MSE Department Seminar

Soft electronic devices that can acquire vital signs from the human body represent an important trend for healthcare. Combined strategies of materials design and advanced microfabrication allow the integration of a variety of components and devices on a stretchable platform, resulting in functional systems with minimal constraints on the human body. In this presentation, I will demonstrate a wearable multichannel patch that can sense a collection of signals from the human skin in a wireless mode.

Polymorphism is the phenomena of solid compounds forming different crystal structures. Polymorphism is important in a myriad of practical applications of solid compounds such as pharmaceutical solids. However, the origin of the polymorphic behavior of solid compounds is still not well understood. We investigated the fluid-to-solid and solid-to-solid phase transitions of close-packed structures of strongly-segregated polymeric block copolymer micelles, model colloidal spheres.

I will present several examples in which materials informatics can be used to elucidate and quantify complex correlations linking structure, properties and processing of materials. In the first example, I consider the case of high-entropy (HE) (or multi-principal element) alloys, typically comprising five or more elements. The study of these alloys is a relatively new area of materials research that has attracted intense interest in recent years as, in many cases, these systems possess unexpected and superior mechanical (and other) properties relative to those of conventional alloys.

The reliable production of atomically-thin crystals with tailored properties is essential for exploring new science and implementing novel technologies in the 2-D limit. However, ongoing efforts are limited by the vague potential in scaling-up, restrictions on growth substrates and conditions, small sizes and instability of synthesized materials. In this talk, I will discuss our recent progress in the discovery and production of tellurene (2-D form of elemental tellurium) with an intriguing chiral-chain structure.

The emerging of new materials design tools and approaches, such as Materials Genome, machine learning and AI-assisted designs, are bringing new opportunities to materials science and engineering research. These new progresses also call for new experimental methodologies that can quickly verify and complement the computations/modeling. In our recent works, multiple in situ characterization methods were developed and combined with first principles based computations to design and develop new materials for energy storage in a significantly accelerated pace.

Globally, significant resources are consumed by the seemingly disparate challenges of controlling metal deposition, electrocatalysis, and corrosion. These problems seem particularly unrelated when considering their differing economic drivers and technical needs. However, despite the specific differences between these challenges, all of them are fundamentally driven by the same need for prediction and control of electron and ion transfer reactions at charged, heterogeneous interfaces.

Research into the mechanical behavior of brittle materials reached its height in the 1970’s and early 80’s. With notable exceptions, like RPI, many mechanics research laboratories have moved on to other areas of interest. For Corning Incorporated the need for mechanics knowledge has always been high and now more than ever. This talk will review some of the impactful mechanics work originating from the Mechanics Research Lab at Corning’s Sullivan Park technology center.

Coupling polymeric systems to nonlinear dynamics offers opportunities to create materials with tailored morphology and functionality via pattern forming processes. Examples include periodic striations from traveling fronts in thermal polymerization, coalescence of polymer films during dewetting, oscillatory gels, and phase separation. Here, we present a fundamentally new mechanism to organize polymeric materials that couples photopolymerization to the nonlinear dynamics of optical fields.

The need for higher efficiencies and performance in gas-turbine engines that propel aircraft in the air, and generate ~20% of world’s electricity on land, is pushing the engine operating temperatures to unprecedented levels. Replacing some of the current hot-section metallic components, coated with thermal-barrier coatings (TBCs), with ceramic-matrix composites (CMCs) is making that possible. A different type of high-temperature ceramic coatings system, that includes environmental-barrier coatings (EBCs), is needed to protect CMCs.

The discovery intrinsic magnetism in monolayer CrI3 and bilayer Cr2 Ge2Te6 created great interest in two-dimensional (2D) materials with intrinsic magnetic order. How many of these materials exist? What are their properties? We present a study of 2D materials with intrinsic magnetic order, materials at the forefront of physics research. We use materials informatics (machine learning applied to materials science) to study the magnetic and thermodynamic properties of 2D materials.