Computational Materials Science

Papers
(The TQCC of Computational Materials Science is 8. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization172
Machine learning in materials science: From explainable predictions to autonomous design132
Polymer design using genetic algorithm and machine learning124
ALKEMIE: An intelligent computational platform for accelerating materials discovery and design101
Simulating the radiation shielding properties of TeO2–Na2O–TiO glass system using PHITS Monte Carlo code91
Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows83
Machine learning-based prediction of phases in high-entropy alloys81
Molecular dynamics simulation and DFT calculation of “green” scale and corrosion inhibitor70
Improving phase prediction accuracy for high entropy alloys with Machine learning68
An artificial neural network modeling approach for short and long fatigue crack propagation61
TransOpt. A code to solve electrical transport properties of semiconductors in constant electron–phonon coupling approximation61
Machine learning-based accelerated property prediction of two-phase materials using microstructural descriptors and finite element analysis58
Machine learning and materials informatics approaches in the analysis of physical properties of carbon nanotubes: A review53
Slice-to-voxel stochastic reconstructions on porous media with hybrid deep generative model52
A review on two-dimensional (2D) magnetic materials and their potential applications in spintronics and spin-caloritronic50
Structure effect on intrinsic piezoelectricity in septuple-atomic-layer 48
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach48
AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows47
Molecular dynamics simulation of deformation mechanism of CoCrNi medium entropy alloy during nanoscratching47
Molecular dynamics simulation of polyamide-based materials – A review46
Accelerated discovery of single-phase refractory high entropy alloys assisted by machine learning46
Machine learning elastic constants of multi-component alloys44
Thermal conductivity of monolayer hexagonal boron nitride: From defective to amorphous44
Hardness prediction of high entropy alloys with machine learning and material descriptors selection by improved genetic algorithm44
A physics-informed machine learning method for predicting grain structure characteristics in directed energy deposition43
Effects of high entropy and twin boundary on the nanoindentation of CoCrNiFeMn high-entropy alloy: A molecular dynamics study43
Enhancing property prediction and process optimization in building materials through machine learning: A review42
Transfer learning for materials informatics using crystal graph convolutional neural network41
TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations41
Rapid generation of optimal generalized Monkhorst-Pack grids41
Atomic Simulation Recipes: A Python framework and library for automated workflows41
Crystal structure classification in ABO3 perovskites via machine learning41
Generalized stacking fault energies and Peierls stresses in refractory body-centered cubic metals from machine learning-based interatomic potentials41
Phase-field-lattice Boltzmann simulation of dendrite motion using an immersed boundary method40
A universal framework for metropolis Monte Carlo simulation of magnetic Curie temperature39
Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: From room temperature to melting point38
Discovery of novel quaternary bulk metallic glasses using a developed correlation-based neural network approach38
Mechanical removal of SiC by multi-abrasive particles in fixed abrasive polishing using molecular dynamics simulation38
Simulation studies to quantify the impacts of point defects: An investigation of Cs2AgBiBr6 perovskite solar devices utilizing ZnO and Cu2O as the charge transport layers37
Interfacial characteristics between flattened CNT stacks and polyimides: A molecular dynamics study37
A DFT accurate machine learning description of molten ZnCl2 and its mixtures: 1. Potential development and properties prediction of molten ZnCl237
Rapid discovery of narrow bandgap oxide double perovskites using machine learning37
Effectively improving the accuracy of PBE functional in calculating the solid band gap via machine learning36
Predictive descriptors in machine learning and data-enabled explorations of high-entropy alloys35
A review on the application of lattice Boltzmann method for melting and solidification problems35
Effects of carbon nanotubes functionalization on mechanical and tribological properties of nitrile rubber nanocomposites: Molecular dynamics simulations35
Effects of magnesium dopants on grain boundary migration in aluminum-magnesium alloys35
Structural and mechanical behaviors of Mg-Al metallic glasses investigated by molecular dynamics simulations34
Deep learning object detection in materials science: Current state and future directions34
Quantum capacitance of supercapacitor electrodes based on germanene influenced by vacancy and co-doping: A first-principles study34
Three-dimensional phase field sintering simulations accounting for the rigid-body motion of individual grains34
