Article
Mathematics, Applied
Fernando Montaner, Irene Paniello
Summary: In this article, we introduce the concept of continuous evolution algebra in terms of differentiable matrix-valued functions, and study those algebras that arise as solutions of ODE problems. Matrix Lie groups, with their dependence on natural bases, provide a suitable framework for considering time-variant evolution algebras. We conclude by broadening our approach to include continuous evolution algebras arising as flow lines on matrix Lie groups.
Article
Physics, Applied
H. Y. Poh, C. C. I. Ang, T. L. Jin, F. N. Tan, G. J. Lim, S. Wu, F. Poh, W. S. Lew
Summary: This study presents a lithography-free technique for characterizing spin-orbit torque efficiency in a perpendicular magnetic anisotropy ferromagnetic heterostructure using a customized four-point probe and harmonic Hall measurement on continuous films. A correction factor is evaluated experimentally and analytically, independent of material, by comparing damping-like fields of continuous film to a fabricated Hall device. The calibration process can be applied to other ferromagnetic heterostructures, offering a swift alternative to traditional lithography processes.
APPLIED PHYSICS LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Jitka Kostkova, Tomas Suk, Jan Flusser
Summary: This paper proposes a method for describing and matching vector field patterns under unknown affine transformations, showing significant improvements compared to potential competitors in real data experiments from fluid mechanics. Unlike digital images, transformations of vector fields affect not only spatial coordinates but also field values, leading to a different detection approach.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Chemistry, Analytical
Shaoxing Hu, Shen Xiao, Aiwu Zhang, Yiming Deng, Bingke Wang
Summary: In this study, the complex problem of associating continuous-time laser frames was modeled as a multilayer optimization problem to ensure the consistency of 3D point cloud map. By aligning 3D point clouds using the NDT algorithm and ICP algorithm, automatic ground point extraction, and non-ground point segmentation, accurate mapping in different scenarios was achieved. The proposed method not only successfully handled sparse laser frames, but also demonstrated good performance in complex scenes, which is crucial for devices like the new Velodyne VLP-16 scanner.
Article
Mathematics
M. Paschalis
Summary: This article introduces a geometric approach to integrating functional inequalities involving directional derivatives on differentiable manifolds equipped with a volume form. The focus is on Hardy-type inequalities and the explicit optimal Hardy potentials that can be obtained using this method. The method is then applied to retrieve known inequalities and establish new ones.
MATHEMATICAL INEQUALITIES & APPLICATIONS
(2022)
Article
Chemistry, Applied
Tianxiang Gao, Jingnan Zhao, Huinan Sun, Jianing Li, Cunfei Ma, Qingwei Meng
Summary: This paper describes an expeditious and efficient continuous flow process for the synthesis of esomeprazole. Through optimized continuous reaction equipment, the asymmetric sulfoxidation reaction achieved esomeprazole in 98% yield and 98% ee under mild conditions. The introduction of an inert gas significantly reduced residence time in the flow system and enhanced mixing effect, resulting in a more efficient reaction.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2023)
Article
Acoustics
Lele Luan, Yang Liu, Hao Sun
Summary: Video camera is an effective tool for accurate displacement sensing in structural health monitoring. Traditional target tracking approaches provide sparse displacement, while phase-based methods enable full-field displacement measurement at subpixel precision. To solve the problem of large motions, an enhanced phase-based method that combines pixel matching and optical flow processing is proposed.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Chemistry, Multidisciplinary
Jianming Yu, Lijie Yang, Jing Jiang, Xunyi Dong, Zhiyang Cui, Chao Wang, Zhenda Lu
Summary: This study achieved scalable and high-quality production of silver nanowires through continuous-flow synthesis and established a pilot-scale production line. Large-scale production was achieved by optimizing the synthetic formula.
