{"title":"Structural descriptors evaluation for MoTa mechanical properties prediction with machine learning","authors":"Tingpeng Tao, Shu Li, Dechuang Chen, Shuai Li, Dongrong Liu, Xin Liu, Minghua Chen","doi":"10.1088/1361-651x/ad1cd1","DOIUrl":"https://doi.org/10.1088/1361-651x/ad1cd1","url":null,"abstract":"\u0000 Considering all possible crystal structures is essential in computer simulations of alloy properties, but using Density Functional Theory (DFT) is computationally impractical. To address this, four structural descriptors were evaluated using machine learning (ML) models to predict formation energy, elasticity and hardness of MoTa alloys. A total of 612 configurations were generated by the Clusters Approach to Statistical Mechanics (CASM) software and their corresponding material properties were calculated by DFT. As input features of ML models, the CORR and SOAP performed best (R2 > 0.90, some up to 0.99), followed by ACSF, while CM performed worst. Furthermore, SOAP shows excellent performance in extrapolation for larger supercell structures of the MoTa alloy system and transfer learning for the MoNb alloy system.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"26 5","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139444131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First-principles and machine learning investigation on A4BX6 halide perovskites","authors":"Pan Zheng, Yiru Huang, Lei Zhang","doi":"10.1088/1361-651x/ad16ef","DOIUrl":"https://doi.org/10.1088/1361-651x/ad16ef","url":null,"abstract":"The A<sub>4</sub>BX<sub>6</sub> molecular halide perovskites have received attention owing to their interesting optoelectronic properties at the molecular scale; however, a comprehensive dataset of their atomic structures and electronic properties and associated data-driven investigation are still unavailable now, which makes it difficult for inverse materials design for semiconductor applications (e.g. wide band gap semiconductor). In this manuscript, we employ data-driven methods to predict band gaps of A<sub>4</sub>BX<sub>6</sub> molecular halide perovskites via machine learning. A large virtual design database including 246 904 A<sub>4</sub>BX<sub>6</sub> perovskite samples is predicted via machine learning, based on the model trained using 2740 first-principles results of A<sub>4</sub>BX<sub>6</sub> molecular halide perovskites. In addition, symbolic regression-based machine learning is employed to identify more physically intuitive descriptors based on the starting first-principles dataset of A<sub>4</sub>BX<sub>6</sub> molecular halide perovskites. In addition, different ranking methods are employed to offer a comprehensive feature importance analysis for the halide perovskite materials. This study highlights the efficacy of machine learning-assisted compositional design of A<sub>4</sub>BX<sub>6</sub> perovskites, and the multi-dimensional database established here is valuable for future experimental validation toward perovskite-based wide band gap semiconductor materials.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"8 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139094110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunhai Liu, Benteng Che, Xiaowen Wang, Yiyao Luo, Hu Zhang, Ligao Liu, Penghui Xu
{"title":"Exploring the effects of temperature on the mechanical properties of high-entropy alloy (CoCrFeNiAl0.1) based on molecular dynamics simulation","authors":"Yunhai Liu, Benteng Che, Xiaowen Wang, Yiyao Luo, Hu Zhang, Ligao Liu, Penghui Xu","doi":"10.1088/1361-651x/ad111f","DOIUrl":"https://doi.org/10.1088/1361-651x/ad111f","url":null,"abstract":"In order to further explore the influence of temperature on the face-centered cubic (FCC) single-phase crystal CoCrFeNiAl<sub>0.1</sub>, we conducted a series of Nano-indentation experiments on CoCrFeNiAl<sub>0.1</sub> at different temperatures. At room temperature, the effects of indentation can convert a portion of CoCrFeNiAl<sub>0.1</sub>’s FCC phase into a funnel-shaped hexagonal close-packed (HCP) phase, resulting less deformation on the sides of the indenter. What we analyzed shows that CoCrFeNiAl<sub>0.1</sub>’s HCP phase has excellent heat resistance and mechanics, allowing CoCrFeNiAl<sub>0.1</sub> to maintain great properties in high-temperature environments. However, if <italic toggle=\"yes\">T</italic> ⩾ 1500 K, high temperature will decrease the number of the HCP phases and dislocation density, leading to an accelerated decline in material strength. This research can provide a theoretical relationship between temperature and microstructural evolution for the research and application of CoCrFeNiAl<sub>0.1</sub> in high-temperature environments.