Structural, electronic and optical properties of lead-free antimony-copper based hybrid double perovskites for photovoltaics and optoelectronics by first principles calculations34
Investigation of LiMn1-xMxPO4 (M = Ni, Fe) as cathode materials for Li-ion batteries using density functional theory34
Investigation of the mechanical properties and fracture mechanisms of graphene/WSe2 vertical heterostructure: A molecular dynamics study33
A review of computational studies of bottlebrush polymers33
Machine learning-enabled identification of new medium to high entropy alloys with solid solution phases33
Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility33
Machine learning and symbolic regression investigation on stability of MXene materials33
A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations33
Energy absorption mechanisms of nanoscopic multilayer structures under ballistic impact loading33
Accurate prediction of band gap of materials using stacking machine learning model32
Li-doped fullerene pillared graphene nanocomposites for enhancing hydrogen storage: A computational study32
Molecular dynamics study of fatigue mechanical properties and microstructural evolution of Ni-based single crystal superalloys under cyclic loading32
Atomistic simulations of the face-centered-cubic-to-hexagonal-close-packed phase transformation in the equiatomic CoCrFeMnNi high entropy alloy under high compression32
Optimized interatomic potential for study of structure and phase transitions in Si-Au and Si-Al systems32
First-principles analysis of the grain boundary segregation of transition metal alloying elements in γFe32
Crystal plasticity simulation of the macroscale and microscale stress–strain relations of additively manufactured AlSi10Mg alloy32
Graph neural network predictions of metal organic framework CO32
Two dimension transition metal boride Y2B2 as a promising anode in Li-ion and Na-ion batteries31
Application of deep learning to inverse design of phase separation structure in polymer alloy31
Three-dimensional Phase-field simulation of γ″ precipitation kinetics in Inconel 625 during heat treatment31
A theoretical calculation of stacking fault energy of Ni alloys: The effects of temperature and composition31
Anisotropic analysis of fibrous and woven materials part 2: Computation of effective conductivity31
Phase-field modeling of crack propagation in polycrystalline materials31
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 CSP31
Elastic dipole tensors and relaxation volumes of point defects in concentrated random magnetic Fe-Cr alloys31
Machine learning prediction of glass-forming ability in bulk metallic glasses31
Multiscale simulation of powder-bed fusion processing of metallic alloys30
Effect of alloying elements on hydrogen enhanced decohesion in bcc iron30
Modeling and simulation of dynamic recrystallization in super austenitic stainless steel employing combined cellular automaton, artificial neural network and finite element method30
Graphene/Phosphorene nano-heterostructure as a potential anode material for (K/Na)-ion batteries: Insights from DFT and AIMD30
Effects of active elements on adhesion of the Al2O3/Fe interface: A first principles calculation30
Numerical modelling of surface morphology in selective laser melting30
Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids30
Design of Fe-based bulk metallic glasses for maximum amorphous diameter (Dmax) using machine learning models30
Low-temperature thermoelectric behavior and impressive optoelectronic properties of two-dimensional XI2 (X = Sn, Si): A first principle study30
Scrutinize the physical attributes of thermodynamically and elastically stable double perovskite oxides Ba2CdXO6 (X = Mo, U) for optoelectronics, photocatalytic and green technology29
Multi defect detection and analysis of electron microscopy images with deep learning29
Towards improved speed and accuracy of laser powder bed fusion simulations via multiscale spatial representations29
A virtual sample generation algorithm supporting machine learning with a small-sample dataset: A case study for rubber materials29
A statistical approach for atomistic calculations of vacancy formation energy and chemical potentials in concentrated solid-solution alloys29
Prediction of amorphous forming ability based on artificial neural network and convolutional neural network29
Electronic structures and magnetism of Zr-, Th-, and U-based metal-organic frameworks (MOFs) by density functional theory28
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images28
Determination of glass forming ability of bulk metallic glasses based on machine learning28
Optimized interatomic potential for atomistic simulation of Zr-Nb alloy27
Interface kinetics of rapid solidification of binary alloys by atomistic simulations: Application to Ti-Ni alloys26
A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms26
Effect of short-range ordering and grain boundary segregation on shear deformation of CoCrFeNi high-entropy alloys with Al addition26
Molecular dynamics simulation on the cyclic deformation of magnesium single crystals26
Discovery of direct band gap perovskites for light harvesting by using machine learning26