Article
Chemistry, Multidisciplinary
Wanqing Chen, Md. Joynul Abedin, Titon Barua, Meysam Sharifzadeh Mirshekarloo, Sally El Meragawi, Mainak Majumder
Summary: Continuous flow manufacturing is being adapted to the production of nanomaterials, such as holey graphene oxides (hGOs), to achieve consistent product characteristics at a large scale. A flow photochemical system is developed for the synthesis of hGOs, which is fast, scalable, and reproducible. The produced hGOs out-perform graphene oxide (GO) in various applications, indicating the potential of industrializing 2D nanomaterials at a low cost.
Article
Mathematics, Applied
J. Haubner, M. Siebenborn, M. Ulbrich
Summary: This article considers shape optimization problems as optimal control problems through mappings, optimizing over a set of admissible transformations instead of shapes. The focus is on selecting a set of transformations and enforcing local injectivity through a nonlinear constraint. Numerical results for drag minimization in Stokes flow are provided.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2021)
Article
Chemistry, Multidisciplinary
Thanat Tiyasakulchai, Netnapa Charoensetakul, Thitiphong Khamkhenshorngphanuch, Chawanee Thongpanchang, Onsiri Srikun, Yongyuth Yuthavong, Nitipol Srimongkolpithak
Summary: The decagram scale synthesis of favipiravir was conducted in 9 steps using diethyl malonate as a cheap starting material. Hydrogenation and bromination steps were achieved with a continuous flow reactor, resulting in a total yield of 16%. This synthetic process is suitable for larger-scale synthesis and production.
Article
Neurosciences
Trenton D. Colburn, Ramona E. Weber, Kiana M. Schulze, K. Sue Hageman, Andrew G. Horn, Brad J. Behnke, David C. Poole, Timothy I. Musch
Summary: The study demonstrated sex differences in vascular K-ATP channel function in rats, suggesting potential exacerbation of exercise intolerance and morbidity with oral sulphonylureas, especially in premenopausal females. There was a greater reduction in muscle blood flow and exercise tolerance observed in female rats compared to males when treated with glibenclamide, highlighting the importance of considering sex-related effects in medication.
JOURNAL OF PHYSIOLOGY-LONDON
(2021)
Article
Mechanics
Benjamin E. Grossman-Ponemon, Ataollah Mesgarnejad, Alain Karma
Summary: We propose a phase-field formulation for modeling fatigue crack growth over large numbers of cycles. The formulation treats cycle number as a continuous variable and allows for crack growth prediction in arbitrary geometries with one or several cracks under various loading conditions. The proposed model reproduces experimentally measured fatigue growth curves and can predict realistic crack paths.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Geochemistry & Geophysics
Jun Chen, Meng Yang, Chengli Peng, Linbo Luo, Wenping Gong
Summary: This article proposes a simple and effective feature matching method for remote sensing image registration. By using local consensus constraints to remove outliers, the method can solve the problem of high outliers ratio caused by nonrigid transformation, nonlinear radiation difference, and speckle noise. Experiments on remote sensing images demonstrate the superiority of this method in feature matching.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Chemistry, Physical
Zhe Yang, Shuwang Wu, Yun Gao, Dandan Kou, Kuan Lu, Can Chen, Yi Zhou, Dandan Zhou, Lei Chen, Jianxian Ge, Cang Li, Jianfeng Zeng, Mingyuan Gao
Summary: This study investigates the degradation of iron oxide nanoparticles under biologically relevant conditions, revealing that acidic environment, presence of bovine serum albumin, glutathione, and sodium citrate all have different effects on the degradation rate. The dissolution and aggregation of nanoparticles significantly impact their relaxivity, which has implications for their use as magnetic resonance imaging contrast agents.
