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Massive Atomic Diversity: a compact universal dataset for atomistic machine learning. [PDF]

Sci Data
Mazitov A, Chorna S, Fraux G, Bercx M, Pizzi G, De S, Ceriotti M.   +6 more
europepmc   +1 more source

Fourth-order kinematic analysis: Advanced decomposition methods for particle motion in modified orthogonal frame. [PDF]

PLoS One
Alghamdi F, Elsharkawy A.
europepmc   +1 more source

Self-adaptive search algorithm for path planning based on the A* algorithm. [PDF]

Sci Rep
Lin S, Fan X, Xie Z, Wu Y, Yang H.
europepmc   +1 more source

Twist Fields in Many-Body Physics. [PDF]

Entropy (Basel)
Doyon B.
europepmc   +1 more source

Fast simulation of Gaussian random fields with flexible correlation models in Euclidean spaces [PDF]

Moreno Bevilacqua, Xavier Emery, Francisco Cuevas‐Pacheco   +2 more
openalex  

HC-SPA: Hyperbolic Cosine-Based Symplectic Phase Alignment for Fusion Optimization. [PDF]

Sensors (Basel)
Zhang W, Fang A, Li Y, Wei Y.
europepmc   +1 more source

Fujita exponents on quantum Euclidean spaces [PDF]

Edward McDonald, Michael Ruzhansky, Serikbol Shaimardan, Kanat Tulenov   +3 more
openalex  

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G-Semidifferentiability in Euclidean Spaces

Journal of Optimization Theory and Applications, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
PAPPALARDO, MASSIMO, UDERZO A.
openaire   +3 more sources

Is Visual Space Euclidean?

Synthese, 1977
Philosophers of past times have claimed that the answer to the question, Is visual space Euclidean?, can be answered by a priori or purely philo­sophical methods. Today such a view is presumably held only in remote philosophical backwaters. It would be generally agreed that one way or another the answer is surely empirical, but the answer might be ...
openaire   +2 more sources