Article
Plant Sciences
Domen Macek, Hagen Holthusen, Annabell Rjosk, Stephan Ritzert, Thea Lautenschlaeger, Christoph Neinhuis, Jaan-Willem Simon, Stefanie Reese
Summary: In this study, the anatomy and mechanical properties of Stephania japonica leaves are investigated through displacement driven tensile tests, compression tests, light microscopy, and X-ray tomography. The experiments reveal a viscoelastic behavior and a matrix material reinforced by fibers. A continuum mechanical anisotropic viscoelastic material model is proposed to describe this behavior.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Biochemical Research Methods
Fen Yang, Wei Chen, Zhongjiang Chen
Summary: Cellular biomechanical properties play a crucial role in understanding the biological functions related to health and disease. Existing methods for measuring these properties require physical contact or pre-loading on cells. In this study, we have developed a load-free technique called photoacoustic micro-viscoelastography (PAMVE), which utilizes the phase characteristics of the photoacoustic response. PAMVE allows for local measurement of viscoelasticity in cells, such as macrophages and red blood cells, at the micrometer scale. Additionally, PAMVE can differentiate between adipose cells and skeletal muscle cells based on their composition-related biomechanical properties. This technique offers a valuable option for studying cellular mechanobiology and pathophysiology.
JOURNAL OF BIOPHOTONICS
(2023)
Review
Biochemical Research Methods
Yanyu Gu, Chuang Zhang, Yiwei Zhang, Wenjun Tan, Xiaobin Yu, Tianbiao Zhang, Lianqing Liu, Ying Zhao, Lina Hao
Summary: Cell models can express a variety of cell information, and their analysis allows for a comprehensive understanding of cell physiology. This paper systematically reviews the development of various cell mechanical models, including continuum theoretical models and microstructural models. The strengths and weaknesses of each model are analyzed, and potential challenges and applications in the development of cell mechanical models are discussed.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Zhuo Chang, Liqiang Zhang, Jiu-Tao Hang, Wenjia Liu, Guang-Kui Xu
Summary: Understanding the dynamic mechanics of liver tissue is crucial for evaluating the severity and prognosis of liver pathologies. This study reveals the viscoelastic characteristics of livers and effectively captures the delicate changes in their dynamical mechanics using a self-similar hierarchical theory. Additionally, the study finds that liver fibrosis and MSCs therapy significantly alter the mechanical indexes and distribution characteristics of the liver.
Article
Polymer Science
Albert Serra-Aguila, Josep Maria Puigoriol-Forcada, Guillermo Reyes, Joaquin Menacho
Summary: A method was developed in this study to predict the tensile moduli of thermoplastic materials under different conditions, saving research time and reducing the number of tests. The method was validated and showed good results, being applicable to thermorheologically simple materials.
Article
Chemistry, Multidisciplinary
Yong Sun, Ziheng Lin, Fei Tian, Bo Sun, Xiaobin Zou, Chengxin Wang
Summary: This study demonstrates the design of silicon-based Mn5Si3@SiO2 nanocables through structure engineering, exhibiting diverse mechanical behaviors under different external conditions, including simplex elasticity, plasticity, and viscoelasticity. These tunable performances originate from the synergetic effects between the core and shell components, optimizing internal stress distribution and the dislocation evolution mechanism. The findings are significant for nanowire mechanical design and the expansion of strain-regulated three-dimensional multifunctional nanosystems.
Article
Polymer Science
Eun Seon Kim, Sung Hyun Kim, Sang-Jin Lee, Jae Heung Lee, Minseon Byeon, Dong Hack Suh, Woo Jin Choi
Summary: This study demonstrates a convenient technique for creating multiscale wrinkles on fluorocarbon thin films deposited on soft and stiff PDMS substrates by regulating the elastic properties of the substrates. The wrinkling structures were strongly influenced by the elastic properties of the substrate during a fluorocarbon polymer sputtering process, leading to different patterns on stiff and soft PDMS substrates.
