ICACC18 Plenary and Award Speakers
The award and plenary speakers program kicks off ICACC18 on Monday, January 22nd from 8:30 a.m. to 12:00 p.m. Make your plans to participate and hear these esteemed speakers.
James I. Mueller Award
George G. Wicks, CTO, Applied Research Center, S.C.; VP/CTO, SpheroFill LLC; Wicks Consulting Services LLC; adjunct professor, Medical College of Georgia, Georgia Regents University; consulting scientist (retired), Savannah River National Laboratory. Read full bio here.
Title: Tiny Bubbles: An innovative ceramic opens new opportunities in medicine, security, energy, and environmental remediation
Tiny bubbles or porous wall hollow glass microspheres (PWHGMs), represent an example of multi-use technologies. The technology was originally developed for nuclear applications at the Savannah River National Laboratory and now is being further advanced and tailored for a multitude of new uses in other fields and disciplines. This work is currently being conducted at the Applied Research Center (ARC) in Aiken, S.C., as well as at a new biotech spin off company, SpheroFill LLC. Among the interesting initiatives are applications of tailored PWHGMs in medicine (e.g., drug delivery platforms, contrast agents, tissue augmentation, laryngeal use), security (e.g., nonproliferation, anticounterfeiting), energy (e.g., hydrogen storage, batteries), and environmental remediation (e.g., CO2 sequestration).
The PWHGMs are tiny hollow glass microspheres or microballoons about one-third the diameter of a human hair. They range in size from a few to 100 microns in diameter, and have thin outer shells approximately 1˗2 microns thick. The most unique feature that distinguishes these microspheres from others, is that a continuous, through-wall porosity is induced via phase separation and subsequently controlled on a scale of 100 to 1,000 Angstroms. This provides pathways from the outside of the microspheres to their interior, and allows the tiny glass cocoons to be filled with cargos of interest, including solids, liquids and gases. The cargos or payloads can then later be released on demand. The development of these unique materials and some of the exciting new applications being studied will be discussed.
Bridge Building Award
Yanchun Zhou, professor and deputy director of science and technology of Advanced Functional Composite Laboratory at the Aerospace Research Institute of Materials and Processing Technology of China. Read full bio here.
Title: Strategies for searching for damage tolerant ceramics: from MAX phases to MAB phases
Transition metal carbides, nitrides and borides are potential materials for extreme environment applications. However, the brittleness and defect sensitivity are main obstacles to their applications. Formation of nanolaminated structures like MAX phases (Mn+1AXn, where M is an early transition metal, X is carbon or nitrogen, A is a IIIA-VIA group element, n=1-6) has been proven to be an effective approach to overcome the brittleness of transition metal carbides and nitrides. These materials are characterized by a transition metal carbide or nitride Mn+1Xn layer interleaved by a close packed A-group element layer, which exhibit a unique combination of the merits of both metals and ceramics. These properties have been proven to be underpinned by the diverse chemical bonding. The continuous discovery of new members and properties, and new applications of MAX phases engenders an enormous interest in searching for materials with similar structure and properties. In this presentation, the multi-scale structural features and the applications of MAX phases will be introduced first. Then strategies for searching for new layer structured damage tolerant ceramics will be proposed. Finally, the structure and properties of Cr, Si, Al or Y containing new layer structured materials including MAB phases, (MC)nAl3C2, (MC)nAl4C3 and(MC)n[Al(Si)]4C3 phases will be described.
Richard Brook, Emeritus Professor, Dept. of Materials, University of Oxford, United Kingdom. Read full bio here.
Title: Research. Why? For whom? How?
Abstract: The motives for undertaking research are many and diverse, but three major driving forces can be identified; these are presented. The relationships between research sponsor and research performer are similarly of many different types. The one between researcher and government is, however, particularly prevalent; the ambitions of the two sides are not always parallel and risks then arise for the shared enterprise. Rules for the judgement and support of research are reviewed and some thought is given to the approaches which can be taken by the researcher in search of true originality.
Frank Mücklich, Univ.-Prof. Dr.-Ing., Head, Institute for Functional Materials, Department of Materials Science & Engineering, Saarland University, Germany. Read full bio here.
Title: 3D microstructure is the “know-It-all“ – Advanced classification and quantitative analysis including data mining and deep learning methods
Abstract: The term microstructure refers to the complete “internal” structure of a material on the micro, nano and atomic scales. On one hand it records de facto, the entire history of material’s processing procedures through its phase composition, defect structure and microstructural morphology. On the other hand, almost all properties are predetermined by the microstructure. Thus, it can be seen as the “multi-scale archive” from which we can “read” at each relevant scale the precise information about the genesis of microstructure formation processes as well as predict the final material properties. Recent advances in 3D tomography methods on the micro, nano and atomic scales allow not only for higher local resolution but also for correlative combination of microscopic techniques in order to investigate microstructures with higher morphological and topological complexity, which is very crucial for modeling and quantitative understanding of high performing materials in the future. On the other hand, in our daily experimental work but also in commercial quality control, the best possible classification of microstructures by individual experts using image analysis tools is the typical procedure, which convoys our investigation. In case of high morphological complexity of the microstructure, also the 2D data mining procedures for such classifications could very much benefit from morphological “3D-signatures” of the microstructural elements. In addition to that, the Deep Learning methods have shown surprisingly good performance in vision applications by learning the features from data together with such classification steps. This will be presented for the method of Fully Convolutional Neural Networks.
The ECD Global Young Investigator Award
Thomas Fischer, Institute of Inorganic Chemistry, University of Cologne, Germany
Title: Electrospun metal oxide fiber meshes for improved sensing of toxic analytes in the gas phase
Abstract: Gas sensors need to combine a high sensitivity and analyte selectivity with acceptable readout speed and long term stability by not sacrificing the fabrication scalability and system integration capability, when it comes to commercialization. Metal oxide semiconductors are applied as chemirosistive gas sensing materials, but lack a specific target selectivity especially in humid environments as well as exhibit rather slow sensing kinetics when used as pure unmodified material. Resistive metal oxide gas sensors with nanowire based sensing materials offer high surface areas and defined signaling pathways for improved device performance thus fulfilling most of the aforementioned criteria, but most often lack the potential of large scale integration, due to complex fabrication techniques. In contrast, electrospun metal oxide fibers and fiber meshes can be fabricated in comparable large amounts at ambient conditions, thus providing ideal materials for either the active sensing layer or necessary preconcentrators and filters, respectively. A direct integration onto multifunctional gas sensing platforms is also possible in modified electropinning setups, thus providing inteconnected sensing meshes with high surface areas.