English
Related papers

Related papers: Maximum strength and dislocation patterning in mul…

200 papers

There is intense interest in uncovering design rules that govern the formation of various structural phases as a function of chemical composition in multi-principal element alloys (MPEAs). In this paper, we develop a machine learning (ML)…

Materials Science · Physics 2022-06-22 Kyungtae Lee , Mukil Ayyasamy , Paige Delsa , Timothy Q. Hartnett , Prasanna V. Balachandran

Linear complexions are stable defect states, where the stress field associated with a dislocation induces a local phase transformation that remains restricted to nanoscale dimensions. As these complexions are born at the defects which…

Materials Science · Physics 2023-10-12 Divya Singh , Daniel S. Gianola , Timothy J. Rupert

Organic molecular crystals encompass a vast range of materials from pharmaceuticals to organic optoelectronics and proteins to waxes in biological and industrial settings. Crystal defects from grain boundaries to dislocations are known to…

Materials Science · Physics 2023-09-01 Sang T. Pham , Natalia Koniuch , Emily Wynne , Andy Brown , Sean M. Collins

High-entropy alloys are characterized by high configurational entropy. Since the discovery of high-entropy alloys (HEA) in 2004, entropy engineering has provided a promising direction for exploiting composition, lattice disorder, band…

Materials Science · Physics 2019-11-12 S. Joseph Poon , Jian He

We present results of systematic fully relativistic first-principles calculations of the uniaxial magnetic anisotropy energy (MAE) of a disordered and partially ordered tetragonal Fe-Co alloy using the coherent potential approximation…

Materials Science · Physics 2012-12-04 Ilja Turek , Josef Kudrnovsky , Karel Carva

While first-principles methods have been successfully applied to characterize individual properties of multi-principal element alloys (MPEA), their use to search for optimal trade-offs between competing properties is hampered by high…

Materials Science · Physics 2024-07-25 Franco Moitzi , Lorenz Romaner , Max Hodapp , Andrei V. Ruban , Oleg E. Peil

The recrystallized grain size and texture in alloys can be controlled via the microchemistry state during thermomechanical processing. The influence of concurrent precipitation on recovery and recrystallization is here analyzed by directly…

Materials Science · Physics 2023-02-17 Håkon W. Ånes , Antonius T. J. van Helvoort , Knut Marthinsen

High-entropy alloys (HEAs) composed of multiple principal elements have been shown to offer improved radiation resistance over their elemental or dilute-solution counterparts. Using NiCoFeCrMn HEA as a model, here we introduce carbon and…

Materials Science · Physics 2023-01-03 Zhengxiong Su , Jun Ding , Miao Song , Li Jiang , Tan Shi , Zhiming Li , Sheng Wang , Fei Gao , Di Yun , Chenyang Lu , En Ma

Dislocation slip is a general deformation mode and governs the strength of metals. Via discrete dislocation dynamics and molecular dynamics simulations, we investigate the strain rate and dislocation density dependence of the strength of…

Materials Science · Physics 2021-04-14 Haidong Fan , Jaafar A. El-Awady , Qingyuan Wang , Dierk Raabe , Michael Zaiser

Ultrafine-grained aluminum alloys offer interesting multifunctional properties with a combination of high strength, low electrical resistivity, and low density. However, due to thermally induced grain coarsening, they typically suffer from…

Plastic flow in body-centered cubic (BCC) metals and dilute/concentrated alloys is governed by the motion of <111> screw dislocations, whose glide is often impeded by cross-kinks (jogs). While existing strengthening models typically treat…

Materials Science · Physics 2026-02-20 Subhendu Chakraborty , Liang Qi

The deformation and fatigue crack nucleation mechanisms were studied by means of slip trace analysis and secondary electron microscopy in a textured AZ31B-O Mg alloy subjected to fully-reversed cyclic deformation at two different cyclic…

Materials Science · Physics 2022-08-23 Abbas Jamali , Anxin Ma , Javier LLorca

This work demonstrates the development of a strong and ductile medium entropy alloy by employing conventional alloying and thermomechanical processing to induce partial recrystallization (PR) and precipitation strengthening in the…

Materials Science · Physics 2021-09-29 Nithin Baler , Abdulla Samin M , Akshat Godha , Surendra Kumar Makineni

During plastic deformation, metals change shape while continuously becoming stronger. The microscopic origin of these processes lies in the proliferation and movement of line defects, dislocations, and the subsequent self-organisation and…

We investigate the effects of topological defects (dislocations) to the ground state of the solid-on-solid (SOS) model on a simple cubic disordered substrate utilizing the min-cost-flow algorithm from combinatorial optimization. The…

Disordered Systems and Neural Networks · Physics 2009-10-31 Frank O. Pfeiffer , Heiko Rieger

Long chains of the HP lattice protein model are studied by the Multi-Self-Overlap Ensemble(MSOE) Monte Carlo method, which was developed recently by the authors. MSOE successfully finds the lowest energy states reported before for sequences…

Soft Condensed Matter · Physics 2009-10-31 George Chikenji , Macoto Kikuchi , Yukito Iba

We calculate the magnetic dipole $\gamma$-ray strength functions in a chain of even-mass neodymium isotopes $^{144-152}$Nd in the framework of the configuration-interaction (CI) shell model. We infer the strength function by applying the…

Nuclear Theory · Physics 2025-01-08 A. Mercenne , P. Fanto , W. Ryssens , Y. Alhassid

Deformation mechanisms in CrCoNi-based oxide-dispersion-strengthened multi-principal element alloys (CrCoNi-based ODS-MPEA) have been extensively studied under quasi-static and low strain rate loading over a wide temperature range, yet…

Materials Science · Physics 2026-04-28 Naveen Dinujaya , Suhas Eswarappa Prameela

Short-range order (SRO) in disordered alloys is typically interpreted as competition between chemical effect of negative (or positive) energy gain by mixing constituent elements and geometric effects comes from difference in effective…

Disordered Systems and Neural Networks · Physics 2018-05-24 Koretaka Yuge

We study three structurally different states of nanocrystalline 316 steel and show that the state, where boundaries containing excess concentration of alloying elements are combined with mobile dislocations in grain interiors, allows…