Article
Engineering, Biomedical
Yan Hu, Yuanbo Jia, Siwei Wang, Yufei Ma, Guoyou Huang, Tan Ding, Dayun Feng, Guy M. Genin, Zhao Wei, Feng Xu
Summary: Injectable hydrogels have the potential to promote healing of brain lesions, but current challenges arise from the mismatch between the hydrogel and the brain tissue. This study develops a self-healing hydrogel that mimics the composition, stiffness, and viscoelasticity of native brain tissue, and shows promising results in an in vivo mouse model of brain lesions.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Biochemistry & Molecular Biology
Benjamin S. Hanson, Lorna Dougan
Summary: This study computationally investigates the effect of intermediate nanoscale structure on the formation of protein hydrogels, showing how changes in the polymeric building block impact force transmission in the system and provide insights into dynamic network formation processes. The preassembled intermediate structure offers a novel structural coordinate for hierarchical modulation of macroscopic network properties, contributing to a deeper understanding of general dynamics of network formation.
Article
Materials Science, Ceramics
Jamal Ahmad Khan, Yogita Maithani, Ray Hua Horng, J. P. Singh
Summary: The role of sintering on the microstructure and mechanical properties of ZnGa2O4 pellets was investigated in this study. It was found that the hardness and elastic modulus of the sintered pellets decrease with increased sintering duration. In addition, ZnGa2O4 ceramics show the reverse indentation size effect and have a high storage modulus and low damping factor.
CERAMICS INTERNATIONAL
(2022)
Article
Polymer Science
Constantin Stochioiu, Anton Hadar, Benoit Piezel
Summary: The present study investigated the complex time-dependent material behavior of flax fiber-reinforced plastics. The results showed an elastic bi-linear behavior with a yield point at approximately 20% of the ultimate tensile stress, and tensile moduli of 35.9 GPa and 26.3 GPa. This behavior is influenced by both the non-linear viscoelasticity of the matrix and the microstructural re-organization of the fiber reinforcement.
Article
Chemistry, Physical
Xiufeng Li, Jasper van der Gucht, Philipp Erni, Renko de Vries
Summary: Protein condensates resulting from liquid-liquid phase separation have been studied as bioadhesives and coating materials, and more recently as models for membraneless organelles in cells. This study demonstrates how colloidal probe atomic force microscopy can be used to investigate the interfacial mechanics and dynamic rheological properties of micro-scale protein condensates. The research findings reveal three characteristic frequency domains for the mechanics of micro-scale protein condensates, providing insight into their behavior in biology and technological applications.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Jiawei Lu, Hong Zhang, Yuemiao Chen, Yukai Ge, Tao Liu
Summary: Thermoplastic polyether ester elastomer (TPEE) foams were studied in this research, focusing on the effect of chain entanglement on mechanical properties, viscoelasticity, and CO2-foaming behavior. It was found that samples with stronger chain entanglement exhibited increased rigidity and reduced ductility, along with improved linear and nonlinear viscoelasticity. Additionally, the modified TPEE samples showed a higher expansion ratio and a wider foaming temperature window during the CO2-foaming process.
JOURNAL OF CO2 UTILIZATION
(2022)
Article
Polymer Science
Puchong Thaptong, Pongdhorn Sae-Oui, Pairote Jittham, Chakrit Sirisinha
Summary: This study focuses on the effects of hybrid filler ratio and SBR type on tire tread performance. Results show that a CB ratio of 40 wt% achieves a good balance of tire performance, and S-SBR provides better overall tire performance than E-SBR, especially in the silica-filled system.
JOURNAL OF APPLIED POLYMER SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Victor Hernandez, Robert S. Jordan, Ian M. Hill, Bohao Xu, Chenxi Zhai, Di Wu, Hansong Lee, John Misiaszek, Kiana Shirzad, Miguel F. Martinez, Ahmet Kusoglu, Jingjie Yeo, Yue Wang
Summary: This article describes a design strategy for electronic materials using conducting polymers that can dynamically adapt to deformation rates. By utilizing interconnected nanoscopic core-shell micelles, the shells retain material integrity under strain while the cores control the extent of elongation, adapting to deformation rates. A prototype based on polyaniline showed significant increases in ultimate elongation and toughness at increasing deformation rates. This concept can be applied to create self-protective soft electronic materials with enhanced durability.
Article
Mathematics, Interdisciplinary Applications
Ludwig Herrnboeck, Ajeet Kumar, Paul Steinmann
Summary: This work compares two different computational approaches for geometrically exact elastoplastic rods. The first approach uses a constitutive model based on stress resultants, while the second approach applies an FE2 approach that couples the macro-scale and micro-scale of the rod. A novel aspect of this work is the determination of a hardening tensor for use in the stress resultant approach. The mechanical response of both approaches is compared on material point level and for finitely and non-uniformly strained rods.
