Results 121 to 130 of about 735 (173)

Enhanced Sampling in the Age of Machine Learning: Algorithms and Applications. [PDF]

Chem Rev
Zhu K, Trizio E, Zhang J, Hu R, Jiang L, Hou T, Bonati L.   +6 more
europepmc   +1 more source

High Relative Accuracy Computations With Covariance Matrices of Order Statistics

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz, Pedro Alonso, Juan Manuel Peña, Raúl Pérez‐Fernández   +3 more
wiley   +1 more source

Quantum AI in Speech Emotion Recognition. [PDF]

Entropy (Basel)
Norval M, Wang Z.
europepmc   +1 more source

Weak Solutions for a Class of Nonlocal Singular Problems Over the Nehari Manifold

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we consider a nonlocal model of dilatant non‐Newtonian fluid with a Dirichlet boundary condition. By using the Nehari manifold and fibering map methods, we obtain the existence of at least two weak solutions, with sign information.
Zhenfeng Zhang, Calogero Vetro, Tianqing An   +2 more
wiley   +1 more source

Carrier mobilities and electron-phonon interactions beyond DFT. [PDF]

NPJ Comput Mater
Poliukhin A, Colonna N, Libbi F, Poncé S, Marzari N.   +4 more
europepmc   +1 more source

Shape Derivatives of the Eigenvalues of the de Rham Complex for Lipschitz Deformations and Variable Coefficients: Part II

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this second part of our series of papers, we develop an abstract framework suitable for de Rham complexes that depend on a parameter belonging to an arbitrary Banach space. Our primary focus is on spectral perturbation problems and the differentiability of eigenvalues with respect to perturbations of the involved parameters. As a byproduct,
Pier Domenico Lamberti, Dirk Pauly, Michele Zaccaron   +2 more
wiley   +1 more source

Critical behavior of Fredenhagen-Marcu string order parameters at topological phase transitions with emergent higher-form symmetries. [PDF]

npj Quantum Inf
Xu WT, Pollmann F, Knap M.
europepmc   +1 more source

Simultaneous Acquisition of Magnetic Resonance Elastography (MRE) and Diffusion Tensor Imaging (DTI) Optimized for Human Brain

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Increase clinical acceptance of MRE and DTI by shortening the scan time by half and providing diffusive and mechanical property maps that are inherently co‐registered. This proof‐of‐concept study evaluates the simultaneous DTI‐MRE acquisition in the human brain and compares its results to conventional DTI and MRE measurements.
Shujun Lin, Bradley P. Sutton, Richard L. Magin, Aaron T. Anderson, Dieter Klatt   +4 more
wiley   +1 more source

A Two-Level Preconditioner for the CASSCF Linear-Response Equations. [PDF]

J Phys Chem A
Helmich-Paris B.
europepmc   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source