Article
Engineering, Multidisciplinary
Lihong Feng, Luigi Lombardi, Giulio Antonini, Peter Benner
Summary: This paper presents a strategy to accelerate the offline stage of model order reduction by replacing the high-fidelity error estimator with a multi-fidelity error estimation method. This significantly reduces computational complexity and improves the convergence speed of the algorithm without noticeable loss in accuracy.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Peng Yu, Stephane Pierre Alain Bordas, Pierre Kerfriden
Summary: In this paper, space-time adaptivity strategies for plate vibration based on IsoGeometric Analysis (IGA) are established. Three different strategies, namely UM-STAGN, E-STAGN, and G-STAGN, are developed based on hierarchical error estimations. These strategies show varying degrees of efficiency and accuracy in capturing the behavior of stress waves and dual stress.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Hongman Wang, Hui Qiao, Jingyu Lin, Rihui Wu, Yebin Liu, Qionghai Dai
Summary: The paper introduces a compressive transient imaging model that addresses limitations of traditional multi-frequency ToF sensors and achieves highly accurate reconstruction results without requiring any prior knowledge. The model is suitable for various sensors and does not require hardware modifications.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2021)
Article
Chemistry, Physical
Thomas Weike, Uwe Manthe
Summary: In MCTDH approaches, different representations of the wavefunction can be transformed interchange the role of SPFs and SHFs, leading to revised equations of motion that avoid singularities and remain invariant under tree transformations. A new integration scheme combining the advantages of different methods was introduced and confirmed to have favorable properties through numerical calculations studying the spin boson model in high dimensionality.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Mathematics, Applied
Alex C. Fish, Daniel R. Reynolds
Summary: Multirate methods can improve computational efficiency, but there is a lack of development in adaptive time step controllers for these methods. In this paper, we extend the single-rate controller approach to multirate methods by developing controllers using polynomial approximations and investigating different methods for error estimation. We evaluate the proposed multirate controllers and error estimation strategies on various test problems and compare their performance against an estimated optimal performance. Through this work, we derive a set of multirate adaptive time step controllers that robustly achieve the desired solution accuracy with minimal computational effort.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2023)
Article
Physics, Multidisciplinary
Weilun Yuan, Shuai Yin, Fan Zhong
Summary: The breaking of self-similarity leads to new critical exponents, violating the well-known finite-size scaling or finite-time scaling, and different leading exponents in either the ordered or disordered phases of a model when subjected to nonequilibrium driving. This contrasts sharply with identical exponents and different amplitudes in typical critical phenomena. The results demonstrate the surprising nature of driven nonequilibrium critical phenomena and have potential applications to other classical and quantum phase transitions.
CHINESE PHYSICS LETTERS
(2021)
Article
Multidisciplinary Sciences
Martin D. Baaske, Nasrin Asgari, Deep Punj, Michel Orrit
Summary: Optical detection of individual proteins without fluorescent labels is highly desired for understanding nanoscale biological processes. In this study, the resonantly scattered field of individual gold nanorods is measured interferometrically, and photothermal spectroscopy is used to optimize the experimental parameters. This interferometric plasmonic scattering technique allows for the observation of single proteins in the plasmonic near fields of gold nanorods with unprecedented temporal resolution.
Article
Chemistry, Multidisciplinary
Adrian Amor-Martin, Luis E. Garcia-Castillo
Summary: This study focuses on improving the adaptive mesh techniques in the Finite Element Method by utilizing triangular prismatic elements. Through error estimation, marking, and refinement processes, different marking strategies and special rules were applied to achieve quality refined mesh while avoiding hanging nodes. The implementation was validated through the Method of Manufactured Solutions and numerical results.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Ahmed Silik, Mohammad Noori, Wael A. Altabey, Ramin Ghiasi
Summary: The study proposed a new framework for selecting the optimal decomposition level (DL) to ensure effective wavelet analysis of time-varying structural responses. Experimental results demonstrated that the optimal DL for El Centro earthquake was 4, and for acceleration data was 6, showcasing the stability and robustness of the proposed method in analyzing contaminated time-varying signals.
STRUCTURAL CONTROL & HEALTH MONITORING
(2021)
Article
Geochemistry & Geophysics
Lu KaiLiang, Li Xiu, Qi ZhiPeng, Fan YaNan, Zhou JianMei, Li WenHan, Li He, Zhang MingJing, Wang YangZhou
Summary: The proposed method in this study involves converting the transient electromagnetic diffusion field signal into a virtual wave field signal using a precise integration method, which significantly improves computational efficiency and applicability through exponentially increasing integration step lengths and setting reasonable iteration stopping conditions. The method demonstrates excellent performance in providing geological structure information, resolution, and stability.