Exploring Janus MoSSe monolayer as a workable media for SOF6 decompositions sensing based on DFT calculations26
Deep learning model for predicting phase diagrams of block copolymers26
A phase field model of crack propagation in anisotropic brittle materials with preferred fracture planes26
aflow.org: A web ecosystem of databases, software and tools26
Dislocation emission and propagation under a nano-indenter in a model high entropy alloy26
Effect of loading path on grain misorientation and geometrically necessary dislocation density in polycrystalline aluminum under reciprocating shear25
Modulating the properties of multifunctional semiconductors by means of morphology: Theory meets experiments25
Atomistic simulations on orientation dependent martensitic transformation during nanoindentation of NiTi shape-memory alloys25
Phase stability and mechanical properties of carbide solid solutions with 2–5 principal metals25
Learning phase selection and assemblages in High-Entropy Alloys through a stochastic ensemble-averaging model25
Machine learning in thermoelectric materials identification: Feature selection and analysis25
Effect of lattice distortion and nanovoids on the shock compression behavior of (Co-Cr-Cu-Fe-Ni) high entropy alloy25
Efficiency in identification of internal structure in simulated monoatomic clusters: Comparison between common neighbor analysis and coordination polyhedron method25
Intrinsic thermoelectric properties in biphenylene nanoribbons and effect of lattice defects25
Probing the structural and electronic properties of neutral and anionic strontium-doped magnesium clusters25
A machine learning framework for the temporal evolution of microstructure during static recrystallization of polycrystalline materials simulated by cellular automaton24
Importance of structural deformation features in the prediction of hybrid perovskite bandgaps24
Exploration of V–Cr–Fe–Co–Ni high-entropy alloys with high yield strength: A combination of machine learning and molecular dynamics simulation24
A systematic study of interatomic potentials for mechanical behaviours of Ti-Al alloys24
Adsorption behavior of metal-organic frameworks: From single simulation, high-throughput computational screening to machine learning24
Multi-material model for the simulation of powder bed fusion additive manufacturing24
Machine learning potentials for tobermorite minerals24
An efficient optimization based microstructure reconstruction approach with multiple loss functions24
Crystal structure prediction with machine learning-based element substitution24
Solution combustion synthesis and Monte Carlo simulation of the formation of CuNi integrated nanoparticles24
A new criterion for predicting the glass-forming ability of alloys based on machine learning24
Interaction potential function for the deformation analysis of potassium dihydrogen phosphate using molecular dynamics simulation24
Effects of interatomic potential on fracture behaviour in single- and bicrystalline tungsten23
Atomic simulation of crystal orientation effect on coating surface generation mechanisms in cold spray23
Exploring thermoelectric properties and stability of half-Heusler PtXSn (X = Zr, Hf) semiconductors: A first principle investigation23
The effects of cation and halide anion on the stability, electronic and optical properties of double perovskite Cs2NaMX6 (M = In, Tl, Sb, bi; X  = Cl, Br, I)23
An anisotropic Voronoi algorithm for generating polycrystalline microstructures with preferred growth directions23
Enthalpy stabilization of superconductivity in an alloying S-P-H system: First-principles cluster expansion study under high pressure23
Molecular dynamics simulation and experimental investigation of structural transformation and graphitization in diamond during friction23
Phase-field theory based finite element simulation on thermo-mechanical cyclic deformation of polycrystalline super-elastic NiTi shape memory alloy23
Electrodeposition of lithium metal on lithium anode surface, a simulation study by: Kinetic Monte Carlo-embedded atom method23
Extensible Structure-Informed Prediction of Formation Energy with improved accuracy and usability employing neural networks23
The interstitial diffusion behaviors and mechanisms of boron in α-Ti and β-Ti: A first-principles calculation23
The AFLOW Library of Crystallographic Prototypes: Part 323
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 spray23
Distance-based graphical indices for predicting thermodynamic properties of benzenoid hydrocarbons with applications23
Spatiotemporal variations of residual stresses during multi-track and multi-layer deposition for laser powder bed fusion of Ti-6Al-4V23
Role of pore chemistry and topology in the heavy metal sorption by zeolites: From molecular simulation to machine learning23
ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling23
TiN inducing ferrite nucleation based on the bcc-Fe/TiN interfaces formation at atomic scale by first-principles calculation23
Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization22
A fully automated approach to calculate the melting temperature of elemental crystals22
