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Related papers: Precursor-Dependent Energetics as a Predictive Pri…

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Metastable polymorphs often result from the interplay between thermodynamics and kinetics. Despite advances in predictive synthesis for solution-based techniques, there remains a lack of methods to design solid-state reactions targeting…

We present an atomistic study of heterogeneous nucleation in Ni employing transition path sampling, which reveals a template precursor-mediated mechanism of crystallization. Most notably, we find that the ability of tiny templates to modify…

Materials Science · Physics 2022-05-04 Grisell Díaz Leines , Jutta Rogal

Chemical vapor deposition (CVD) has been established as a versatile route for the large-scale synthesis of transition metal dichalcogenides, such as tungsten disulfide (WS2). Yet, the role of the precursor composition on the efficiency of…

We study polymorph selection in a model of charged colloids, with a focus on the higher-order structure prior to and during nucleation. Specifically, we carry out molecular dynamics simulations of a repulsive Yukawa system with a slightly…

Soft Condensed Matter · Physics 2026-01-08 C. Patrick Royall

As the number of theoretically predicted materials continues to grow, it becomes increasingly important to assess not only their thermodynamic stability but also their kinetic viability under realistic synthesis conditions. In this study,…

Materials Science · Physics 2026-04-17 Max C. Gallant , David Mrdjenovich , Kristin A. Persson

We investigate the atomistic mechanism of homogeneous nucleation during solidification in molybdenum employing transition path sampling. The mechanism is characterized by the formation of a pre-structured region of high bond-orientational…

Materials Science · Physics 2020-10-16 Sarath Menon , Grisell Díaz Leines , Ralf Drautz , Jutta Rogal

Pure phase and mixed phase TiO$_2$ nanoparticles have been produced using a pyrolytic method from a non-aqueous carboxylate precursor. The precursor was prepared by a multiphase cation exchange using pentanoic acid (C$_4$H$_9$COOH). The…

Materials Science · Physics 2021-02-08 Dmitry Zablotsky , Mikhail M. Maiorov , Aija Krumina , Marina Romanova , Elmars Blums

Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pair-wise reaction approaches have navigated the thermodynamic landscape…

Materials Science · Physics 2025-01-17 Vir Karan , Max C. Gallant , Yuxing Fei , Gerbrand Ceder , Kristin A. Persson

Controlled synthesis of metastable materials away from equilibrium is of interest in materials chemistry. Thin film deposition methods with rapid condensation of vapor precursors can readily synthesize metastable phases, but often struggle…

Crystallization of the amorphous phases into metastable crystals plays a fundamental role in the formation of new matter, from geological to biological processes in nature to synthesis and development of new materials in the laboratory.…

Materials Science · Physics 2023-10-03 Muratahan Aykol , Amil Merchant , Simon Batzner , Jennifer N. Wei , Ekin Dogus Cubuk

Two-dimensional transition metal dichalcogenides (TMDs) for advanced logic transistor technologies are deposited by various modifications of the chemical vapor deposition (CVD) method using a wide variety of precursors. Being a major…

Materials Science · Physics 2024-03-13 Vladislav Voronenkov , Benjamin Groven , Henry Medina Silva , Pierre Morin , Stefan De Gendt

Machine learning models are increasingly applied in materials science, yet their predictive power is often constrained by data scarcity. Here, we show that accurate predictions can be achieved, even with a limited number of training…

Materials Science · Physics 2026-02-17 Kati Asikainen , Matti Alatalo , Marko Huttula , Assa Aravindh Sasikala Devi

We present a family of multi-stage preconditioners for coupled thermal-compositional-reactive reservoir simulation problems. The most common preconditioner used in industrial practice, the Constrained Pressure Residual (CPR) method, was…

Numerical Analysis · Mathematics 2020-06-11 Matthias A. Cremon , Nicola Castelletto , Joshua A. White

We report on a large scale computer simulation study of crystal nucleation in hard spheres. Through a combined analysis of real and reciprocal space data, a picture of a two-step crystallization process is supported: First dense, amorphous…

Soft Condensed Matter · Physics 2015-05-18 T. Schilling , H. J. Schope , M. Oettel , G. Opletal , I. Snook

Efficient synthesis recipes are needed both to streamline the manufacturing of complex materials and to accelerate the realization of theoretically predicted materials. Oftentimes the solid-state synthesis of multicomponent oxides is…

Materials Science · Physics 2024-04-10 Jiadong Chen , Samuel R. Cross , Lincoln J. Miara , Jeong-Ju Cho , Yan Wang , Wenhao Sun

Understanding polymorph selection in atomic and molecular systems and its control through thermodynamic conditions and external factors (such as seed characteristics) is fundamental to the design of targeted materials and holds great…

Soft Condensed Matter · Physics 2025-06-18 Abhilasha Kumari , Gadha Ramesh , Debasish Koner , Rakesh S. Singh , Mantu Santra

Predictive materials synthesis is the primary bottleneck in realizing new functional and quantum materials. Strategies for synthesis of promising materials are currently identified by time-consuming trial and error approaches and there are…

The paper is concerned with identification of the key mechanisms controlling deflagration-to-detonation transition in stellar medium. The issue of thermal runaway triggered by positive feedback between the advancing flame and the…

Fluid Dynamics · Physics 2021-04-27 Peter V. Gordon , Leonid Kagan , Gregory Sivashinsky

Solubility and interfacial energy are two fundamental parameters underlying the competitive nucleation of polymorphs. However, solubility measurement of metastable phases comes with a risk of solventmediated transformations which can render…

Materials Science · Physics 2023-09-15 Ruel Cedeno , Romain Grossier , Nadine Candoni , Stéphane Veesler

Computational studies of liquid water and its phase transition into vapor have traditionally been performed using classical water models. Here we utilize the Deep Potential methodology -- a machine learning approach -- to study this…

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