Results 141 to 150 of about 187,454 (230)

Isotopic lifting of Newtonian mechanics

Revista Técnica de la Facultad de Ingeniería, 2011
We present a simple isotopic generalization of the ordinary differential calculus, here called isodifferential calculus, which is based on an axiom-preserving generalization of the unit with compatible generalizations of fields, vector spaces and ...
Ruggero Maria Santilli
doaj  

Gradient system characterization of a 1.5 T MR‐Linac with application to 4D UTE imaging for adaptive MR‐guided radiotherapy of lung cancer

Magnetic Resonance in Medicine, Volume 94, Issue 1, Page 28-40, July 2025.
Abstract Purpose To measure the gradient system transfer function (GSTF) of an MR‐Linac (Elekta Unity, Stockholm, Sweden) using an accessible phantom‐based method and to apply trajectory corrections for UTE image reconstruction in the context of MR‐guided radiotherapy of lung cancer.
Rosie Goodburn, Tom Bruijnen, Bastien Lecoeur, Prashant Nair, Merina Ahmed, Helen Barnes, Uwe Oelfke, Andreas Wetscherek   +7 more
wiley   +1 more source

Design and Additive Manufacture of Architected Short Fiber Reinforced Composites

Applied Research, Volume 4, Issue 3, June 2025.
An efficient design and additive manufacture workflow for architected short fiber reinforced composite structures utilizing multiscale topology optimization to simultaneously optimize the macroscale topology and fiber microstructure, dehomogenization via the stripe patterns algorithm to generate manufacturable print paths, and direct ink writing to ...
Yiran Guo, Arijit Pradhan, Petra Jonson, Narasimha Boddeti   +3 more
wiley   +1 more source

Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract Geophysical problems often involve Lagrangian particles that follow surrounding flows and record information about the system, such as the pressure and temperature path recorded in metamorphic rocks. These Lagrangian particles can be useful for constraining unknown parameters, such as their sources and the thermal and flow processes of the ...
Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao   +3 more
wiley   +1 more source

One-loop renormalisation of N=1/2 supersymmetric gauge theory in the adjoint representation

, 2006
I. Jack, D.R.T. Jones, L. A. Worthy
openalex   +2 more sources

Emulation With Uncertainty Quantification of Regional Sea‐Level Change Caused by the Antarctic Ice Sheet

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract Projecting regional sea‐level change under various climate‐change scenarios typically involves running forward simulations of the Earth's gravitational, rotational and deformational (GRD) response to ice‐mass change, which requires substantial computational cost if applied to probabilistic frameworks requiring thousands to millions of samples.
Myungsoo Yoo, Giri Gopalan, Matthew Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand   +6 more
wiley   +1 more source

Decomposition of the Adjoint Representation of the Small Quantum sl 2 [PDF]

, 1997
Viktor Ostrik
openalex   +1 more source

How Does Neural Network Reparametrization Improve Geophysical Inversion?

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract Full waveform inversion (FWI) is a high‐resolution seismic inversion technique and great efforts have been made to mitigate the multi‐solution problem, such as the traditional total variation (TV) regularization. Different from traditional regularization, a new regularization design approach named neural network (NN) reparametrization (Deep ...
Yuping Wu, Jianwei Ma
wiley   +1 more source

On generalized Igusa local zeta functions associated to simple Chevalley K-groups under the adjoint representation [PDF]

, 1999
Roland Martin
openalex   +1 more source

Slope assisted Physics‐informed neural networks for seismic signal separation with applications on ground roll removal and interpolation

Geophysical Prospecting, Volume 73, Issue 5, Page 1337-1363, June 2025.
Abstract The knowledge of the local slope field of prestack seismic data is essential in several seismic signal processing tasks. Building on our previous slope‐assisted, physics‐informed seismic interpolation framework, dubbed PINNslope, we introduce a series of enhancements that elevate the framework's versatility.
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah   +2 more
wiley   +1 more source