Computational Materials Science

Papers
(The median citation count of Computational Materials Science is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization141
A steel property optimization model based on the XGBoost algorithm and improved PSO110
Polymer design using genetic algorithm and machine learning103
Using machine learning and feature engineering to characterize limited material datasets of high-entropy alloys100
Machine learning in materials science: From explainable predictions to autonomous design99
Assessment and optimization of the fast inertial relaxation engine (fire) for energy minimization in atomistic simulations and its implementation in lammps88
Simulating the radiation shielding properties of TeO2–Na2O–TiO glass system using PHITS Monte Carlo code87
ALKEMIE: An intelligent computational platform for accelerating materials discovery and design85
Predicting microstructure-dependent mechanical properties in additively manufactured metals with machine- and deep-learning methods85
Yttrium barium copper oxide superconducting transition temperature modeling through gaussian process regression82
Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows63
Machine learning-based prediction of phases in high-entropy alloys57
Can machine learning find extraordinary materials?56
TransOpt. A code to solve electrical transport properties of semiconductors in constant electron–phonon coupling approximation53
An artificial neural network modeling approach for short and long fatigue crack propagation49
Finite element simulation of the compressive response of additively manufactured lattice structures with large diameters48
Screening stable and metastable ABO3 perovskites using machine learning and the materials project48
Five carbon allotropes from Squaroglitter structures48
Improving phase prediction accuracy for high entropy alloys with Machine learning46
Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model46
Molecular dynamics simulation and DFT calculation of “green” scale and corrosion inhibitor45
Structure effect on intrinsic piezoelectricity in septuple-atomic-layer 42
AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows40
The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research40
Machine learning and materials informatics approaches in the analysis of physical properties of carbon nanotubes: A review40
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach40
Mesoscopic-scale simulation of pore evolution during laser powder bed fusion process39
Remarkably enhanced Curie temperature in monolayer CrI3 by hydrogen and oxygen adsorption: A first-principles calculations39
Machine learning-based accelerated property prediction of two-phase materials using microstructural descriptors and finite element analysis39
Shock waves in graphene and boron nitride38
Adaptive characterization of microstructure dataset using a two stage machine learning approach37
Two-dimensional large-scale phase-field lattice Boltzmann simulation of polycrystalline equiaxed solidification with motion of a massive number of dendrites37
Machine learning elastic constants of multi-component alloys36
Effects of magnesium dopants on grain boundary migration in aluminum-magnesium alloys35
Pile-up and heat effect on the mechanical response of SiGe on Si(0 0 1) substrate during nanoscratching and nanoindentation using molecular dynamics35
Molecular dynamics simulation of deformation mechanism of CoCrNi medium entropy alloy during nanoscratching34
Generalized stacking fault energies and Peierls stresses in refractory body-centered cubic metals from machine learning-based interatomic potentials34
Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning34
Numerical analysis of non-spherical particle effect on molten pool dynamics in laser-powder bed fusion additive manufacturing34
Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach34
Atomic Simulation Recipes: A Python framework and library for automated workflows34
Controlling the solidification process parameters of direct energy deposition additive manufacturing considering laser and powder properties34
Thermal conductivity of monolayer hexagonal boron nitride: From defective to amorphous34
Effects of high entropy and twin boundary on the nanoindentation of CoCrNiFeMn high-entropy alloy: A molecular dynamics study33
Simulation studies to quantify the impacts of point defects: An investigation of Cs2AgBiBr6 perovskite solar devices utilizing ZnO and Cu2O as the charge transport layers33
Phase-field-lattice Boltzmann simulation of dendrite motion using an immersed boundary method33
Transfer learning for materials informatics using crystal graph convolutional neural network33
Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: From room temperature to melting point33
Three-dimensional phase field sintering simulations accounting for the rigid-body motion of individual grains32
A physics-informed machine learning method for predicting grain structure characteristics in directed energy deposition32
Rapid discovery of narrow bandgap oxide double perovskites using machine learning32
Hardness prediction of high entropy alloys with machine learning and material descriptors selection by improved genetic algorithm31