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"18 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139055808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical simulation of solar cell performance with copper-based layered perovskite using SCAPS-1D software","authors":"Aparna Thankappan","doi":"10.1088/1361-651x/ad104e","DOIUrl":"https://doi.org/10.1088/1361-651x/ad104e","url":null,"abstract":"Perovskite solar cells (PSCs) have garnered extensive research interest due to their potential for efficient, flexible, and cost-effective solar energy production, making them suitable for wearable and low-cost applications. In this study, we successfully synthesized layered copper-based perovskite materials, and subsequently conducted simulations using the Solar Cell Capacitance Simulator SCAPS-1D. This study introduces, a PSC structure with (CH<sub>3</sub>NH<sub>3</sub>)<sub>2</sub>CuCl<sub>4</sub> as the active layer. By employing a two-step chemical method, we have successfully synthesized (CH<sub>3</sub>NH<sub>3</sub>)<sub>2</sub>CuCl<sub>4</sub>, and its optical band gap was determined using Tauc’s extrapolation method. Utilizing the experimentally determined bandgap as the simulation input, we predicted a solar architecture consisting of glass substrate/fluorine-doped tin oxide/TiO<sub>2</sub>/(CH<sub>3</sub>NH<sub>3</sub>)<sub>2</sub>CuCl<sub>4</sub>/spiro-OMeTAD/Pt, which exhibited an impressive conversion efficiency of 27.93% along with a fill factor of 62.04%, <italic toggle=\"yes\">J</italic>\u0000<sub>sc</sub> of 34.39 mA cm<sup>−2</sup>, and <italic toggle=\"yes\">V</italic>\u0000<sub>oc</sub> of 1.31 V. Through the software, we conducted a comprehensive study on the impact of back metal contact, hole transport layer, electron transport layer, layer thickness, temperature, and defect density on the overall device performance. These results unveil the development of an environmentally friendly PSC based on methylammonium copper.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"23 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138687888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting multi-component, high-temperature metallic glasses by coupling empirical models, CALPHAD, and a genetic algorithm","authors":"Jerry Howard, Krista Carlson, L. Mushongera","doi":"10.1088/1361-651x/ad15a9","DOIUrl":"https://doi.org/10.1088/1361-651x/ad15a9","url":null,"abstract":"\u0000 Metallic glasses (MGs) are an emerging class of materials possessing multiple desirable properties including high strength, hardness, and corrosion resistance when compared to their crystalline counterparts. However, most previously studied MGs are not useful in high temperature environments because they undergo the glass transition phenomenon and crystallize below the melting point. In addition, bulk MGs are typically found in multi-component systems, meaning that searching compositional space with a reasonable resolution using computational or experimental methods can be costly. In this study, an in-house developed genetic algorithm-based tool was used to locate alloy compositions with high glass forming ability (GFA) and high-temperature stability in the Ta-Ni-Co-B alloy system. GFA was predicted using an empirical predictive parameter known as P_HSS. High-temperature stability was predicted using the CALPHAD method to calculate liquidus temperature. Justification for the use of P_HSS to predict GFA of high-temperature MGs, as well as the use of liquidus temperature as a predictor of general high-temperature stability, was given in the form of a meta-analysis of previously reported MG compositions. The predictions made using this algorithm were analyzed and are presented herein. While high-temperature stability was the property of interest for this research, this framework could be used in the future to locate alloys with other application-specific material properties. This genetic algorithm-based tool enables the coupling of empirical parameters and CALPHAD to efficiently search multi-component space to locate glass-forming alloys with desirable properties.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"12 10","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138972695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingting Sun, Z. Yuan, Meiling Tang, Peng Zheng, Yan He, Ying Wang