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
(2021)
Article
Physics, Fluids & Plasmas
Caries Falco, Alvaro Corral
Summary: This study uses a continuous-time branching process to uncover the finite-time scaling law of the survival probability of outbreaks under power-law-tailed superspreading conditions, and reveals a phase transition phenomenon. The research also demonstrates the counterintuitive hazards posed by this type of superspreading.
Article
Automation & Control Systems
Kuosheng Jiang, Zhixiong Li, Yuanyuan Zhou, Thompson Sarkodie-Gyan, Weihua Li
Summary: A novel ascension multi-wavelet method is proposed in this paper for diagnosing the undergoing degradation state and predicting the remaining useful life (RUL) of bearings. By using multiple wavelet matching and entropy calculation, a monotone representation of the bearing degradation trend can be obtained. The experimental results demonstrate that the RUL prediction accuracy of multi-wavelet matching is better than that of single-wavelet matching.
Article
Mathematics, Applied
V. S. Aswin, J. Manimaran, Nagaiah Chamakuri
Summary: The present work investigates the parallel space-time adaptivity techniques for solving a cancer invasion model. The model consists of three coupled reaction-diffusion equations, which characterize the evolution of cancer cell density, matrix-degrading enzymes, and extracellular matrix. Fine resolutions in both spatial and temporal dimensions are required due to the incorporation of nonlinear density-dependent diffusion and haptotaxis effect. The study combines adaptive space-time discretization techniques with dynamic load balancing to reduce computational cost while maintaining accuracy of the numerical solutions. Mathematical analysis for the existence of fully discretized system is presented, and numerical results demonstrate the effects of density-dependent diffusion and haptotaxis on tumor growth and invasion. The superiority of dynamic space and time adaptivity in a parallel setting is illustrated through several test cases.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2023)
Article
Engineering, Mechanical
J. Walker, M. Mohammadpour, S. Theodossiades, S. R. Bewsher, G. Offner, H. Bansal, M. Leighton, M. Braunstingl, H-G Flesch
Summary: This study combines the use of a Tooth Contact Analysis (TCA) model with a multifaceted tribological model to predict the lubricant film thickness and friction losses in helical gear pair conjunctions. By considering the gear microgeometry, the study captures the progressing wear and dynamics, providing new insights into the evolution of efficiency and NVH throughout the component's life cycle.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Physics, Fluids & Plasmas
Yue Liu, Dahai He
Summary: Based on the geometrization of dynamics and self-consistent phonon theory, an analytical approach is developed to derive the Lyapunov time for general nonlinear lattices. The universal scaling behavior of the Lyapunov time with the nonintegrability strength is observed for the quasi-integrable regime, with the scaling exponent being the same as the thermalization time. This proportional relationship indicates how the thermalization process is related to the intrinsic chaotic property.
Article
Engineering, Mechanical
Jinlei Shen, Shravan Kotha, Ryan Noraas, Vasisht Venkatesh, Somnath Ghosh
Summary: This paper develops Parametrically Upscaled Constitutive Model (PUCM) and Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used a/6-phase Ti64 alloy to study the influence of microstructure on fatigue crack nucleation.
INTERNATIONAL JOURNAL OF PLASTICITY
(2022)
Article
Engineering, Mechanical
M. Pinz, J. T. Benzing, A. Pilchak, S. Ghosh
Summary: This paper develops an effective crystal plasticity model with porosity evolution for additively manufactured Ti-6Al-4V alloys. The model is calibrated and validated with experimental results, and can provide important insights into the underlying physics of this relatively new class of materials.
INTERNATIONAL JOURNAL OF PLASTICITY
(2022)
Article
Materials Science, Multidisciplinary
Chandra Prakash, Somnath Ghosh
Summary: This paper proposes a self-consistent homogenization framework for developing finite strain, elastic constitutive models of carbon fiber-epoxy composites for high strain-rate loading. The framework overcomes limitations of periodic boundary conditions on the RVE and incorporates micro-inertia effects.
