Article
Computer Science, Interdisciplinary Applications
D. S. Prado, R. C. R. Amigo, R. W. Hewson, E. C. N. Silva
Summary: Adsorption phenomena are important in engineering applications, particularly in gas storage tanks. The distribution of phase change materials and adsorbents is crucial for optimizing adsorption capacity. The study introduces two approaches for optimizing adsorbent domains and discusses the results for different conditions, showing the advantages of FGM optimization over a homogeneous distribution model in cylindrical geometry.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Fabio M. Conde, Pedro G. Coelho, Jose M. Guedes
Summary: This research focuses on the topology optimization of periodic composite material unit cell under multi-material setting, showing that multi-material microstructures can be stiffer compared to single-material ones. Lower stress peaks are obtained in bi-material design solutions, especially in the case of graded material solutions, which excel in stress mitigation. The multi-material setting impacts favorably on structural performance, in terms of both stiffness and strength-oriented designs.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Forestry
Yusuf Akinbade, Ian Nettleship, Christopher Papadopoulos, Kent A. Harries
Summary: This study develops a framework and computational tools to evaluate the material and mechanical properties of bamboo in its full-culm form, including a numerical model with functionally graded material properties. The random field method is introduced to quantify uncertainty in bamboo measurements. Four different approaches to model bamboo circumferential compression tests are presented and compared with experimental results. The study raises questions about whether the functionally graded behavior of bamboo can truly be captured using the rule of mixtures.
WOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Civil
Jianghuai Li
Summary: This study proposes new finite element methods for functionally graded piezoelectric shells that can accurately, efficiently, and comprehensively describe such structures. The shell element is treated as a three-dimensional continuum and its middle surface is represented with a quadrilateral spectral element. The shell geometry is described by scaling the middle surface along the thickness, while the displacements and electric potential are approximated using consistent quadratic Lagrange interpolation. The developed approach is verified by solving piezoelectric or functionally graded plate problems with reference solutions. The influence of power-law index and span-to-thickness ratio on the static and free vibration behaviors of the functionally graded structures is investigated and the optimal value of lambda for general functionally graded shells is determined.
THIN-WALLED STRUCTURES
(2023)
Article
Mechanics
Yajun Cao, Huaiwei Huang, Yifei Ding
Summary: This paper proposes an isogeometric optimization method to optimize the material distribution of piezoelectric functionally graded material (PFGM) energy harvester. By conducting numerical examples, the convergence and accuracy of the optimization results, as well as the effects of the metallic volume ratio constraint and the initial design domain on the optimized material distribution, are studied.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Mechanical
Talal Salem, Pengcheng Jiao, Imen Zaabar, Xuyang Li, Ronghua Zhu, Nizar Lajnef
Summary: Research on bilaterally constrained FGM beams with programmable material functions was conducted, using 3D printing techniques and theoretical and numerical models to investigate postbuckling response. It was found that optimizing material functions can control structural instability, allowing for guided design in various applications.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Mechanics
R. C. Batra, Lisha Yuan
Summary: The study focuses on the flexural deformations of functionally graded beams, providing analytical solutions for beams bent into nearly complete circles. The research finds that material gradations significantly affect the required bending moment and stresses. By adjusting material parameter gradients, stress distributions can be controlled to alter the location of the maximum stress, potentially influencing where failure occurs in the beam.
COMPOSITE STRUCTURES
(2021)
Article
Mechanics
Thanh T. Banh, Nam G. Luu, Dongkyu Lee
Summary: This study introduces an effective non-homogeneous multi-material topology optimization paradigm for functionally graded structures, incorporating cracked and non-cracked cases. By utilizing X-FEM and pb-CG, efficient analysis of discontinuous states and reduction of design variables are achieved. The methodology also includes a block Gauss-Seidel-alternating active-phase algorithm for converting optimization problems, showing promising efficiency and reliability through numerical testing.
COMPOSITE STRUCTURES
(2021)
Article
Mechanics
Seymur Hasanov, Ankit Gupta, Frank Alifui-Segbaya, Ismail Fidan
Summary: This research investigates the characterization of Functionally Graded Materials (FGMs) fabricated by fused filament fabrication (FFF), focusing on the effects of direct and gradual transition fiber reinforcement on interface strength and material properties. The study demonstrates that homogenization and finite element analysis can accurately predict the effective properties of FFF-made FGMs, with homogenized values closely matching experimental results. Overall, this work represents an important step towards enabling effective design and analysis of composite structures through experimental characterization and computational methodology.
