This cross-cutting symposium aims at expanding the scope of the conference by encouraging hot topics that are new to ICMCTF. The five sessions of the symposium will provide a forum for new pioneering topics including the latest advances in computational material science, the synthesis of nanomaterials and nanofabrication, and coatings based on multi-principal-element and 2D materials.
F1. Nanomaterial-based Coatings and Structures
This session focuses on harnessing nanoscale phenomena and innovative deposition strategies for new types of nanostructures and nanomaterial coatings with a wide spectrum of functionalities. Advances in the formation and applications of thin films based on nanocrystals, nanoparticles, nanowires, nanotubes, and other types of nanostructures, as well as the development of novel synthesis technologies and in-situ diagnostic methods enabling monitoring of nanomaterial growth processes, will be addressed. The areas of interest include experimental, theoretical, and computational research in nanomaterials with controlled properties, processing-structure-property relationships, novel application concepts or prototypes using nanoengineered structures. Thus, the session will provide a unique platform for the discussion of fundamental issues and recent developments in synthesis of novel functional nanostructured materials as well as the ways to apply them in the next generation of research and manufacturing processes.
F1. Invited Speaker:
- Simon Brown, University of Canterbury, New Zealand, “Brain-Like Behaviour in Percolating Films of Nanoparticles”
F2. High Entropy and Other Multi-principal-element Materials
High entropy alloys (HEAs) and other multi-principal-element materials are multi-component systems in which high entropy of mixing, or kinetic effects, stabilize a solid solution. They exhibit unique chemical and physical properties and have therefore recently attracted a growing interest in the materials science community. This session will be a platform for thin film-related research on high entropy and multi-principal-element materials including metal alloys, carbides, nitrides, and oxides as well as other multi-component systems in which high entropy affects phase stability. Topics of interest include but are not limited to, modeling, thin film processing, and characterizations of HEAs and other multi-principal-element materials.
F2. Invited Speakers:
- Matthew Witman, Sandia National Laboratories, USA, “Data-Driven Methods Enable Rational Design of High Entropy Materials for Hydrogen Storage”
F3. 2D Materials: Synthesis, Characterization, and Applications
This session focuses on exciting developments in the field of 2D materials, including but not limited to graphene, transition metal dichalcogenides (MoS2, WS2, etc.), BN, oxides, as well as emerging 2D carbides and nitrides. 2D materials have been extensively researched in the last decade as atomically-thin metal, semiconductor, and insulator materials with novel and extraordinary properties. Recent advances in their synthesis have provided new possibilities to tune their structure, properties, and enhance their electrical, mechanical, lubrication, and
anticorrosion performances. Researchers working in the field of 2D material synthesis and processing, characterization, and applications are encouraged to submit abstracts. We seek to advance the research and development of 2D material-based coatings by connecting researchers from diverse academic and industrial backgrounds, including tribology, materials science, physics, and chemistry.
Topics include: controlled scalable synthesis of 2D materials, composite materials and heterostructures, mixed 2D phases and alloys, formation and control of defects, grain boundaries, edges, interfaces, nanopores, characterization, theoretical modeling, device fabrication, post-synthesis engineering of 2D materials using chemical treatments and ion/electron beams, and applications of 2D materials in electronics, sensing, coating, friction/wear reduction, anti-corrosion, and anti-fouling.
F3. Invited Speakers:
- Yu-Lun Chueh, National Tsing-Hua University, Taiwan,: “Two-Dimensional Layered Materials Toward Phase/ Structure-Engineered Hybrid Films for Innovative Nanoelectronics”
- Wenzhou Wu, Purdue University, “Tellurene Electronics and Sensors”
F4: New Horizons in Boron-containing Coatings
Borides and boron-containing thin film materials are emerging as the next generation of hard, wear-, oxidation-, and corrosion-resistant coatings. Furthermore, various boron-based materials exhibit unique properties obtaining high potential for functional and architectural designs. The aim of this session is to provide a platform for first-principles design, synthesis, characterization of properties and defect structure as well as applications of different types of boron-containing protective and functional thin films.
F4 Invited Speakers:
- José Luis Endrino, Universidad Loyola Andalucia, Spain, “Wear Resistant Boron-containing Coatings: Arc vs. HiPIMS”
- Christina Kainz, Montanuniversität Leoben, Austria, “Quaternary CrTaBN: Experimental and Theoretical Insights Into a Novel Coating Material with Promising Mechanical Properties and Exceptional Thermal Stability”
- Tomasz Mościcki, Polish Academy of Sciences, Poland, “Ternary Tungsten Boride Coatings with Improved Mechanical Properties Deposited by High-Power Pulsed Magnetron Sputtering from One Spark Plasma Sintered Target”
- Takayama Shin, Mitsubishi Materials Corporation, Japan, “Characterization of AlTiLaBN Hard Coating and its Cutting Tool Application”
F5: Machine Learning and Process Modeling for Coating Design and Production
An exponential growth of computational power and storage density, combined with progress in data science, have brought about the information revolution. Data-driven methods are now in ubiquitous use in multiple fields, including life sciences and medicine, economics, social networks, etc. A visionary suggestion of integrating materials development with data-driven methods, materials informatics, is bringing a disruptive paradigm shift in materials science. The framework has the potential to reduce dramatically cost, risks and time for materials discoveries, by an order of magnitude or more. It is capable to produce qualitatively new insights, beyond the reach of conventional research techniques. This topical session will focus on presenting machine learning, artificial intelligence, visualization algorithms and high-throughput methods, as well as best practices of their applications for the knowledge-based materials design. Challenges related to the generation, curation, and exploration of big materials data from a wide range of sources, theoretical, as well as experimental will be discussed. Additionally, predictive process modeling and simulation will be discussed as a tool which provides irreplaceable insight into process conditions and quantities which cannot be measured. Thanks to the advancements in computational power and process fundamentals, it has also become feasible to simulate entire industrial coaters and coated parts. As such, process modeling helps to de-risk and speed up coater design, process upscaling as well as retrofitting new processes into existing coaters. Process modeling also provides an additional layer of physics-based process metadata that can be leveraged by the machine learning and AI methods. The topical session will bring together the broad community of researchers in metallurgical coatings and thin films with leading experts and young researchers developing and applying data-driven methods in materials science.
F5 Invited Speakers:
- Andreas Pflug, Fraunhofer Institute for Surface Engineering and Thin Films IST, Germany