COMPUTATIONAL MECHANICS
(2023)
Article
Materials Science, Multidisciplinary
Lin Zhan, Siyu Wang, Shaoxing Qu, Paul Steinmann, Rui Xiao
Summary: Many classic hyperelastic models cannot accurately predict the stress responses of soft materials in complex loading conditions. We propose a new micro-macro transition approach integrated into a full network framework, which successfully captures the stress responses in multi-axial deformation modes for soft materials. We further develop a two-parameter hyperelastic model that exhibits greatly improved predictive ability for complex loading types compared to other existing models.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Materials Science, Multidisciplinary
Miguel Angel Moreno-Mateos, Mokarram Hossain, Paul Steinmann, Daniel Garcia-Gonzalez
Summary: Pre-existing flaws in highly stretchable elastomers can cause fractures under large deformations. This study shows that ultra-soft magnetorheological elastomers with remanent magnetization have 50% higher fracture toughness compared to non-pre-magnetized samples. The opening of cracks in pre-magnetized elastomers is delayed due to crack closure induced by the magnetic field. Numerical simulations also reveal that pre-magnetized elastomers have reduced stress concentration at the crack tip. This work reveals potential applications for functional actuators with improved fracture behavior and performance under cyclic loading.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Computer Science, Interdisciplinary Applications
Anna Titlbach, Areti Papastavrou, Andrew McBride, Paul Steinmann
Summary: In this study, a novel phenomenological approach based on a micromorphic formulation is proposed to consider the trabecular microstructure and non-local characteristics of bone in continuum bone remodelling. The influence of characteristic size and coupling between macro- and microscale deformation is analyzed through benchmark examples. The results demonstrate that the micromorphic formulation effectively captures the interaction between continuum points at the macroscale and their neighborhood, affecting the distribution of bone density at the macroscale.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2023)
Article
Mechanics
Ieuan Collins, Marco Contino, Claudia Marano, Ian Masters, Mokarram Hossain
Summary: The response of elastomeric polymers depends on composition, temperature, and loading history. Hysteresis, dissipation, and creep are important considerations for elastomer membrane wave energy converters. Natural rubber is a good candidate due to its stretchability, resistance to the environment, and fatigue properties.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2023)
Article
Materials Science, Multidisciplinary
Lucie Spannraft, Paul Steinmann, Julia Mergheim
Summary: This article proposes a generalized mechanical interface model for nonlinear kinematics. The interface's response allows for jump in deformations, cohesive failure, and interfacial (in)elasticity. An anisotropic cohesive law is formulated to induce additional shear-like stresses within the interface. Damage variables are used to couple cohesive and membrane degradations, considering the interaction between different deformation modes. The model is thermodynamically consistent and fulfills the balance equations and material frame indifference. Numerical examples demonstrate the influence of damage coupling on the mechanical response of adhesive layers.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Materials Science, Multidisciplinary
Lin Zhan, Siyu Wang, Shaoxing Qu, Paul Steinmann, Rui Xiao
Summary: In this work, a general approach based on continuum damage mechanics is proposed to model the Mullins effect in soft composites. One-dimensional and three-dimensional damage models are formulated, which successfully describe the stress response in loading-unloading cycles and the anisotropic response of predeformed materials.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Multidisciplinary Sciences
Mohd Halim Bin Mohd Shariff, Roger Bustamante, Mokarram Hossain
Summary: This paper improves the existing literature by developing a time-dependent electromagnetic constitutive equation to describe the mechanical behavior of soft solids at finite strains, considering the full form of the Maxwell equations. The proposed model introduces a symmetrical total stress and utilizes recently developed spectral invariants in the amended energy function, making it relatively simple and suitable for finite element analysis.
Review
Materials Science, Multidisciplinary
Ali Tariq, Zia Ullah Arif, Muhammad Yasir Khalid, Mokarram Hossain, Peerzada Ifham Rasool, Rehan Umer, Seeram Ramakrishna
Summary: Stimuli-responsive polymers are special soft materials that can change their shape and function in response to external stimuli. The combination of 3D printing technology with these polymers has great potential for creating complex, personalized, and innovative structures.
