Publications by William Curtin

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Recent theory proposes that edge dislocations in random body-centered cubic (BCC) high entropy alloys have high barriers for motion, conveying high strengths up to high temperatures. Here, the energy barriers for edge motion are computed for two model allo ...

To accelerate the exploration, screening, and discovery of structural high-entropy alloys with targeted properties, the newly developed High-Throughput Hot-Isostatic-Pressing based Micro-Synthesis Approach (HT-HIP-MSA) is employed to efficiently synthesize ...

The mechanical properties due to solid solution strengthening are explored within the single phase face-centered cubic (fcc) domain of the Co-Cr-Fe-Mn Ni high entropy alloy (HEA) system. This is achieved by combining an efficient and reproducible metallurg ...

Solute accelerated cross-slip of pyramidal < c + a > screw dislocations has recently been recognized as a crucial mechanism in enhancing the ductility of solid-solution Mg alloys. In pure Mg, cross-slip is ineffective owing to the energy difference between ...

New-generation multi-phase martensitic steels derive their high strength from the body-centered cubic (BCC) phase and high toughness from transformation of the metastable face-centered cubic (FCC) austenite that transforms into martensite upon loading. In ...

Combining the excellent thermal and electrical properties of Cu with the high abrasion resistance and thermal stability of W, Cu-W nanoparticle-reinforced metal matrix composites and nano-multilayers are finding applications as brazing fillers and shieldin ...

A mechanism for (1 0 (1) over bar 2) twin nucleation in Mg is studied in which edge < c > and mixed < c + a > lattice dislocations dissociate into a stable twin, having at least the minimum 6-layer thickness formed by three glissile twinning dislocations, ...

Nanofibers used in current ceramic matrix composites (CMCs) are usually wavy and of finite length. Here, a shear-lag model for predicting the tensile strength and work of fracture of a composite containing a "single matrix crack", as a function of all the ...

The lattice Green's function method (LGFM) is the discrete counterpart of the continuum boundary element method and is a natural approach for solving intrinsically discrete solid mechanics problems that arise in atomistic-continuum coupling methods. Here, ...

A theory to predict the initial flow stress of an arbitrary N-component fcc random alloy is extended to predict the additional strengthening when a dilute concentration of a substitutional element is introduced. Assuming properties for the N-component allo ...

The austenite/martensite (fcc/bcc) interface is prevalent across many new classes of high-strength steels, and yet both its fundamental structure and its mechanism of motion remain uncertain in spite of decades of research. Here, atomistic simulations are ...

Fracture is the main cause of degradation and capacity fading in lithiated silicon during cycling. Experiments on the fracture of lithiated silicon show conflicting results, and so mechanistic models can help interpret experiments and guide component desig ...

Fibres made from carbon nanotubes (CNTs) have not yet achieved strengths approaching that of individual CNTs. The problem is that load is not effectively transferred between the constituent, discontinuous CNTs. High energy irradiation has shown promise on ...

In structural materials with both brittle and ductile phases, cracks often initiate within the brittle phase and propagate dynamically towards the ductile phase. The macroscale, quasistatic toughness of the material thus depends on the outcome of this micr ...

Prismatic slip in magnesium at temperatures T

The yield strength of random metal alloys, i.e. alloys with random occupation of the crystalline lattice sites by the elemental constituent atoms all considered as solutes, is primarily understood as controlled by solute/dislocation interactions. Solute-so ...

Hydrogen embrittlement (HE) is a ubiquitous and catastrophic mode of fracture in metals. Here, embrittlement is considered as an intrinsic ductile-brittle transition at the crack tip, where H at the crack tip can reduce the stress intensity K-Ic for cleava ...

The mechanical performance-including deformation, fracture and radiation damage-of zirconium is determined at the atomic scale. With Zr and its alloys extensively used in the nuclear industry, understanding that atomic scale behavior is crucial. The defect ...

The body centered cubic (BCC) high entropy alloys (HEAs) MoNbTaW and MoNbTaVW show exceptional strength retention up to 1900K. The mechanistic origin of the retained strength is unknown yet is crucial for finding the best alloys across the immense space of ...

AuNi is a classic long-studied fcc alloy combining a very "large"atom (Au) and a very "small"atom (Ni), and the large atomic size misfits suggest very high strengthening. Here, AuNi is used as a model alloy for the testing of new strengthening theories in ...

William Curtin

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High energy barriers for edge dislocation motion in body-centered cubic high entropy alloys

High throughput synthesis enabled exploration of CoCrFeNi-based high entropy alloys

Combining experiments and modeling to explore the solid solution strengthening of high and medium entropy alloys

Analysis of double cross-slip of pyramidal I < c plus a > screw dislocations and implications for ductility in Mg alloys

Measurement and prediction of the transformation strain that controls ductility and toughness in advanced steels

Machine learning potential for the Cu-W system

Analysis of dissociation of < c > and < c+a > dislocations to nucleate (1 0 -1 2) twins in Mg

Optimizing strength and toughness of nanofiber-reinforced CMCs

Efficient lattice Green's function method for bounded domain problems

Strengthening of high entropy alloys by dilute solute additions: CoCrFeNiAlx and CoCrFeNiMnAlx alloys

The austenite/lath martensite interface in steels: Structure, athermal motion, and in-situ transformation strain revealed by simulation and theory

Crack growth and fracture toughness of amorphous Li-Si anodes: Mechanisms and role of charging/discharging studied by atomistic simulations

Potential routes to stronger carbon nanotube fibres via carbon ion irradiation and deposition

Crack tip blunting and cleavage under dynamic conditions

A low-temperature prismatic slip instability in Mg understood using machine learning potentials

Effect of solute-solute interactions on strengthening of random alloys from dilute to high entropy alloys

A decohesion pathway for hydrogen embrittlement in nickel: Mechanism and quantitative prediction

Machine learning for metallurgy V: A neural-network potential for zirconium

Mechanistic origin of high strength in refractory BCC high entropy alloys up to 1900K

Solute misfit and solute interaction effects on strengthening: A case study in AuNi