Mesoscopic study of thermal behavior, fluid dynamics and surface morphology during selective laser melting of Ti-based composites31
Effect of ion implantation on material removal mechanism of 6H-SiC in nano-cutting: A molecular dynamics study31
A review on two-dimensional (2D) magnetic materials and their potential applications in spintronics and spin-caloritronic31
Computational homogenization of sheet molding compound composites based on high fidelity representative volume elements30
Modeling thermoset polymers using an improved molecular dynamics crosslinking methodology30
Crystal structure classification in ABO3 perovskites via machine learning30
Phase-field simulation of Li dendrites with multiple parameters influence30
A DFT accurate machine learning description of molten ZnCl2 and its mixtures: 1. Potential development and properties prediction of molten ZnCl229
Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility29
Modeling and simulation of dynamic recrystallization in super austenitic stainless steel employing combined cellular automaton, artificial neural network and finite element method29
Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study29
A review of computational studies of bottlebrush polymers29
Mechanical removal of SiC by multi-abrasive particles in fixed abrasive polishing using molecular dynamics simulation29
Probing a novel heat source model and adaptive remeshing technique to simulate laser powder bed fusion with experimental validation29
A review on the application of lattice Boltzmann method for melting and solidification problems29
Energy absorption mechanisms of nanoscopic multilayer structures under ballistic impact loading28
Structural, electronic and optical properties of lead-free antimony-copper based hybrid double perovskites for photovoltaics and optoelectronics by first principles calculations28
Predictive descriptors in machine learning and data-enabled explorations of high-entropy alloys28
Multi-scale process simulation for additive manufacturing through particle filled vat photopolymerization27
Anisotropic analysis of fibrous and woven materials part 2: Computation of effective conductivity27
Molecular dynamics study of fatigue mechanical properties and microstructural evolution of Ni-based single crystal superalloys under cyclic loading27
Spherically localized discrete breathers in bcc metals V and Nb27
Molecular dynamics simulation of polyamide-based materials – A review27
Low-temperature thermoelectric behavior and impressive optoelectronic properties of two-dimensional XI2 (X = Sn, Si): A first principle study27
Phase-field modeling of crack propagation in polycrystalline materials27
Investigation of the mechanical properties and fracture mechanisms of graphene/WSe2 vertical heterostructure: A molecular dynamics study27
Application of deep learning to inverse design of phase separation structure in polymer alloy27
Machine learning prediction of glass-forming ability in bulk metallic glasses27
A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations26
Machine learning and symbolic regression investigation on stability of MXene materials26
Crystal plasticity simulation of the macroscale and microscale stress–strain relations of additively manufactured AlSi10Mg alloy26
Optimized interatomic potential for study of structure and phase transitions in Si-Au and Si-Al systems26
Determination of glass forming ability of bulk metallic glasses based on machine learning25
Design of Fe-based bulk metallic glasses for maximum amorphous diameter (Dmax) using machine learning models25
Electronic structures and magnetism of Zr-, Th-, and U-based metal-organic frameworks (MOFs) by density functional theory25
A phase field model of crack propagation in anisotropic brittle materials with preferred fracture planes25
Numerical investigation of the mechanical properties of a novel hybrid polymer composite reinforced with graphene and MXene nanosheets25
A DFT accurate machine learning description of molten ZnCl2 and its mixtures: 2. Potential development and properties prediction of ZnCl2-NaCl-KCl ternary salt for CSP25
Effect of alloying elements on hydrogen enhanced decohesion in bcc iron24
Quantum capacitance of supercapacitor electrodes based on germanene influenced by vacancy and co-doping: A first-principles study24
Anisotropic analysis of fibrous and woven materials part 1: Estimation of local orientation24
Molecular reaction dynamics simulation of thermal decomposition for aluminiferous RDX composites24
A machine learning framework for the temporal evolution of microstructure during static recrystallization of polycrystalline materials simulated by cellular automaton24
Atomistic simulations of the face-centered-cubic-to-hexagonal-close-packed phase transformation in the equiatomic CoCrFeMnNi high entropy alloy under high compression24
A universal framework for metropolis Monte Carlo simulation of magnetic Curie temperature24
Catalytic materials and chemistry development using a synergistic combination of machine learning and ab initio methods24
Numerical modelling of surface morphology in selective laser melting24
Crystallization of amorphous GeTe simulated by neural network potential addressing medium-range order24
Solution combustion synthesis and Monte Carlo simulation of the formation of CuNi integrated nanoparticles24
