In-situ study of rules of nanostructure evolution, severe plastic deformations, and friction under high pressure
Severe plastic deformations under high pressure are used to produce nanostructured
materials but were studied ex-situ. Rough diamond anvils are introduced to reach maximum …
materials but were studied ex-situ. Rough diamond anvils are introduced to reach maximum …
Accelerated prediction of stacking fault energy in FCC medium entropy alloys using multilayer perceptron neural networks: correlation and feature analysis
A multilayer perceptron neural networks (MLPNN) model is developed for robust and quick
prediction of stacking fault energy (SFE) to overcome the challenges faced in the calculation …
prediction of stacking fault energy (SFE) to overcome the challenges faced in the calculation …
Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning
A Linda, MF Akhtar, S Pathak, S Bhowmick - Physical Review B, 2024 - APS
Stacking fault energies (SFEs) are key parameters to understand the deformation
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
[PDF][PDF] Impact Analysis of Microscopic Defect Types on the Macroscopic Crack Propagation in Sintered Silver Nanoparticles.
Sintered silver nanoparticles (AgNPs) are widely used in high-power electronics due to their
exceptional properties. However, the material reliability is significantly affected by various …
exceptional properties. However, the material reliability is significantly affected by various …
Rules of plastic strain-induced phase transformations and nanostructure evolution under high-pressure and severe plastic flow
Rough diamond anvils (rough-DA) are introduced to intensify all occurring processes during
an in-situ study of heterogeneous compression of strongly pre-deformed Zr in diamond anvil …
an in-situ study of heterogeneous compression of strongly pre-deformed Zr in diamond anvil …
[HTML][HTML] Ab initio study of randomly disordered hexagonal close-packed (rhcp) phase in platinum
L Burakovsky, DL Preston, D Errandonea - Journal of Applied Physics, 2025 - pubs.aip.org
Platinum is one of the most important technological materials, and one of the most studied
transition metals. Yet, its phase diagram remains virtually unknown. The solid phase of Pt at …
transition metals. Yet, its phase diagram remains virtually unknown. The solid phase of Pt at …
Exploring 2D X-ray diffraction phase fraction analysis with convolutional neural networks: Insights from kinematic-diffraction simulations
Deep-learning models are effective for analyzing the complex information in 2D X-ray
diffraction (XRD) patterns. Accurately collecting parameters of the material sample is crucial …
diffraction (XRD) patterns. Accurately collecting parameters of the material sample is crucial …
Accelerating Generalized Stacking Fault Energy Prediction by Combining Friedel Model, Ab Initio Calculation and Machine Learning
A Linda, MF Akhtar, S Pathak, S Bhowmick - Ab Initio Calculation and … - papers.ssrn.com
Stacking fault energies (SFEs) are key parameters to understand the deformation
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …
mechanisms in metals and alloys, and prior knowledge of SFEs from ab initio calculations is …