MECHANICS OF MATERIALS
(2022)
Article
Chemistry, Physical
Maxwell Pinz, George Weber, Jean Charles Stinville, Tresa Pollock, Somnath Ghosh
Summary: This paper develops a probabilistic crack nucleation model for the Ni-based superalloy Rene 88DT under fatigue loading using a Bayesian inference approach. The underlying mechanisms driving crack nucleation are identified through a data-driven, machine learning approach. Experimental fatigue-loaded microstructures are characterized to correlate the grain morphology and crystallography to the crack nucleation sites. A multiscale model, incorporating experimental polycrystalline microstructures, is developed for fatigue simulations.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Engineering, Multidisciplinary
George Weber, Maxwell Pinz, Somnath Ghosh
Summary: This paper presents a concurrent multiscale modeling framework for developing parametrically-upscaled crystal plasticity models for crystalline metals with multiple phases in their intragranular microstructure. By combining physics-based modeling and machine learning methods, it enables analysis of deformation and failure in materials at multiple scales and provides location-specific design.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Mechanics
Yanrong Xiao, Xiaofan Zhang, Somnath Ghosh
Summary: This paper develops a validated 2-level parametrically-upscaled continuum damage mechanics (PUCDM) model for multiscale modeling of damage evolution in plain weave woven composites. The model accurately predicts the stress-strain and damage evolution with high computational efficiency. Machine learning methods are used to generate constitutive coefficients based on response variables from lower scale analysis.
COMPOSITE STRUCTURES
(2022)
Article
Mechanics
Yanrong Xiao, Xiaofan Zhang, Somnath Ghosh
Summary: In this paper, the two-level parametrically-upscaled continuum damage mechanics models are applied for multiscale analysis of plain weave composite structures. The models are validated through experiments and parametric studies, and the effect of lower-scale morphology and material properties on the structural damage response of the woven composite beams is investigated.
COMPOSITE STRUCTURES
(2022)
Article
Materials Science, Multidisciplinary
Shuo Hao, Lei Chen, Qixiang Jia, Wenbin Zhang, Yongxin Wang, Miao Jin, Shu Guo
Summary: The tensile behavior and the influence of strain-induced martensite transformation (SIMT) on a lean duplex stainless steel were studied. A new method was proposed to evaluate the strength increment induced by SIMT. The results showed that SIMT activation significantly increased the strength of the material.
MATERIALS CHARACTERIZATION
(2022)
Article
Polymer Science
Arunjyoti Sinha Roy, Nilanjan Mitra, Somnath Ghosh
Summary: This paper discusses the mechanisms of atomic-scale deformation in polyurea under applied loads, and explores the effects of strain rates, simulation constraints, and nanofillers on the overall response and properties of polyurea.
Article
Materials Science, Composites
Preetam Tarafder, Saikat Dan, Somnath Ghosh
Summary: This paper introduces a coupled electromechanical finite deformation phase field model for crack propagation and interfacial decohesion in multiphase piezoelectric composites with interfaces. The model incorporates cohesive traction-separation laws at the material interfaces and an anisotropic elastic stiffness function for the piezoelectric material. Numerical simulations demonstrate the efficacy of the model in capturing different failure mechanisms and investigating the effects of external electric fields and crack face conditions on crack evolution. Limited verification tests are also conducted, and the model is used to simulate fracture in nonuniform piezocomposite microstructures.
JOURNAL OF COMPOSITE MATERIALS
(2023)
Article
Materials Science, Composites
Chandra Prakash, Somnath Ghosh
Summary: This paper develops a Parametrically Upscaled Continuum Damage Mechanics (PUCDM) model for carbon fiber/epoxy matrix composites subjected to high strain-rate loading. The model takes into account the microstructural morphology and micro-inertia in its constitutive coefficients. By using a concurrent multiscale model, the effect of micro-inertia and stress wave interaction with the microstructure is considered. Simulations using the concurrent model analyze stress wave propagation and damage evolution in composite microstructures with different fiber volume fractions at multiple strain rates. Results show the importance of considering micro-inertia, strain rates, and microstructure morphology in the PUCDM-based stiffness and damage model parameters for high strain-rates above 10⁴ s⁻¹.
JOURNAL OF COMPOSITE MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Jinlei Shen, Vasisht Venkatesh, Ryan Noraas, Somnath Ghosh
Summary: This paper develops a parametrically upscaled constitutive and crack nucleation modeling platform for predicting structural-scale fatigue crack nucleation in Ti-6Al-4V alloys with micro-texture regions (MTRs). The platform bridges micro and macro scales by incorporating representative aggregated microstructural parameters (RAMPs) in macroscopic constitutive relations. A novel RAMP k(MTR)(theta c) is proposed to quantitatively represent MTR intensity in the microstructure. The impact of MTR characteristics on fatigue crack nucleation is evaluated through SVR-aided Sobol analysis. Results show a reduction in nucleation life with a higher level of MTR intensity.