ADVANCED ENGINEERING MATERIALS
(2023)
Article
Engineering, Environmental
Mingqi Chen, Guangjie Song, Bin Ren, Lin Cai, Mokarram Hossain, Chunyu Chang
Summary: Researchers have developed two types of chiral spring-shaped hydrogel artificial muscles through shaping processes. Homochiral muscles can rapidly expand under near infrared irradiation, while heterochiral muscles contract quickly under the same conditions. This work provides an innovative strategy for developing tough hydrogel muscles with opposite chiralities.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Mechanics
J. Crespo-Miguel, D. Garcia-Gonzalez, G. Robles, M. Hossain, J. M. Martinez-Tarifa, A. Arias
Summary: Conductive polymeric composites, filled with conductive particles, are used in material extrusion printers to provide electrical properties to insulating materials. However, the degradation of mechanical behavior during and after the application of electric currents remains unexplored. This study addresses these questions by characterizing a 3D printed conductive Polylactic Acid (PLA)/ Carbon Black (CB) composite through a range of electric fields and temperatures. The results show that the material's electrical conductivity and mechanical stiffness are enhanced when printed parallel to the electro-mechanical loading, but thermal effects due to Joule heating can lead to material degradation.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Zhanfeng Li, Chennakesava Kadapa, Mokarram Hossain, Jiong Wang
Summary: This paper establishes a finite element framework to study the electro-mechanical response in growing materials such as biological tissues and hydrogels. By understanding the coupled effects of growth and electric fields on deformation behavior, it is possible to precisely control the bending angle by adjusting growth parameters and external voltage, as well as simulate pattern formation and transition behavior. This method provides an accurate, efficient, and stable tool for numerical simulation of electro-elastic solids incorporating growth effect, which can be used for understanding coupled growth phenomenon in biological soft matter and developing smart devices for medical treatment.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Simon Wiesheier, Julia Mergheim, Paul Steinmann
Summary: This article introduces a new data-adaptive approach for modeling hyperelastic rubber-like materials at finite strains. This approach combines the advantages of phenomenological modeling with data-driven methods by directly including experimental data in calculations. Numerical examples demonstrate the ability of the approach to re-identify a certain number of parameters.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Chemistry, Applied
Jingwei Cui, Mokarram Hossain, Zaigui Wang, Chunyu Chang
Summary: This research presents a green development strategy for stabilizing O/W Pickering emulsions using enzymatically prepared nanocellulose (ENC). ENC has low Zeta potential and oil/water interfacial tension, facilitating the formation of stable Pickering emulsions. The study investigates the emulsification characteristics of ENC and establishes the interfacial adsorption behavior and concentration-dependent phase behavior of ENC-stabilized Pickering emulsions. Due to strong particle-particle and interface-particle interactions dominated by van der Waals forces and hydrogen bonding, ENC-stabilized Pickering emulsions exhibit excellent stability under different conditions.
FOOD HYDROCOLLOIDS
(2023)
Article
Mechanics
Farzam Dadgar-Rad, Amirhossein N. Dorostkar, Mokarram Hossain
Summary: This paper presents a finite growth formulation for shell-like soft tissues under mechanical loading, and demonstrates that the present formulation can successfully predict the finite growth and deformation of the tissues under mechanical input.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
(2023)
Correction
Materials Science, Multidisciplinary
A. D. Boccardo, M. Tong, S. B. Leen, D. Tourret, J. Segurado
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tao Li, Qing Hou, Jie-chao Cui, Jia-hui Yang, Ben Xu, Min Li, Jun Wang, Bao-qin Fu
Summary: This study investigates the thermal and defect properties of AlN using molecular dynamics simulation, and proposes a new method for selecting interatomic potentials, developing a new model. The developed model demonstrates high computational accuracy, providing an important tool for modeling thermal transport and defect evolution in AlN-based devices.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Shin-Pon Ju, Chao-Chuan Huang, Hsing-Yin Chen
Summary: Amorphous boron nitride (a-BN) is a promising ultralow-dielectric-constant material for interconnect isolation in integrated circuits. This study establishes a deep learning potential (DLP) for different forms of boron nitride and uses molecular dynamics simulations to investigate the mechanical behaviors of a-BN. The results reveal the structure-property relationships of a-BN, providing useful insights for integrating it in device applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. Salman, S. Schmauder
Summary: Shape memory polymer foams (SMPFs) are lightweight cellular materials that can recover their undeformed shape through external stimulation. Reinforcing the material with nano-clay filler improves its physical properties. Multiscale modeling techniques can be used to study the thermomechanical response of SMPFs and show good agreement with experimental results.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Laura Gueci, Francesco Ferrante, Marco Bertini, Chiara Nania, Dario Duca
