Cover Image

Elastic tensor-derived properties of composition-dependent disordered refractory binary alloys using DFPT

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bijjala, Surya T., Atlas, Susan R., Kumar, Pankaj
Format:	Preprint
Published:	2024
Subjects:	Materials Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Composition design of refractory compositionally complex alloys using machine learning models
by: Liang, Tao, et al.
Published: (2026)

Temperature-dependent discovery of BCC refractory multi-principal element alloys: Integrating deep learning and CALPHAD calculations
by: Shargh, A. K., et al.
Published: (2024)

Threshold displacement energies in refractory high-entropy alloys
by: Byggmästar, Jesper, et al.
Published: (2024)

PH-NODE: A DFPT and finite displacement supercell based python code for searching nodes in topological phononic materials
by: Pandey, Prakash, et al.
Published: (2024)

Ductility mechanisms in complex concentrated refractory alloys from atomistic fracture simulations
by: Wang, Wenqing, et al.
Published: (2025)

Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization
by: Kelly, Conlain, et al.
Published: (2024)

Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2024)

Effect of antisite disorder on the magnetic and transport properties of a quaternary Heusler alloy
by: Dixit, Srishti, et al.
Published: (2024)

Lattice distortions and non-sluggish diffusion in BCC refractory high entropy alloys
by: Zhang, Jingfeng, et al.
Published: (2025)

Resolving thermal gradients and solidification velocities during laser melting of a refractory alloy
by: Park, Hyunggon, et al.
Published: (2024)

Eutectic and peritectic equilibria in coherent binary alloys
by: Hassan, Samiah, et al.
Published: (2026)

Composition based machine learning to predict phases & strength of refractory high entropy alloys
by: Iyengar, M. Sreenidhi, et al.
Published: (2025)

Machine learning descriptors for predicting the high temperature oxidation of refractory complex concentrated alloys
by: Bejjipurapu, Akhil, et al.
Published: (2025)

Resistance of refractory high-entropy alloys to ultrafast laser irradiation
by: Medvedev, Nikita
Published: (2025)

Nine-element machine-learned interatomic potentials for multiphase refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2026)

Investigating into mechanisms of high temperature strength of refractory high-entropy alloys
by: Seetharaman, Sai Anandhi, et al.
Published: (2025)

Grain boundary interstitial segregation in substitutional binary alloys
by: Zhang, Zuoyong, et al.
Published: (2025)

Surface properties of Co$_2$MnAl Heusler alloy
by: Kumar, Amar, et al.
Published: (2025)

Configuration-dependent electronic and optical properties of 2D Mo$_{1-x}$W$_x$S$_2$ alloys across the full composition range
by: Szyszko, M., et al.
Published: (2026)

Ab-initio study of the structural, elastic and dislocation properties of body-centered cubic refractory HfNbTaTiZr high entropy alloy
by: Bhatti, Asif Iqbal, et al.
Published: (2024)

Data-driven study of composition-dependent phase compatibility in NiTi shape memory alloys
by: Zadeh, Sina Hossein, et al.
Published: (2024)

Predicting the Curie temperature in substitutionally disordered alloys using a first-principles based model
by: Brännvall, Marian Arale, et al.
Published: (2024)

Electronic manifolds for extrapolative alloy discovery
by: Ray, Pranoy, et al.
Published: (2026)

Electronic density of states as the descriptor of elastic bond strength, ductility, and local lattice distortion in BCC refractory alloys
by: Pant, Dharmendra, et al.
Published: (2024)

Chemical disorder effects on the Gilbert damping of FeCo alloys
by: Lu, Zhiwei, et al.
Published: (2024)

Machine learning potentials for modeling alloys across compositions
by: Sheriff, Killian, et al.
Published: (2025)

Elastic properties of Cu-6wt\%Ag alloy wires for pulsed magnets investigated by ultrasonic techniques
by: Li, Ziyu, et al.
Published: (2024)

Trends in hot carrier distribution for disordered noble-transition metal alloys
by: Thareja, Eklavya, et al.
Published: (2024)

Magnetic properties of binary alloys Ni1-xMox and Ni1-yCuy close to critical concentrations
by: Lin, R. -Z., et al.
Published: (2024)

Uncertainty-aware phase fraction prediction and active-learning-guided out-of-domain discovery of refractory multi-principal element alloys
by: Shargh, A. K., et al.
Published: (2026)

Co-evolution of point defects and Cr-rich nano-phase in binary Fe-20 at.% Cr alloy: A comprehensive investigation using positron annihilation spectroscopy and atom probe tomography
by: Sarkar, Sudip Kumar, et al.
Published: (2022)

Elastic properties of transition metal dichalcogenides
by: Azadi, S., et al.
Published: (2025)

Dynamical properties of ordered Fe-Pt alloys
by: Sternik, M., et al.
Published: (2015)

Order-disorder duality of high entropy alloys extends non-linear optics
by: Milichko, Valentin A., et al.
Published: (2025)

Concept of post-eutectic composition for undercooled alloys
by: Gusak, Andriy, et al.
Published: (2024)

DSC curve fingerprints directly encode mechanical properties of aluminum alloys
by: Pichlmann, Lukas, et al.
Published: (2026)

Machine learning search for stable binary Sn alloys with Na, Ca, Cu, Pd, and Ag
by: Thorn, Aidan, et al.
Published: (2023)

Effect of Point Defects and Lattice Distortions on the Structural, Electronic, and Magnetic properties of Co$_2$MnAl Heusler alloy
by: Kumar, Amar, et al.
Published: (2023)

Effect of cold rolling strain on the microstructural evolution in equimolar MoNbTaTiZr refractory complex concentrated alloy: Comprehensive characterization
by: Skolakova, Andrea, et al.
Published: (2025)

Machine learning assisted screening of metal binary alloys for anode materials
by: Shi, Xingyue, et al.
Published: (2024)