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Materials

Projects/Programs

Keyword

Organizational Unit

Fabrication and Metrology of Novel Magnetic Tunnel Junctions in the Ultra-thin Barrier Limit

Completed

Within a broader program of exploring methods to fabricate structures with novel electronic properties at the nanometer scale, we are using highly charged ions (HCIs) to produce ensembles of nano-features within magnetic tunnel junctions (MTJs). Technologically, MTJs are a major component of

A digital object is composed of Data, Metadata, Protocols & Operations, and Persistent Identifiers.

Facilitating the Adoption of FAIR Digital Objects in Materials Science and Engineering

Ongoing

The FAIR Data Principles define a set of aspirational guidelines for those whose goal is to improve the reusability of their data. However, the FAIR Data Principles do not define an explicit set of requirements to achieve FAIRness, which may vary within and across domains. Various projects have

Fatigue in Silicon

Ongoing

It has long been thought that bulk silicon is immune to fatigue. We present contrary evidence by demonstrating severe fatigue in macroscale specimens. Cracks are produced during cyclic loading of monocrystalline silicon plates with a 3 mm radius sphere indenter mounted onto a universal testing

FiPy

Ongoing

The solution of coupled sets of PDEs is ubiquitous to the numerical simulation of science problems. Numerous PDE solvers exist, using a variety of languages and numerical approaches. Many are proprietary, expensive and difficult to customize. As a result, scientists spend considerable resources

Flexible and Printed Electronics

Ongoing

Approach Developing commercial products based on organic electronics requires materials that deliver predictable and reproducible performance. One advantage of these materials is their compatibility with versatile solution processing methods. However, this advantage can lead to unpredictable

Functional Barriers for Low-Flammability Products

Ongoing

This project enables low-flammability products without flame retardants by providing methods to assess functional barriers, advancing their performance, and exploring their use in multi-layer products for critical applications.

Fundamentals of Deformation

Ongoing

• We have provided general users from industry, academia and national laboratories with a completely new class of X-ray imaging techniques for materials studies (ultra-small-angle X-ray scattering imaging), that we developed from basic concept to DOE-supported operations at the Advanced Photon

Fundamentals of Macromolecular Self Assembly: particles, gels, and polyelectrolyte complex coacervates

Ongoing

This project considers the hierarchical structure formed in aqueous solution from rationally‑designed block polymer sequence and chemistry. Regular nanoscale structures spontaneously form in aqueous solution by tailoring the antagonistic interactions among the solution and copolymer moieties. These

Future Directions for Magnetic Sensors

Completed

Bringing new or improved magnetic sensors to market requires modeling for rapid assessment of the effect of new designs or improved materials properties. To this end, we are investigating the fundamental properties of a new class of magnetic sensors that is rapidly displacing ones based on older

Diagram showing the electro-thermo-mechanical relations in a crystal

Genomics of Electronic Materials

Ongoing

We approach this multidimensional characterization problem by developing measurement-based techniques to rapidly quantify all of the relevant properties of thin-film materials, interfaces, and microelectronic structures. We make extensive use of finite-element simulations, as well as linear and non

Picture for Hardness and Coating Thickness Standardization and Measurements Project Including Equipment and Standards Organizations

Hardness Standardization and Measurements

Ongoing

DESCRIPTION Purpose: Provide measurement traceability for the Knoop, Rockwell, and Vickers hardness scales and for coating thickness measurements that are based on magnetic methods. Goals: Harmonization of hardness and coating thickness testing protocols, in pursuit of reduction of measurement

Hermes: Modular Open-Source Tools for Autonomous Materials Science Experimentation

Ongoing

Autonomous Experimentation is one of the latest, most powerful paradigms of research that takes advantage of Machine Learning tools. However, most machine learning code bases are designed for generic data. Contrastingly, in Materials Science, and other sciences, the data has significant physical