Calphad coupled phase-field model with mechano-chemical contributions and its application to rafting of γ’ in CMSX-422
Extraction of material properties through multi-fidelity deep learning from molecular dynamics simulation22
Graph neural networks for efficient learning of mechanical properties of polycrystals22
A first-principle study of FeB6 monolayer as a potential anode material for Li-ion and Na-ion batteries22
A tool to predict the evolution of phase and Young’s modulus in high entropy alloys using artificial neural network22
First-principles study of tensile and shear strength of Fe-Al andα-AlFeSi in22
Effects of vertical strain and electric field on the electronic properties and interface contact of graphene/InP vdW heterostructure22
A novel two-dimensional sp-sp2-sp3 hybridized carbon nanostructure with a negative in-plane Poisson ratio and high electron mobility22
Negative Poisson’s ratio from pentagons: A new auxetic structure combining three different auxetic mechanisms22
Advanced modeling of materials with PAOFLOW 2.0: New features and software design22
Engineered defects to modulate the phonon thermal conductivity of Silicene: A nonequilibrium molecular dynamics study22
A machine learning model for screening thermodynamic stable lead-free halide double perovskites22
Kinetic Monte Carlo simulation framework for chemical short-range order formation kinetics in a multi-principal-element alloy22
Intrinsic charge carrier mobility of 2D semiconductors22
A new interatomic potential describing Fe-H and H-H interactions in bcc iron22
Reconstructing random heterogeneous media through differentiable optimization22
First-principles study of tensile and shear strength of an Fe2Al5//Fe interface22
Study on hydrogen-affected interaction between dislocation and grain boundary by MD simulation21
Molecular dynamics simulations of spontaneous and seeded nucleation and theoretical calculations for zinc selenide21
Biased screening for multi-component materials with Structures of Alloy Generation And Recognition (SAGAR)21
Probabilistic modeling of surface effects in nano-reinforced materials21
Influence of surface-modified glass fibers on interfacial properties of GF/PEEK composites using molecular dynamics21
Effects of pre-strain on the nanoindentation behaviors of metallic glass studied by molecular dynamics simulations21
Automated ReaxFF parametrization using machine learning21
Machine-learning-based surrogate modeling of microstructure evolution using phase-field21
Phase-field lattice Boltzmann method with two-relaxation-time model for dendrite growth of a binary alloy with melt convection21
Gilbert damping, electronic and magnetic properties for quaternary Heusler alloys CrYCoZ: First-principles and Monte Carlo studies20
Effect of abrasive particle shape on the development of silicon substrate during nano-grinding20
Molecular dynamics study of sintering of Al nanoparticles with/without organic coatings20
A molecular study of humid CO2 adsorption capacity by Mg-MOF-74 surfaces with ligand functionalization20
Fully-coupled continuum damage model for simulation of plasticity dominated hydrogen embrittlement mechanisms20
Understanding defect structures in nanoscale metal additive manufacturing via molecular dynamics20
Improved first-principles electronic band structure for cubic (Pm 320
Application of back propagation neural network to the modeling of slump and compressive strength of composite geopolymers20
Studies on the regularity of perovskite formation via machine learning20
A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity20
Graph representational learning for bandgap prediction in varied perovskite crystals20
Molecular dynamics study of the mechanical behaviour of ultrathin polymer–metal multilayers under extreme dynamic conditions20
Mesoscopic-scale numerical investigation including the influence of scanning strategy on selective laser melting process20
Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis19
Description of grain boundary structure and topology in nanocrystalline aluminum using Voronoi analysis and order parameter19
Molecular insight into water desalination through functionalized graphenylene nanosheet membranes19
Nanovoid induced martensitic growth under uniaxial stress: Effect of misfit strain, temperature and nanovoid size on PT threshold stress and nanostructure in NiAl19
Atomistic simulations of mechanical properties and fracture of graphene: A review19
Machine learning approach to automated analysis of atomic configuration of molecular dynamics simulation19
CO2 reduction mechanism on the Nb2CO2 MXene surface: Effect of nonmetal and metal modification19
Simulation study of helium bubble coalescence in tungsten at various temperatures relevant to fusion conditions19
CASM — A software package for first-principles based study of multicomponent crystalline solids19
Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors19
Molecular dynamics simulations of lanthanum chloride by deep learning potential19
Unsupervised learning of atomic environments from simple features19
A finite element formulation for deformation twinning induced strain localization in polycrystal magnesium alloys19
