Search
Search Results
-
Accelerated Discovery, Development, Manufacturing, and Deployment of New Materials Using Integrated Computational Materials Engineering (ICME) Tools and Digital Platforms
The transformative potential of the integrated computational materials engineering (ICME) tools and technologies in accelerating the discovery,...
-
Accurate computational design of three-dimensional protein crystals
Protein crystallization plays a central role in structural biology. Despite this, the process of crystallization remains poorly understood and highly...
-
Energetic performance of reactive metal nanoparticles: Computational materials research integrated with science pedagogy
We aim to develop and implement a program using reactive modeling dynamic (RMD), one type of computational modeling and simulation techniques, to...
-
Automated design of hybrid halide perovskite monolayers for band gap engineering
The recent experimental confirmation of perovskite monolayers has sparked ongoing efforts in their prediction and synthesis, showcasing their...
-
Computational engineering of the oxygen electrode-electrolyte interface in solid oxide fuel cells
The Ce 0.8 Gd 0.2 O 2− δ (CGO) interlayer is commonly applied in solid oxide fuel cells (SOFCs) to prevent chemical reactions between the (La 1− x Sr x )(Co 1− y Fe
-
Development and Validation of an Integrated Virtual Engineering Methodology for Evaluating Casting and Quenching Effect on Cylinder Block Cracking Issue
Engine cylinder block cracking is a costly component failure often discovered late in the automotive industry, either during the product verification...
-
Teaching Introductory Materials Engineering Via Additive Manufacturing
Additive manufacturingAdditive manufacturing (AM) is of great interest to industry and students alike, but many students receive little or no formal...
-
Computational Efficient Modeling of Supersolidus Liquid Phase Sintering in Multi-component Alloys for ICME Applications
One of the challenges in computational design of pre-alloyed powders for sintering is the absence of predictive, efficient, and fast acting models...
-
Composition engineering of high-entropy diboride nanoparticles for efficient catalytic degradation of antibiotics
Exploiting functional characteristics of high-entropy boride materials is critical for extending their potential applications in harsh environments....
-
Computational studies of MXenes
In the past decade, MXenes have developed into one of the largest families of two-dimensional materials. This development has benefited greatly from...
-
Coulomb engineering of two-dimensional Mott materials
Two-dimensional materials can be strongly influenced by their surroundings. A dielectric environment screens and reduces the Coulomb interaction...
-
Methods and applications of machine learning in computational design of optoelectronic semiconductors
The development of high-throughput computation and materials databases has laid the foundation for the emergence of data-driven machine learning...
-
Welding Engineering at Ohio State University—75 years
This paper celebrates the 75-year history of the OSU Welding Engineering program. It includes a brief history of the program, details regarding the...
-
On the Development of Computational Fluid Dynamics Quenching Simulation Methodology for Effective Thermal Residual Stress Control
Heat treatment is a common manufacturing process in the automotive industry used to produce high-performance metal components such as aluminum...
-
Computational morphogenesis for liquid crystal elastomer metamaterial
Liquid crystal elastomer (LCE) is a type of soft active material that generates large and reversible spontaneous deformations upon temperature...
-
Composition Engineering on the Structure and Transport Properties of CaO–SiO2–P2O5 System: A Computational Insight
In order to support the engineering research on the composition-structure-viscosity of metallurgical slag, molecular dynamics methods are used to...
-
Engineering plants as sustainable living devices
Living plants are abundant biological organisms that have evolved adaptive systems to absorb nutrients from the below ground environment, grow...
-
Opportunities and challenges of strain engineering for advanced electrocatalyst design
Electrocatalysis is becoming more and more important in energy conversion and storage due to rising energy demands, increasing carbon dioxide...
-
Artificial intelligence in computational materials science
In this themed collection we aim to broadly review some of the critical, recent progress in the application of AI/ML to various aspects of...
-
A Review of Computational Modeling of Fluid-Immersed Flexible Filaments
Hydrodynamics of slender flexible filaments plays an important role in biology, human physiology, locomotion of organisms, as well as biomedical...
