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Papers
61,005 resultsShowing papers similar to Machine learning plastic deformation of crystals
ClearLearning to Predict Crystal Plasticity at the Nanoscale: Deep Residual Networks and Size Effects in Uniaxial Compression Discrete Dislocation Simulations
Researchers demonstrated that a deep residual neural network can predict crystal plasticity size effects in nanoscale materials by learning from surface strain profiles, significantly outperforming traditional machine learning approaches in predicting mechanical behavior of nano- to micro-scale samples.
Fluctuations in crystalline plasticity
This theoretical physics paper reviews the statistical patterns of intermittent plastic deformation events—called dislocation avalanches—in crystalline metals at the micro- and nanoscale. The term 'microplastic' here refers to a materials science concept about deformation behavior, not environmental plastic particles.
Materials Informatics for Mechanical Deformation: A Review of Applications and Challenges
This review covers machine learning methods applied to predicting and understanding mechanical properties of materials from large datasets. It is an engineering informatics paper and is not related to microplastics or environmental health.
Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials
Researchers used machine learning and Bayesian network analysis on 4D microscopy data from cracking metal samples to identify which microstructural features best predict how small fatigue cracks grow and in which direction. The resulting analytical model outperformed existing fatigue metrics, offering a more accurate tool for predicting when and how structural metal components will fail under repeated stress.
Avalanche statistics and the intermittent-to-smooth transition in microplasticity
This physics study found that at very small scales, crystal plasticity transitions from intermittent to smooth flow as deformation rate increases. It is a materials science paper on metal deformation mechanics, unrelated to environmental microplastics.
Non-universal behavior of intermittent flow in microplasticity
Microcompression experiments on single-crystal metals revealed that dislocation avalanche behavior during plastic deformation is not universal as some theories predicted, but instead depends significantly on crystal structure, loading orientation, and drive rate. The power-law scaling exponents varied across conditions, spanning values predicted by competing theoretical models.
Discontinuous yielding of pristine micro-crystals
This theoretical physics paper develops a model for crystal deformation in dislocation-free materials. While not related to environmental science or microplastics, the work contributes to materials science research on plastic deformation at the microscale.
Independence of Slip Velocities on Applied Stress in Small Crystals
This physics study examined the velocities at which crystal slip events occur during plastic deformation of tiny metal crystals, finding they are independent of applied stress over a wide range. This is a condensed matter physics study on metal deformation with no relevance to environmental microplastics.
Quasi-periodic events in crystal plasticity and the self-organized avalanche oscillator
Researchers experimentally compressed nickel microcrystals across three orders of magnitude in strain rate and discovered that at low rates, plastic deformation bursts become quasi-periodic rather than random, revealing a "self-organized avalanche oscillator" behavior predicted to occur wherever slow relaxation competes with sudden stress release.
Optimization of crystal plasticity parameters with proxy materials data for alloy single crystals
Researchers developed a method to better calibrate computer models that simulate how metal alloys deform at the grain level by using experimental data from multiple similar materials as a reference. The approach improves the accuracy of predictions for how metals will behave under stress, which is important for engineering applications in aerospace and manufacturing.
Role of Grain Boundary Sliding in Texture Evolution for Nanoplasticity
This materials science paper presents a crystal plasticity model for how grain boundary sliding affects texture evolution in nanocrystalline metals under large deformation. It is a technical metallurgy study with no connection to microplastics or environmental health.
Dislocation Patterning in Deforming Crystals: Theory, Computational Predictions and Validation (Final Technical Report)
This technical report covers a multi-year project on how dislocations — microscopic defects in metal crystals — form patterns during deformation. The research advances fundamental materials science relevant to metal manufacturing and is not directly related to microplastics or environmental health.
Probing Microplasticity in Small-Scale FCC Crystals via Dynamic Mechanical Analysis
This study used dynamic mechanical analysis to study pre-yield dislocation activity — tiny structural movements — in small-scale face-centered cubic metal crystals. It is a materials science paper on nanoscale metal plasticity with no connection to environmental microplastics.
Variety of scaling behaviors in nanocrystalline plasticity
This is a materials science study examining the variety of scaling behaviors observed in nanocrystalline plasticity, exploring how grain size affects deformation mechanisms in metals. It is not related to environmental microplastics.
A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous Metals
This materials science study applied machine learning to predict the mechanical properties of nanoporous metals from their microstructural features, offering an efficient way to optimize material design. While focused on metals rather than plastics, similar data-driven approaches are being developed for predicting the environmental behavior of microplastics.
Room temperature deformation of 6H–SiC single crystals investigated by micropillar compression
Researchers studied the deformation of silicon carbide crystals at the microscale, finding that both slip and fracture occur at room temperature under very high stress. This materials science research is unrelated to microplastics but contributes to understanding how materials fragment under mechanical stress.