COMPOSITE STRUCTURES
(2021)
Article
Materials Science, Multidisciplinary
Pengchong Zhang, Chengzhi Qi, Xu Sun, Hongyuan Fang, Yesheng Huang
Summary: This study investigates the transverse bending behaviors of in-plane bidirectional functionally graded piezoelectric material plates using the scaled boundary finite element method and precise integration method. The proposed method allows for exploring the structural characteristics of the plates with arbitrary mathematical functions for the material coefficients. The study provides insights into the effects of geometrical shapes, gradient functions, loadings, and thickness-to-span ratios on the static flexure of FGPM plates.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Mechanics
Humberto Breves Coda, Caio Cesar La-Cava Gonsalves Bernardo, Rodrigo Ribeiro Paccola
Summary: In this study, an alternative finite element formulation was proposed to solve two-dimensional laminated and functionally graded bar elements with continuum transverse stress distribution. The formulation includes enhancements to impose continuous transverse shear stress and was validated by comparing with literature results.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Manufacturing
Mirhan Ozdemir, Ugur Simsek, Gullu Kiziltas, Cemal Efe Gayir, Alican Celik, Polat Sendur
Summary: Triply periodic minimum surface (TPMS) lattice structures have gained interest in engineering applications due to their excellent mechanical properties. Hybridization of different lattice types is proposed to enhance the design performance. In this study, a hybrid optimization scheme based on genetic algorithms and anisotropic homogenization-based topology optimization is applied to a MBB beam design. The best lattice morphology is identified using GA and then further optimized using homogenization-based topology optimization. The graded multi-morphology lattice is reconstructed using a blending algorithm and manufactured using the DMLM technique. Experimental results show that the stiffness of the graded multi-morphology structure is higher than the graded and uniform single lattice morphologies.
ADDITIVE MANUFACTURING
(2023)
Article
Engineering, Aerospace
Tapaswinee Das, Jayanta Kumar Nath
Summary: A zigzag theory with electromechanical coupling is introduced for static and free vibration responses in functionally graded material plates bonded with piezoelectric layers, allowing for consideration of continuity and discontinuity in material properties at all interfaces. The displacement field approximation, made layer independent by using continuity conditions and zero traction conditions, has been used to derive analytical solutions for elastic and piezoelectric layer bonded FGM plates, with material properties varying continuously in the thickness direction for FGM layers and remaining constant in piezoelectric layers.
Article
Materials Science, Multidisciplinary
Ozlem Canpolat, Aykut Canakci, Fatih Erdemir
Summary: The performance of biomedical implants has been the focus of research. Functionally graded materials (FGM) have the potential to improve implant performance by mimicking bone structure. In this study, SS316L/Al2O3 FGM was successfully fabricated using the powder metallurgy technique, and its microstructure, corrosion resistance, and mechanical and bioactivity properties were investigated.
MATERIALS CHEMISTRY AND PHYSICS
(2023)
Article
Acoustics
Enda Zhang, Jinping Zhang, Bohui Chen, Changsheng Liu, Yu Zhan
Summary: In this study, the application of laser ultrasonic in TC4/Inconel718 functionally graded material was investigated using the finite element method. The influence of material interfaces and the material component of transition layers on ultrasound was specifically studied. The results showed that material interfaces can enhance the amplitude of the Rayleigh wave while attenuating and scattering the longitudinal wave and shear wave. The material component of transition layers indirectly affected the increased amplitude of the Rayleigh wave. Additionally, the ultrasound velocity in the functionally graded material decreased with increasing propagation depth. This research provides a suitable method for detecting functionally graded materials and lays the groundwork for the use of laser ultrasonic in this field.
Article
Mechanics
J. C. R. Albino, C. A. Almeida, I. F. M. Menezes, G. H. Paulino
Summary: This study examines the structural behavior of a steel catenary riser with a segment of functionally graded material at the touchdown zone. It is found that incorporating FGM in the riser configuration improves curvatures near the TDZ, which is critical for mitigating fatigue damage.
MECHANICS RESEARCH COMMUNICATIONS
(2021)
Article
Engineering, Multidisciplinary
Heng Chi, Yuyu Zhang, Tsz Ling Elaine Tang, Lucia Mirabella, Livio Dalloro, Le Song, Glaucio H. Paulino
Summary: A machine learning-based topology optimization framework is proposed, featuring online training, localized online training strategy, and online updating scheme. Numerical investigations and design examples demonstrate the high scalability and accuracy of the framework.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Oliver Giraldo-Londono, Glaucio H. Paulino
Summary: PolyStress is a Matlab implementation for topology optimization with local stress constraints, which addresses linear and material nonlinear problems. The implementation is based on PolyTop and utilizes a Newton-Raphson scheme and an augmented Lagrangian method to solve nonlinear elasticity and stress-constrained problems consistently.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Mechanical
Phanisri P. Pratapa, Ke Liu, Siva P. Vasudevan, Glaucio H. Paulino
Summary: This research investigates the folding kinematics of a Morph pattern structure through rigid panel assumptions, exploring the different modes and hybrid states that can be achieved. It discusses the interplay between local and global kinematics, studying how folding deformations can result in reprogrammable morphing behavior. Through numerical simulations, the study verifies the deformation characteristics predicted analytically.
JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME
(2021)
Article
Mechanics
Ke Liu, Tomohiro Tachi, Glaucio H. Paulino
Summary: This paper introduces a novel origami pattern called the Shrimp pattern, which is applied to multi-phase architected metamaterials that achieve phase transition mechanically through snap-through. By tessellating unit cells with different geometries, a complex yet navigable energy landscape is created, leading to multiple metastable phases of the material.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2021)
Article
Chemistry, Multidisciplinary
Fernando Senhora, Emily D. Sanders, Glaucio H. Paulino
Summary: Spinodal architected materials optimize design of multiscale structures by varying spinodal class, orientation, and porosity, leading to efficient material placement along stress trajectories with enhanced mechanical and biological functions.
ADVANCED MATERIALS
(2022)
Article
Engineering, Mechanical
Fufu Yang, Miao Zhang, Jiayao Ma, Zhong You, Ying Yu, Yan Chen, Glaucio H. Paulino
Summary: Resch patterns are tessellation origami patterns consisting of more than one type of polygons. They are generally rigid foldable but have a large number of degrees of freedom. In order to achieve one-DOF forms of triangular Resch pattern units, the thick-panel technique is employed to replace spherical linkages with spatial linkages. The compatibility among all the vertices is studied by kinematic analysis, and two design schemes are obtained to form a one-DOF origami structure.
MECHANISM AND MACHINE THEORY
(2022)
Article
Multidisciplinary Sciences
Qiji Ze, Shuai Wu, Jun Nishikawa, Jize Dai, Yue Sun, Sophie Leanza, Cole Zemelka, Larissa S. Novelino, Glaucio H. Paulino, Ruike Renee Zhao
Summary: Researchers have developed a magnetically actuated small-scale origami crawler with inplane contraction, which can crawl and steer in confined spaces. This crawler has magnetically tunable structural stiffness, allowing it to overcome large resistances, and it has the ability to store and release drugs internally, demonstrating its multifunctionality.
Article
Engineering, Mechanical
Diego Misseroni, Phanisri P. Pratapa, Ke Liu, Glaucio H. Paulino
Summary: This study presents a novel experimental setup for studying the Poisson effects in 2D origami tessellations. The setup was used to measure the Poisson's ratio of the Morph, Miura-ori, and Eggbox patterns, and the results were consistent with theory and simulations. This experimental technique can be applied to investigate other tunable properties of origami metamaterials.
EXTREME MECHANICS LETTERS
(2022)
Article
Chemistry, Multidisciplinary
Ke Liu, Phanisri P. Pratapa, Diego Misseroni, Tomohiro Tachi, Glaucio H. Paulino
Summary: This research explores the geometrical-frustration-induced anisotropy and inhomogeneity to achieve unique properties of metamaterials. Using a triclinic metamaterial system based on a Trimorph origami pattern, a folding motion is created that results in an unusual Poisson effect and reversible auxeticity. Tessellating tristable unit cells produces phenomena resembling linear and point defects due to geometric frustration. This frustration can be reprogrammed into distinct stable and inhomogeneous states by selecting the location of point defects. These findings have potential applications in wave propagation control and compliant microrobots.
ADVANCED MATERIALS
(2022)
Article
Engineering, Multidisciplinary
Fernando V. Senhora, Heng Chi, Yuyu Zhang, Lucia Mirabella, Tsz Ling Elaine Tang, Glaucio H. Paulino
Summary: This article proposes an artificial intelligence approach to accelerate topology optimization, capturing the underlying physics of the problem. The framework demonstrates effectiveness and scalability through various design examples.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
James McInerney, Glaucio H. Paulino, D. Zeb Rocklin
Summary: This study develops a formalism to investigate the interplay between geometric symmetries and functionality in origami crease patterns. It reveals that the anticommuting symmetry defines a class of crease pattern geometries with equal and opposite Poisson's ratios.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Interdisciplinary Applications
Oliver Giraldo-Londono, Jonathan B. Russ, Miguel A. Aguilo, Glaucio H. Paulino
Summary: This study presents a formulation for topology optimization of structures with constraints on the first principal stress, solved using the augmented Lagrangian method to consider local stress constraints. Numerical examples demonstrate the effectiveness of the framework for practical problems with numerous local constraints, such as the three-dimensional antenna support bracket with over one million constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Materials Science, Multidisciplinary
Jonathan B. Russ, Glaucio H. Paulino
Summary: In order to enhance structural resistance to material failure, numerous topology optimization formulations have been proposed. This research extends the former method by constraining local failure criteria in a manner inspired by typical gradient-enhanced damage models. The proposed formulation relies on linear physics during the optimization procedure, greatly increasing its speed and robustness. Additionally, the study investigates the size effect introduced by using a numerical model and provides select observations, such as spurious fin-like patterns that can emerge depending on the structure and loading conditions. Finally, the load capacity of each optimized design is verified through a post-optimization verification procedure unaffected by the design parameterization and material interpolation schemes.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Multidisciplinary Sciences
Fernando V. Senhora, Ivan F. M. Menezes, Glaucio H. Paulino
Summary: Topology optimization problems often focus on a single or a few discrete load cases, while practical structures are subjected to infinitely many load cases that vary in intensity, location, and direction. This study proposes a locally stress-constrained topology optimization method that considers continuously varying load directions to ensure structural integrity under more realistic loading conditions.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(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)