Article
Mathematics, Applied
Antonin Chambolle, Luca Alberto Davide Ferrari, Benoit Merlet
ADVANCES IN CALCULUS OF VARIATIONS
(2019)
Article
Computer Science, Artificial Intelligence
A. Chambolle, M. Holler, T. Pock
JOURNAL OF MATHEMATICAL IMAGING AND VISION
(2020)
Editorial Material
Mathematics, Applied
Gabriel Peyre, Antonin Chambolle
APPLIED MATHEMATICS AND OPTIMIZATION
(2020)
Article
Computer Science, Artificial Intelligence
Antonin Chambolle, Thomas Pock
JOURNAL OF MATHEMATICAL IMAGING AND VISION
(2020)
Article
Operations Research & Management Science
Julian Rasch, Antonin Chambolle
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
(2020)
Article
Mathematics, Applied
Marco Caroccia, Antonin Chambolle, Dejan Slepcev
Article
Mathematics, Applied
Francois Alouges, Antonin Chambolle, Dominik Stantejsky
Summary: In this work, the Landau-de Gennes model for liquid crystals with an external magnetic field is considered to model the Saturn ring effect under the assumption of rotational equivariance. By rescaling the energy and deriving a variational limit, precise estimates around singularities and the study of a radial auxiliary problem were conducted. The analysis explains the transition between dipole and Saturn ring configurations and the occurrence of a hysteresis phenomenon, providing a rigorous explanation of previous simulations.
ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS
(2021)
Article
Mathematics, Applied
Corentin Caillaud, Antonin Chambolle
Summary: In this paper, we analyze the convergence rate of two different discretizations of the Rudin-Osher-Fatemi (ROF) denoising problem. The first discretization induces blurring in certain diagonal directions, while the second discretization based on dual Raviart-Thomas fields achieves an optimal convergence rate.
IMA JOURNAL OF NUMERICAL ANALYSIS
(2023)
Article
Operations Research & Management Science
Antonin Chambolle, Robert Tovey
Summary: FISTA is a popular convex optimization algorithm that converges at an optimal rate in a suitable Hilbert space. We propose a modified algorithm where each iteration is performed in a changing subset. Guaranteed convergence conditions are provided, although the convergence rate may reduce depending on problem conditioning. These conditions have a natural interpretation in the presence of a minimizer in a Banach space, such as in L1-penalized reconstructions, which we analyze theoretically and numerically.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
(2022)
Article
Mathematics, Applied
Lea Bogensperger, Antonin Chambolle, Thomas Pock
Summary: In this paper, a "piggyback-style" method for computing the derivative of a loss with respect to the bilinear term in a convex-concave saddle-point problem is analyzed. The algorithm guarantees are derived under minimal regularity assumptions on the functions, including nonsmooth objectives. The versatility of the proposed piggyback algorithm is demonstrated through learning optimized shearlet transforms, a popular sparsifying transform in imaging.
SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE
(2022)
Article
Mathematics, Applied
Antonin Chambolle, Vito Crismale
Summary: In this paper, a compactness and semicontinuity result in GSBD for sequences with bounded Griffith energy is proven, generalizing classical results in (G)SBV and SBD. As a result, the static problem in Francfort-Marigo's variational approach to crack growth has (weak) solutions.
JOURNAL OF THE EUROPEAN MATHEMATICAL SOCIETY
(2021)
Article
Mathematics, Applied
Antonin Chambolle, Matteo Novaga, Valerio Pagliari
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
(2020)
Article
Mathematics, Applied
Luca Calatroni, Antonin Chambolle
SIAM JOURNAL ON OPTIMIZATION
(2019)
Article
Mathematics, Applied
Claire Boyer, Antonin Chambolle, Yohann De Castro, Vincent Duval, Frederic De Gournay, Pierre Weiss
SIAM JOURNAL ON OPTIMIZATION
(2019)
Article
Computer Science, Artificial Intelligence
Antonin Chambolle, Thomas Pock
Summary: This work introduces a general framework for discrete approximations of total variation in image reconstruction, showing consistency in the sense of Gamma-convergence. Algorithms for learning discrete total variation are proposed to achieve optimal reconstruction quality for specific image reconstruction tasks. The study reveals significant differences in learned discretizations for different tasks, indicating that there is no universal best discretization method for total variation.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)