Application of the convolutional neural network for recognition of the metal alloys microstructure constituents based on their morphological characteristics19
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Microscale diffusion-mechanics model for a polymer-based solid-state battery cathode19
Statistical analysis of effective electro-mechanical properties and percolation behavior of aligned carbon nanotube/polymer nanocomposites via computational micromechanics19
ReaxFF reactive molecular dynamics study on oxidation behavior of 3C-SiC in H2O and O219
Revisting Lennard Jones, Morse, and N-M potentials for metals19
ESpinS: A program for classical Monte-Carlo simulations of spin systems19
A novel method of determining interatomic potential for Al and Al-Li alloys and studying strength of Al-Al3Li interphase using evolutionary algorithms19
Molecular dynamics simulation of the combination effect of the tip inclination and scratching direction on nanomachining of single crystal silicon19
Magnetic and thermodynamic properties of monolayer graphdiyne-like18
Improving prediction accuracy of high-performance materials via modified machine learning strategy18
Computational characterization of thermal and mechanical properties of single and bilayer germanene nanoribbon18
The influence of defects on the elastic response of lattice structures resulting from additive manufacturing18
Computational screening of zeolite templated carbons for hydrogen storage18
Multi-phase-field lattice Boltzmann model for polycrystalline equiaxed solidification with motion18
Three-dimensional large-scale grain growth simulation using a cellular automaton model18
Ensemble-based machine learning models for phase prediction in high entropy alloys18
Investigating mechanical properties and thermal conductivity of 2D carbon-based materials by computational experiments18
The effect of chemical composition on the properties of LTA zeolite: A theoretical study18
Phase-field modeling of grain growth in presence of grain boundary diffusion and segregation in ceramic matrix mini-composites18
aflow++: A C++ framework for autonomous materials design18
A reverse design model for high-performance and low-cost magnesium alloys by machine learning18
Molecular insight into iron corrosion induced by chloride and sulphate18
Study of the anisotropic permeability of proton exchange membrane fuel cell gas diffusion layer by lattice Boltzmann method18
Understanding the mechanical and viscoelastic properties of graphene reinforced polycarbonate nanocomposites using coarse-grained molecular dynamics simulations18
Intrinsic electronic defect states of anatase using density functional theory18
Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index18
Effects of temperature and grain size on the mechanical properties of polycrystalline quartz17
Factors affecting the vacancy formation energy in Fe70Ni10Cr20 random concentrated alloy17
Understanding the plasticity contributions during laser-shock loading and spall failure of Cu microstructures at the atomic scales17
Multiscale insights into the stretching behavior of Kevlar fiber17
Spectral discrete dislocation dynamics with anisotropic short range interactions17
Hydrostatic pressure-tuning of thermoelectric properties of CsSnI3 perovskite by first-principles calculations17
A probabilistic approach with built-in uncertainty quantification for the calibration of a superelastic constitutive model from full-field strain data17
Artificial neural network potential for pure zinc17
Machine-learning model for prediction of martensitic transformation temperature in NiMnSn-based ferromagnetic shape memory alloys17
A quantitative phase-field model of gas bubble evolution in UO217
Atomistic study of metallurgical bonding upon the high velocity impact of fcc core-shell particles17
Layered oxides as cathode materials for beyond-Li batteries: A computational study of Ca and Al intercalation in bulk V2O5 and MoO317
Unraveling surface functionalization of Cr2B2T2 (T = OH, O, Cl, H) MBene by first-principles calculations17
Influence of oxygen and nitrogen doping on the structure and magnetic properties of FePt alloy: First principles calculations17
Atomistic investigation on the mechanical properties and failure behavior of zinc-blende cadmium selenide (CdSe) nanowire17
Grain growth competition during melt pool solidification — Comparing phase-field and cellular automaton models17
Transverse mechanical properties of unidirectional FRP including resin-rich areas17
Deep learning potential for superionic phase of Ag2S16
Greedy-based approach for generating anisotropic random fiber distributions of unidirectional composites and transverse mechanical properties prediction16
Capsule based self-healing composites: New insights on mechanical behaviour based on finite element analysis16
Rapid screening of high-entropy alloys using neural networks and constituent elements16
A two-step data augmentation method based on generative adversarial network for hardness prediction of high entropy alloy16
The influence of alloying on the stacking fault energy of gold from density functional theory calculations16
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