High Performance Crystal Plasticity

Ongoing

“Crystal plasticity” is a computationally intensive way of computing the behavior of materials undergoing large permanent deformations. Computation is very inhomogeneous: A large effort is expended everywhere, but only a small portion of the computational domain is doing anything interesting. We

Hydration Reactions in Microstructures Project

Completed

Objective - Generate and publish reaction rate data and enhanced computer modeling tools to better understand and predict the rates of microstructure development and phase interactions in portland cement concrete binders. What is the new technical idea? Reflection digital holographic microscopy (DHM

Ab initio theoretical modeling for predicting structure and properties in advanced materials

Ongoing

Project activities include: Electronic structure of semiconductor-oxide interfaces. Thermodynamics of flexible microporous materials for gas storage Gas adsorption in microporous materials Analysis of topological materials, including magnetic topological insulators High-throughput screening of

Integrated Data Management for Materials Discovery

Ongoing

Learn more about the Thermodynamics Research Center (TRC); it's history, capabilities, and expanding role in chemical processing, experimental planning, and process design. TRC overview TRC's growth in becoming the nation's leading repository of thermodynamics data, along with evolving programing

Investigation of Fire-Affected Concrete’s Residual Properties and the Link to Petrographic Data

Ongoing

Objective To systematically investigate concrete elements exposed to real fire conditions and provide guidance to citizens, industry, and stakeholders when presented with responding to fire events. Specifically, a methodology, protocol, and/or guidance that supports decisions on when to repair or

Ion Traps

Ongoing

Trapped ions are sensitive to electric-field noise from trap-electrode surfaces. This noise has been an obstacle to progress in trapped-ion quantum information processing (QIP) experiments for more than a decade. It causes motional heating of the ions, and thus quantum-state decoherence. This

JARVIS-ALIGNN, JARVIS-ALIGNN-FF

Ongoing

ALIGNN uses a line graph neural networks to include bond distances and angular information graph to incorporate finer details of atomic structure, leading to high accuracy models. While the nodes of an atomistic graph correspond to atoms and its edges correspond to bonds, the nodes of an atomistic

JARVIS-ML

Ongoing

JARVIS-ML introduced Classical Force-field Inspired Descriptors (CFID) as a universal framework to represent a material’s chemistry-structure-charge related data. With the help of CFID and JARVIS-DFT data, several high-accuracy classifications and regression ML models were developed, with

Lead-Free Solder

Completed

The U.S. microelectronics industry has clearly articulated the measurement needs for lead-free solders, and for solderability and assembly. For example, the urgency for materials data for lead-free solders has been specified in the 1997 IPC, 1999 International Technology Roadmap for Semiconductors

Lead-Free Surface Finishes for Electronic Components: Tin Whisker Growth

Completed

Tin is widely used as a coating in the electronics industry because it provides excellent solderability, ductility, electrical conductivity, and corrosion resistance. Unfortunately, tin whiskers often grow spontaneously from pure tin electrodeposits and short-circuit finely pitched electrical

Light-matter interactions in Semiconductor Nanostructures

Ongoing

We investigate the interaction of light with semiconductor-based nanostructures. We extend concepts of entanglement and coherence in atomic physics to our solid-state systems. Our devices are based on semiconductors, like GaAs. We use InAs quantum dots (QDs) in GaAs as artificial atoms; they have

A group of students in a laboratory with computers and equipment

A Low-Cost Robot Science Kit for Education

Ongoing

Despite its low cost, Legolas has been demonstrated for machine learning-driven hypothesis design, discovery, and validation. For the last four years, Legolas has been used in hands-on courses at the University of Maryland to teach next-generation workforce skills, including ML, control systems

Machine Learning to Predict Multicomponent Colloidal Crystals

Ongoing

There is a direct link between a material’s macroscopic properties and its microscopic structure, which makes rational bottom-up self-assembly a powerful tool for engineering properties of materials. In general, colloids are facile material building blocks whose shape, charge, and surface

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