft defects, monopole bubbling and supersymmetric quantum mechanics

open access: yesJournal of High Energy Physics, 2018
We revisit the localization computation of the expectation values of ’t Hooft operators in N $$ \mathcal{N} $$ = 2* SU(N) theory on ℝ3 × S 1. We show that the part of the answer arising from “monopole bubbling” on ℝ3 can be understood as an equivariant ...
T. Daniel Brennan   +2 more
doaj   +1 more source

Moment Maps and Equivariant Szegö Kernels [PDF]

open access: yesJournal of Symplectic Geometry, 2004
Suppose given an Hamiltonian action of a compact semisimple Lie group on a polarized complex projective manifold $(M,L)$. We study by means of microlocal techniques the local and global asymptotic behaviour of linear series on $M$ defined in terms of the action and the irreducible representations of $G$.
openaire   +4 more sources

Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley   +1 more source

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