Article
Mechanics
Kishore Appunhi Nair, Somnath Ghosh
Summary: This paper develops a method for considering the influence of dislocations nucleating from a crack-tip on the plasticity evolution and crack propagation process. A model is created to transfer and propagate dislocations from the atomistic to continuum domain and generate a dataset of crack tip dislocation density evolution. The critical state variables affecting the evolution of crack tip dislocation density are inferred through Bayesian inference, and the evolution of dislocation density is derived using genetic programming based symbolic regression. The contribution of nucleated dislocations to effective plastic strain evolution at the crack tip is validated, showing the importance of this augmentation on crack evolution.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2023)
Article
Engineering, Industrial
Wenbin Zhang, Shuo Hao, Xiaolong Li, Shengjie Liu, Shu Guo, Lei Chen, Miao Jin
Summary: Transformation-induced plasticity (TRIP) assisted duplex stainless steels (DSSs) exhibit a complex microstructure during tensile deformation due to strain-induced martensitic transformation (SIMT). In this study, the nucleation characteristics of martensite in the metastable austenite phase were investigated using in-situ tensile testing and crystal plasticity finite element method (CPFEM). The results showed that the nucleation-controlled SIMT criteria were integrated into the crystal plasticity model, and the accuracy of the model was verified by the evolution of martensite volume fraction and phase transition positions. The martensitic transformation hindered the deformation of the austenite and improved the coordination of deformation in the austenite + martensite system.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Jing Li, Xi Wang, Shu Guo, Jiawei Qi, Shuang Chen, Yiwen Luo, Shiyan Zhao
Summary: This study investigates the effects of continuous annular-shaped branch channels on the performance of conductive composites. The results show that the composite conductor with continuous annular-shaped branch channels has higher stretchability and excellent conductive stability. This research is important for the development of flexible electronics.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Multidisciplinary
Akshay J. Thomas, Mateusz Jaszczuk, Eduardo Barocio, Gourab Ghosh, Ilias Bilionis, R. Byron Pipes
Summary: We propose a physics-guided transfer learning approach to predict the thermal conductivity of additively manufactured short-fiber reinforced polymers using micro-structural characteristics obtained from tensile tests. A Bayesian framework is developed to transfer the thermal conductivity properties across different extrusion deposition additive manufacturing systems. The experimental results demonstrate the effectiveness and reliability of our method in accounting for epistemic and aleatory uncertainties.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis
Summary: In this study, deep learning and artificial intelligence were used to discover a mathematical model for the progression of Alzheimer's disease. By analyzing longitudinal tau positron emission tomography data, a reaction-diffusion type partial differential equation for tau protein misfolding and spreading was discovered. The results showed different misfolding models for Alzheimer's and healthy control groups, indicating faster misfolding in Alzheimer's group. The study provides a foundation for early diagnosis and treatment of Alzheimer's disease and other misfolding-protein based neurodegenerative disorders using image-based technologies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jonghyuk Baek, Jiun-Shyan Chen
Summary: This paper introduces an improved neural network-enhanced reproducing kernel particle method for modeling the localization of brittle fractures. By adding a neural network approximation to the background reproducing kernel approximation, the method allows for the automatic location and insertion of discontinuities in the function space, enhancing the modeling effectiveness. The proposed method uses an energy-based loss function for optimization and regularizes the approximation results through constraints on the spatial gradient of the parametric coordinates, ensuring convergence.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Bodhinanda Chandra, Ryota Hashimoto, Shinnosuke Matsumi, Ken Kamrin, Kenichi Soga
Summary: This paper proposes new and robust stabilization strategies for accurately modeling incompressible fluid flow problems in the material point method (MPM). The proposed approach adopts a monolithic displacement-pressure formulation and integrates two stabilization strategies to ensure stability. The effectiveness of the proposed method is validated through benchmark cases and real-world scenarios involving violent free-surface fluid motion.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Chao Peng, Alessandro Tasora, Dario Fusai, Dario Mangoni
Summary: This article discusses the importance of the tangent stiffness matrix of constraints in multibody systems and provides a general formulation based on quaternion parametrization. The article also presents the analytical expression of the tangent stiffness matrix derived through linearization. Examples demonstrate the positive effect of this additional stiffness term on static and eigenvalue analyses.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Thibaut Vadcard, Fabrice Thouverez, Alain Batailly