{"title":"Study on the surface microtexture microscopic friction and wear characteristics of 304 stainless steel","authors":"Jingting Sun, Z. Yuan, Meiling Tang, Peng Zheng, Yan He, Ying Wang","doi":"10.1088/1361-651X/ad15aa","DOIUrl":"https://doi.org/10.1088/1361-651X/ad15aa","url":null,"abstract":"In order to reveal the friction behaviour and wear mechanism of nanoscale textures on the friction pair of 304 stainless steel, molecular dynamics simulations were firstly used to investigate the effects of smooth and textured surfaces on the tribological properties of the stainless steel substrate, and then focus on the effects of sliding velocity and depth on the surface morphology, mechanical force, friction coefficient, anisotropy, stress, temperature and dislocations of the textured substrate. The results show that the temperature, friction, stress, and dislocation line length of the textured surface are relatively smaller than those of the non-textured surface, and the textured surface has a smaller and more stable friction factor, which ultimately leads to a reduction of the friction factor by about 0.090. When the sliding distance is 120 Å, the number of defective atoms in the textured substrate is reduced by 12.9%, and its anisotropy is more stable. At the same indentation depth, the average friction coefficient, temperature and anisotropy increase significantly with increasing sliding velocity. The average friction coefficient is maximum when the sliding velocity is increased to 400 m s−1, with a value of about 0.833. The sliding friction, friction coefficient, dislocation line length, number of defect atoms, number of stacked atoms, stress, temperature and anisotropy factor increase with increasing depth of abrasive indentation. The average friction coefficient is minimum at a sliding depth of 4 Å, with a value of about 0.556, and the number of defective atoms is reduced by 83.2%. This indicates that textured surface treatment of 304 stainless steel and selection of appropriate sliding parameters can effectively reduce the wear during the friction process and improve the wear resistance of the substrate.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"44 6","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Benabdellah, Djaafri toufik, Mohamed Mokhtari, Muhammad Salman Khan, A. Tawfeek, Hijaz Ahmad
{"title":"Investigating the electronic structure, elastic, magnetic, and thermoelectric nature of NiVXSc1-XSb quaternary half-Heusler alloys","authors":"G. Benabdellah, Djaafri toufik, Mohamed Mokhtari, Muhammad Salman Khan, A. Tawfeek, Hijaz Ahmad","doi":"10.1088/1361-651x/ad1493","DOIUrl":"https://doi.org/10.1088/1361-651x/ad1493","url":null,"abstract":"\u0000 The structural, electronic, magnetic, elastic, and thermoelectric properties of NiVxSc1-xSb half Heusler alloys with different compositions were investigated employing a self-consistent first-principles-based calculation that uses the full-potential linearized-augmented-plane-wave method. The structural characteristics, such as the bulk modulus and lattice constants, are examined with various vanadium concentrations. The accurately modified Becke Johnson potential was used to calculate the band gap energies. The equilibrium lattice parameter of NiScSb type-I structure has the lowest energy and seems to be most stable among the other configurations with a lattice constant value of 6.04 Å, which deviates from the experimental results by up to 0.5%. The bulk modulus rises as the lattice constant decreases. The ground states of the studied alloy structures are dynamically stable, as concluded by the non-existence of negative phonon frequency. The band structure of NiScSb (for x = 0) was predicted as a non-magnetic semiconductor with an indirect band nature, and an energy gap value of 0.244 eV along (Γ-point > X). This tendency was further supported by the symmetrical shape of the curves that reflect the densities of states for these configuration channels. The thermoelectric characteristics of these various combinations were also thoroughly investigated and discussed.