Li-doped fullerene pillared graphene nanocomposites for enhancing hydrogen storage: A computational study24
Integrated 2D cellular automata-phase field modeling of solidification and microstructure evolution during additive manufacturing of Ti6Al4V24
Effects of carbon nanotubes functionalization on mechanical and tribological properties of nitrile rubber nanocomposites: Molecular dynamics simulations23
Dislocation emission and propagation under a nano-indenter in a model high entropy alloy23
Bulk and monolayer As2S3 as promising thermoelectric material with high conversion performance23
Multi defect detection and analysis of electron microscopy images with deep learning23
A comprehensive study on the mechanical properties and failure mechanisms of graphyne nanotubes (GNTs) in different phases23
A theoretical calculation of stacking fault energy of Ni alloys: The effects of temperature and composition23
Effects of active elements on adhesion of the Al2O3/Fe interface: A first principles calculation23
Large scale mobility calculations in PEDOT (Poly(3,4-ethylenedioxythiophene)): Backmapping the coarse-grained MARTINI morphology23
Interface kinetics of rapid solidification of binary alloys by atomistic simulations: Application to Ti-Ni alloys23
Elastic dipole tensors and relaxation volumes of point defects in concentrated random magnetic Fe-Cr alloys23
Interaction potential function for the deformation analysis of potassium dihydrogen phosphate using molecular dynamics simulation23
A statistical approach for atomistic calculations of vacancy formation energy and chemical potentials in concentrated solid-solution alloys23
Machine learning-enabled identification of new medium to high entropy alloys with solid solution phases23
Graphene/Phosphorene nano-heterostructure as a potential anode material for (K/Na)-ion batteries: Insights from DFT and AIMD22
Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning22
Investigation of LiMn1-xMxPO4 (M = Ni, Fe) as cathode materials for Li-ion batteries using density functional theory22
Effect of interface configuration on the mechanical properties and dislocation mechanisms in metal graphene composites22
First-principles study of Ni/Ni3Al interface doped with Re, Ta and W22
A new criterion for predicting the glass-forming ability of alloys based on machine learning22
Molecular dynamics simulation on the cyclic deformation of magnesium single crystals22
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images22
Rapid generation of optimal generalized Monkhorst-Pack grids22
Towards improved speed and accuracy of laser powder bed fusion simulations via multiscale spatial representations22
BeMg9: A tower-like type doped magnesium clusters with high stability22
Tailoring the structural properties and electronic structure of anatase, brookite and rutile phase TiO2 nanoparticles: DFTB calculations22
First-principle study of the solubility and diffusion of oxygen and boron in γ21
Accurate prediction of band gap of materials using stacking machine learning model21
Exploring Janus MoSSe monolayer as a workable media for SOF6 decompositions sensing based on DFT calculations21
An efficient optimization based microstructure reconstruction approach with multiple loss functions21
Probing the structural and electronic properties of neutral and anionic strontium-doped magnesium clusters21
Effect of lattice distortion and nanovoids on the shock compression behavior of (Co-Cr-Cu-Fe-Ni) high entropy alloy21
Importance of structural deformation features in the prediction of hybrid perovskite bandgaps21
Spatiotemporal variations of residual stresses during multi-track and multi-layer deposition for laser powder bed fusion of Ti-6Al-4V21
Learning phase selection and assemblages in High-Entropy Alloys through a stochastic ensemble-averaging model21
Engineered defects to modulate the phonon thermal conductivity of Silicene: A nonequilibrium molecular dynamics study21
Two dimension transition metal boride Y2B2 as a promising anode in Li-ion and Na-ion batteries21
Molecular dynamics investigation of temperature effect and surface configurations on multiple impacts plastic deformation in a palladium-copper composite metal membrane (CMM): A cold gas dynamic spray21
Deep learning model for predicting phase diagrams of block copolymers21
Prediction of amorphous forming ability based on artificial neural network and convolutional neural network21
Phase field modeling of crack propagation in shape memory ceramics – Application to zirconia20
Adsorption behavior of metal-organic frameworks: From single simulation, high-throughput computational screening to machine learning20
Electronic, optical, and thermoelectric properties of sodium pnictogen chalcogenides: A first principles study20
Impact of vacancy defects on optoelectronic and magnetic properties of Mn-doped ZnSe20
Atomistic simulations on orientation dependent martensitic transformation during nanoindentation of NiTi shape-memory alloys20
TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations20
Designing anisotropic microstructures with spectral density function20
Computational insights into the sorption mechanism of polycyclic aromatic hydrocarbons by carbon nanotube through density functional theory calculation and molecular dynamics simulation20