Summary: This contribution presents a methodology for detecting isolated branches of periodic solutions to nonlinear mechanical equations. The method combines harmonic balance method-based solving procedure with the Melnikov energy principle. It is able to predict the location of isolated branches of solutions near families of autonomous periodic solutions. The relevance and accuracy of this methodology are demonstrated through academic and industrial applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Weisheng Zhang, Yue Wang, Sung-Kie Youn, Xu Guo
Summary: This study proposes a sketch-guided topology optimization approach based on machine learning, which incorporates computer sketches as constraint functions to improve the efficiency of computer-aided structural design models and meet the design intention and requirements of designers.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Leilei Chen, Zhongwang Wang, Haojie Lian, Yujing Ma, Zhuxuan Meng, Pei Li, Chensen Ding, Stephane P. A. Bordas
Summary: This paper presents a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi-frequency electromagnetic scattering problems. The proposed method utilizes a series expansion technique and the second-order Arnoldi procedure to reduce the order of original systems. It also employs the isogeometric boundary element method to ensure geometric exactness and avoid re-meshing during shape optimization. The Grey Wolf Optimization-Artificial Neural Network is used as a surrogate model for shape optimization, with radar cross section as the objective function.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
C. Pilloton, P. N. Sun, X. Zhang, A. Colagrossi
Summary: This paper investigates the smoothed particle hydrodynamics (SPH) simulations of violent sloshing flows and discusses the impact of volume conservation errors on the simulation results. Different techniques are used to directly measure the particles' volumes and stabilization terms are introduced to control the errors. Experimental comparisons demonstrate the effectiveness of the numerical techniques.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Ye Lu, Weidong Zhu
Summary: This work presents a novel global digital image correlation (DIC) method based on a convolution finite element (C-FE) approximation. The C-FE based DIC provides highly smooth and accurate displacement and strain results with the same element size as the usual finite element (FE) based DIC. The proposed method's formulation and implementation, as well as the controlling parameters, have been discussed in detail. The C-FE method outperformed the FE method in all tested examples, demonstrating its potential for highly smooth, accurate, and robust DIC analysis.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Pavel Trojovsky, Laith Abualigah, Eva Trojovska
Summary: This paper introduces Lung performance-based optimization (LPO), a novel algorithm that draws inspiration from the efficient oxygen exchange in the lungs. Through experiments and comparisons with contemporary algorithms, LPO demonstrates its effectiveness in solving complex optimization problems and shows potential for a wide range of applications.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jingyu Hu, Yang Liu, Huixin Huang, Shutian Liu
Summary: In this study, a new topology optimization method is proposed for structures with embedded components, considering the tension/compression asymmetric interface stress constraint. The method optimizes the topology of the host structure and the layout of embedded components simultaneously, and a new interpolation model is developed to determine interface layers between the host structure and embedded components.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Qiang Liu, Wei Zhu, Xiyu Jia, Feng Ma, Jun Wen, Yixiong Wu, Kuangqi Chen, Zhenhai Zhang, Shuang Wang
Summary: In this study, a multiscale and nonlinear turbulence characteristic extraction model using a graph neural network was designed. This model can directly compute turbulence data without resorting to simplified formulas. Experimental results demonstrate that the model has high computational performance in turbulence calculation.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Jacinto Ulloa, Geert Degrande, Jose E. Andrade, Stijn Francois
Summary: This paper presents a multi-temporal formulation for simulating elastoplastic solids under cyclic loading. The proper generalized decomposition (PGD) is leveraged to decompose the displacements into multiple time scales, separating the spatial and intra-cyclic dependence from the inter-cyclic variation, thereby reducing computational burden.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Multidisciplinary
Utkarsh Utkarsh, Valentin Churavy, Yingbo Ma, Tim Besard, Prakitr Srisuma, Tim Gymnich, Adam R. Gerlach, Alan Edelman, George Barbastathis, Richard D. Braatz, Christopher Rackauckas
Summary: This article presents a high-performance vendor-agnostic method for massively parallel solving of ordinary and stochastic differential equations on GPUs. The method integrates with a popular differential equation solver library and achieves state-of-the-art performance compared to hand-optimized kernels.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