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"36 23","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical simulation of nanosecond laser drilling of 316L stainless steel: addition of laser focus and analysis of manufacturing process","authors":"Junliang Zhao, Chen Li, Jing Wang","doi":"10.1088/1361-651x/ad0e79","DOIUrl":"https://doi.org/10.1088/1361-651x/ad0e79","url":null,"abstract":"A two-dimensional model of nanosecond laser drilling 316L stainless steel was established with the consideration of laser focus, which was indeed different from the original two-phase flow model without laser focus, especially in the temperature field, velocity field, surface morphology and hole depth. Simulation and experiment of drilling holes with different laser repetition frequencies (100 kHz, 50 kHz and 20 kHz) were carried out. The results show that manufacturing process could divide into three stages: high-efficiency phase, stabilization stage and low-efficiency phase. Meanwhile, the limited number of pulses at 100 kHz, 50 kHz and 20 kHz were obtained, and the values were approximately 289, 367 and 492, respectively. More, the values at 10 kHz and 200 kHz obtained by modeling were very close to those calculated by the fitted equation. All the research provides theoretical, simulation and experimental basis for designing and optimizing parameters on laser surface manufacturing.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"35 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138687753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First-principles studies of oxygen interstitial dopants in RbPbI3 halide for perovskite solar cells","authors":"Chongyao Yang, Wei Wu, Kwang-Leong Choy","doi":"10.1088/1361-651x/ad104f","DOIUrl":"https://doi.org/10.1088/1361-651x/ad104f","url":null,"abstract":"Recently perovskite solar cells (PSCs) have caught much attention. Oxygen atom (O<sub>1</sub>) and molecule (O<sub>2</sub>) are important dopants to influence the stability of the structural, electronic and optical properties, thus the performance of PSCs. RbPbX<sub>3</sub>-type perovskites have fantastic chemical stability and good power conversion efficiency. Here we have studied the effects of interstitial O<sub>1</sub> and O<sub>2</sub> on the structural properties, and hence the electronic structure of RbPbI<sub>3</sub> from first principles. We have included the van der Waals (vdW) forces into our density-functional-theory calculations. The formation of dopant level within the pristine band gap has been found when incorporating oxygen. The defect level, dominated by oxygen and iodine, is above the valence band maximum by 0.5–1.3 eV, depending on the location of the defects in the bulk. In addition, we can see the bandwidths of the defect levels are very narrow, which could trap the electron and affect the transport properties. In addition, a metallic state has been found in our calculations for interstitial oxygen molecule when there are strong O–O, O–Pb, and O–I bonds, indicating the complex nature of oxygen-doped PSCs. The comparison between the defect formation energies when doping oxygen atom and molecules is consistent with the previous report about oxygen-molecule passivation of PSCs. Our work has therefore provided important theoretical insight to the effect of oxygen dopants on the electronic structure of RbPbI<sub>3</sub>.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"6 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138687750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
José R Pérez-Higareda, Uriel Jirón-Lazos, Zeuz Montiel-González, Dalia A Mazón-Montijo, Andrés M Garay-Tapia, David Torres-Torres
{"title":"3D finite element simulation of scratch testing to quantify experimental failure mechanisms of a thin film","authors":"José R Pérez-Higareda, Uriel Jirón-Lazos, Zeuz Montiel-González, Dalia A Mazón-Montijo, Andrés M Garay-Tapia, David Torres-Torres","doi":"10.1088/1361-651x/ad0ce1","DOIUrl":"https://doi.org/10.1088/1361-651x/ad0ce1","url":null,"abstract":"In this work, an exhaustive finite element (FE) simulation was developed to closely reproduce experimental parameters such as normal force, tangential force, and penetration depth along the whole scratch test. We used an 800 nm thick Ti–Al–N thin film deposited by sputtering as the reference sample to carry out scratch tests identifying the appearance of failure mechanisms at different longitudinal displacements and critical loads. The hardening models of thin film and substrate allowed us to quantify the maximum principal stresses responsible for thin film spallation, about 14.5 GPa for the tensile mode and −1.49 GPa for the compression mode. These parameters provided an improved perspective to characterize the failure mechanisms on the sample during the scratching. The present enhanced 3D FE simulation can be a crucial tool for designing film-substrate systems with more precise mechanical strength calculations.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":"34 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138687646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}