Efficiency in identification of internal structure in simulated monoatomic clusters: Comparison between common neighbor analysis and coordination polyhedron method20
A new interatomic potential describing Fe-H and H-H interactions in bcc iron20
Advanced modeling of materials with PAOFLOW 2.0: New features and software design20
Atomic column heights detection in metallic nanoparticles using deep convolutional learning20
Electronic and magnetic properties of group-V TMDs monolayers with defects: A first-principles study20
Kinetic Monte Carlo simulation framework for chemical short-range order formation kinetics in a multi-principal-element alloy20
Multiscale simulation of powder-bed fusion processing of metallic alloys20
Phase stability and mechanical properties of carbide solid solutions with 2–5 principal metals20
Modeling high-temperature mechanical properties of austenitic stainless steels by neural networks20
A systematic study of interatomic potentials for mechanical behaviours of Ti-Al alloys20
Modulating the properties of multifunctional semiconductors by means of morphology: Theory meets experiments19
Calphad coupled phase-field model with mechano-chemical contributions and its application to rafting of γ’ in CMSX-419
Optimized interatomic potential for atomistic simulation of Zr-Nb alloy19
Molecular dynamics study of the thermodynamic and kinetic properties of the solid-liquid interface in FeMn19
Molecular dynamics simulations of spontaneous and seeded nucleation and theoretical calculations for zinc selenide19
Multiple CO2 capture in pristine and Sr-decorated graphyne: A DFT-D3 and AIMD study19
Three-dimensional Phase-field simulation of γ″ precipitation kinetics in Inconel 625 during heat treatment19
Structural and mechanical behaviors of Mg-Al metallic glasses investigated by molecular dynamics simulations19
Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization19
Microscale diffusion-mechanics model for a polymer-based solid-state battery cathode19
A novel two-dimensional sp-sp2-sp3 hybridized carbon nanostructure with a negative in-plane Poisson ratio and high electron mobility19
Machine learning of octahedral tilting in oxide perovskites by symbolic classification with compressed sensing19
Molecular dynamics simulation and experimental investigation of structural transformation and graphitization in diamond during friction19
An anisotropic Voronoi algorithm for generating polycrystalline microstructures with preferred growth directions19
Probabilistic modeling of surface effects in nano-reinforced materials19
The charge transfer of intercalated Li atoms around islands on Li-halide (F, Br, Cl) surface of SEIs: A first principles calculation19
Enhancing property prediction and process optimization in building materials through machine learning: A review19
Enthalpy stabilization of superconductivity in an alloying S-P-H system: First-principles cluster expansion study under high pressure19
Accelerating the development of multi-component Cu-Al-based shape memory alloys with high elastocaloric property by machine learning19
First-principles study of tensile and shear strength of an Fe2Al5//Fe interface19
DFT-based study of the bulk tin mixed-halide CsSnI3-Br perovskite19
Electrodeposition of lithium metal on lithium anode surface, a simulation study by: Kinetic Monte Carlo-embedded atom method19
Two-dimensional discrete breathers in fcc metals19
An atomistic simulation study investigating the effect of varying network structure and polarity in a moisture contaminated epoxy network19
Automated ReaxFF parametrization using machine learning19
The interstitial diffusion behaviors and mechanisms of boron in α-Ti and β-Ti: A first-principles calculation19
First-principles analysis of the grain boundary segregation of transition metal alloying elements in γFe19
Deep learning object detection in materials science: Current state and future directions19
A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms19
A numerical-homogenization based phase-field fracture modeling of linear elastic heterogeneous porous media18
Effects of pre-strain on the nanoindentation behaviors of metallic glass studied by molecular dynamics simulations18
First-principles study of tensile and shear strength of Fe-Al andα-AlFeSi in18
Molecular dynamics simulations of radiation damage generation and dislocation loop evolution in Ni and binary Ni-based alloys18
Extraction of material properties through multi-fidelity deep learning from molecular dynamics simulation18
Effect of short-range ordering and grain boundary segregation on shear deformation of CoCrFeNi high-entropy alloys with Al addition18
Role of pore chemistry and topology in the heavy metal sorption by zeolites: From molecular simulation to machine learning18
Mesoscopic-scale numerical investigation including the influence of scanning strategy on selective laser melting process18
Elastic constants of pure body-centered cubic Mg in nanolaminates18
Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids18
Multi-material model for the simulation of powder bed fusion additive manufacturing18
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A new numerical framework for the full field modeling of dynamic recrystallization in a CPFEM context18