Summary: This study investigates the acidity of 30 Bronsted sites in the beta-zeolite framework and compares three computational methods. The results show a wide range of deprotonation energy values, and the proposed best method provides accurate calculations.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
K. A. Lopes Lima, L. A. Ribeiro Junior
Summary: Advancements in nanomaterial synthesis and characterization have led to the discovery of new carbon allotropes, including biphenylene network (BPN). The study finds that BPN lattices with a single-atom vacancy exhibit higher CO2 adsorption energies than pristine BPN. Unlike other 2D carbon allotropes, BPN does not exhibit precise CO2 sensing and selectivity by altering its band structure configuration.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Jay Kumar Sharma, Arpita Dhamija, Anand Pal, Jagdish Kumar
Summary: In this study, the quaternary Heusler alloys LiAEFeSb were investigated for their crystal structure, electronic properties, and magnetic behavior. Density functional theory calculations revealed that LiSrFeSb and LiBaFeSb exhibit half-metallic band structure and 100% spin polarization, making them excellent choices for spintronic applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Roman A. Eremin, Innokentiy S. Humonen, Alexey A. Kazakov, Vladimir D. Lazarev, Anatoly P. Pushkarev, Semen A. Budennyy
Summary: Computational modeling of disordered crystal structures is essential for studying composition-structure-property relations. In this work, the effects of Cd and Zn substitutions on the structural stability of CsPbI3 were investigated using DFT calculations and GNN models. The study achieved accurate energy predictions for structures with high substitution contents, and the impact of data subsampling on prediction quality was comprehensively studied. Transfer learning routines were also tested, providing new perspectives for data-driven research of disordered materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Zhixin Sun, Hang Dong, Yaohui Yin, Ai Wang, Zhen Fan, Guangyong Jin, Chao Xin
Summary: In this study, the crystal structure, electronic structure, and optical properties of KH2PO4: KDP crystals under different pressures were investigated using the generalized gradient approximate. It was found that high pressure caused a phase transition in KDP and greatly increased the band gap. The results suggest that high pressure enhances the compactness of KDP and improves the laser damage threshold.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tingting Yu
Summary: This study presents atomistic simulations revealing that an increase in driving force may result in slower grain boundary movement and switches in the mode of grain boundary shear coupling migration. Shear coupling behavior is found to effectively alleviate stress and holds potential for stress relaxation and microstructure manipulation in materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Zhang, X. Q. Deng, Q. Jing, Z. S. Zhang
Summary: The electronic properties of C2N/antimonene van der Waals heterostructure are investigated using density functional theory. The results show that by applying horizontal strain, vertical strain, electric field, and interlayer twist, the electronic structure can be adjusted. Additionally, the band alignment and energy states of the heterostructure can be significantly changed by applying vertical strain on the twisted structure. These findings are important for controlling the electronic properties of heterostructures.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Chad E. Junkermeier, Evan Larmand, Jean-Charles Morais, Jedediah Kobebel, Kat Lavarez, R. Martin Adra, Jirui Yang, Valeria Aparicio Diaz, Ricardo Paupitz, George Psofogiannakis
Summary: This study investigates the adsorption properties of carbon dioxide (CO2), methane (CH4), and dihydrogen (H2) in carbophenes functionalized with different groups. The results show that carbophenes can be promising adsorbents for these gases, with high adsorption energies and low desorption temperatures. The design and combination of functional groups can further enhance their adsorption performance.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Borges, L. Huber, H. Zapolsky, R. Patte, G. Demange
Summary: Grain boundary structure is closely related to solute atom segregation, and machine learning can predict the segregation energy density. The study provides a fresh perspective on the relationship between grain boundary structure and segregation properties.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. R. Jones, L. T. W. Fey, I. J. Beyerlein
Summary: In this work, a three-dimensional ab-initio informed phase-field-dislocation dynamics model combined with Langevin dynamics is used to investigate glide mechanisms of edge and screw dislocations in Nb at finite temperatures. It is found that the screw dislocation changes its mode of glide at two distinct temperatures, which coincides with the thermal insensitivity and athermal behavior of Nb yield strengths.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Joshua A. Vita, Dallas R. Trinkle
Summary: This study introduces a new machine learning model framework that combines the simplicity of spline-based potentials with the flexibility of neural network architectures. The simplified version of the neural network potential can efficiently describe complex datasets and explore the boundary between classical and machine learning models. Using spline filters for encoding atomic environments results in interpretable embedding layers that can incorporate expected physical behaviors and improve interpretability through neural network modifications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