Molecular dynamics study of the mechanical behaviour of ultrathin polymer–metal multilayers under extreme dynamic conditions18
Layer thickness effects on the strengthening and toughening mechanisms in metallic glass-graphene nanolaminates18
Graph neural network predictions of metal organic framework CO18
Effect of abrasive particle shape on the development of silicon substrate during nano-grinding18
Effect of loading path on grain misorientation and geometrically necessary dislocation density in polycrystalline aluminum under reciprocating shear18
Molecular dynamics study of sintering of Al nanoparticles with/without organic coatings18
Thermal resistance analysis of hybrid graphene-boron nitride nanosheets: The effect of geometry, temperature, size, strain and structural defects18
Atomic simulation of crystal orientation effect on coating surface generation mechanisms in cold spray18
Machine learning approach to automated analysis of atomic configuration of molecular dynamics simulation17
Study on hydrogen-affected interaction between dislocation and grain boundary by MD simulation17
Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis17
Negative Poisson’s ratio from pentagons: A new auxetic structure combining three different auxetic mechanisms17
Nanovoid induced martensitic growth under uniaxial stress: Effect of misfit strain, temperature and nanovoid size on PT threshold stress and nanostructure in NiAl17
Vacancy formation energy and its connection with bonding environment in solid: A high-throughput calculation and machine learning study17
Effects of Si concentration on electronic structure and optical gap of Si-doped β-Ga2O317
Molecular dynamics simulations of single-layer and rotated double-layer graphene sheets under a high velocity impact by fullerene17
Application of back propagation neural network to the modeling of slump and compressive strength of composite geopolymers17
Extensible Structure-Informed Prediction of Formation Energy with improved accuracy and usability employing neural networks17
Machine Learning based prediction of noncentrosymmetric crystal materials17
Phase-field lattice Boltzmann method with two-relaxation-time model for dendrite growth of a binary alloy with melt convection17
A novel method of determining interatomic potential for Al and Al-Li alloys and studying strength of Al-Al3Li interphase using evolutionary algorithms17
Ab-initio study of atomic structure and mechanical behaviour of Al/17
A fully automated approach to calculate the melting temperature of elemental crystals17
Machine learning models for the prediction of energy, forces, and stresses for Platinum17
First-principles investigation of interfacial stability, mechanical behavior and failure mechanism of β-SiC(1 1 1)/Al(1 1 1) interfaces17
Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index17
Theoretical investigation of optoelectronic and magnetic properties of Co-doped ZnS and (Al, Co) co-doped ZnS16
CO2 reduction mechanism on the Nb2CO2 MXene surface: Effect of nonmetal and metal modification16
Atomistic investigation on the mechanical properties and failure behavior of zinc-blende cadmium selenide (CdSe) nanowire16
Phase-field theory based finite element simulation on thermo-mechanical cyclic deformation of polycrystalline super-elastic NiTi shape memory alloy16
Intrinsic charge carrier mobility of 2D semiconductors16
Study of the anisotropic permeability of proton exchange membrane fuel cell gas diffusion layer by lattice Boltzmann method16
Phase-field modeling of grain growth in presence of grain boundary diffusion and segregation in ceramic matrix mini-composites16
Studies on the regularity of perovskite formation via machine learning16
Exploring the real ground-state structures of W3Si silicides from first-principles calculations16
Consistent element-free Galerkin method for three-dimensional crack propagation based on a phase-field model16
Effects of interatomic potential on fracture behaviour in single- and bicrystalline tungsten16
A theoretical scenario for the mechanical failure of boron carbide nanotubes16
Two-dimensional porphyrin sheet as an electric and optical sensor material for pH detection: A DFT study16
Exploring thermoelectric properties and stability of half-Heusler PtXSn (X = Zr, Hf) semiconductors: A first principle investigation16
Reconstructing random heterogeneous media through differentiable optimization16
Graph representational learning for bandgap prediction in varied perovskite crystals16
Discovery of direct band gap perovskites for light harvesting by using machine learning16
First principles studies of oxygen adsorption on the γ-U (1 1 0) surface and influences of Mo doping16
Effects of vertical strain and electric field on the electronic properties and interface contact of graphene/InP vdW heterostructure16
Hydrostatic pressure-tuning of thermoelectric properties of CsSnI3 perovskite by first-principles calculations16
Computational characterization of thermal and mechanical properties of single and bilayer germanene nanoribbon16
Intrinsic thermoelectric properties in biphenylene nanoribbons and effect of lattice defects16
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