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Materials Science MEGA Webinar
MARCH 7 & 8, 2023

Scientific software is a core need in today's virtual and physical Materials Science research and development. Whether capturing your scientific method or simulating your virtual experiments, the IT and Informatics capabilities are critical to your immediate and future successes. 

Applicable Materials Science Domains

  • Polymers 

  • Formulations 

  • CASE (coatings, adhesives, sealants, elastomers) 

  • Nanoparticles 

  • Alternative proteins (alternative meat industry) 

  • Lithium-ion batteries 

  • Biomaterials 

  • Design and Manufacturing 

  • Electronic Materials 

  • Energy Materials 

  • Metals and Ceramics 

  • Nanomaterials 

  • Polymeric Materials 

  • Surface Science 


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Platinum Sponsors

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silver Sponsors

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speaker agenda

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Jun Liu

Sr. Marketing Manager



Revolutionizing Product Development through Smart Data Management


In today's rapidly advancing technological landscape, effective data management plays a crucial role in material science and product development. PerkinElmer Informatics Signals Research Platform offers a comprehensive solution to these challenges by bringing together the latest in data management and material science to help R&D organizations streamline their product development workflows. In this webinar, we will explore the capabilities of the Signals Research platform, including its advanced data management tools, its robust material science database, and its intuitive interface. Participants will learn how to leverage the platform's unique features to optimize product development and reduce time-to-market. By the end of the webinar, participants will have a better understanding of the role of smart data management in driving product development success.

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Scott Simpson, PhD

Assoc. Professor of Chemistry



The Molecular Corking Effect to Store Hydrogen



Hydrogen is a versatile, energy-dense gas that can be used as an alternative to fossil fuels in many applications, including transportation and power generation. However, widespread adoption of hydrogen fuels is limited, in part, by the inability to safely store and transport hydrogen gas outside of carefully controlled industrial environments. This project will study an intriguing chemical phenomenon called the "molecular corking effect," which may prove useful as a hydrogen gas storage mechanism. The molecular corking effect has been observed when hydrogen gas (diatomic hydrogen or H2) interacts with a class of materials called single-atom alloys. Single-atom alloys consist of a relatively inert noble metal surface interspersed with single atoms of catalytically-active metals such as platinum and palladium. When diatomic hydrogen gas contacts the single-atom alloy, the bond between the two hydrogen atoms is broken by the catalytically-active metal. The individual hydrogen atoms then spill over on the inert metal surface. A "cork" molecule that preferentially binds to the catalytically-active metal can be added to prevent the hydrogen atoms from reforming gaseous hydrogen. Hydrogen can be safely stored in this manner until the temperature is increased to remove the cork molecule and release the hydrogen gas from the surface. Fundamental insights into the entire molecular corking process must be developed to fully realize the potential of single-atom alloy hydrogen storage. The research objectives of this project will examine how molecular corks interact with single-atom alloys and describe the chemical characteristics of effective molecular corks.

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Claudio Cattevelli




Fluoropolymers: Concerns and Benefits


Highlight ongoing EU Commission analysis on PFAS. To analyze health concerns and try to visualize the real situation and the problems of not having proper alternatives to Fluoropolymers which will put in danger a large number of important and useful application in everyday lifetime for all mankind.

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Neil Kershaw

Synthetic Chemist






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Noel Hollingsworth




Why You Need a Structured Data System for Better Decision-Making in Materials Development



Managing large amounts of data stored and shared across various applications and tools has been and continues to be challenging for Materials, Chemicals, and broader R&D teams worldwide. With so much complexity in formulation, measurement, testing, and analysis, legacy data systems and incumbent solutions limit effective data management, leading to errors and inefficiencies in decision-making. Today, new and cutting-edge structured data systems are redefining Materials and Chemical Development organizations and driving better decisions and innovation. In this webinar, we'll discuss the limitations of legacy data systems and the benefits of implementing a modern, unified solution. Discover how a structured data system can help streamline workflows, improve collaboration, and provide accurate, accessible data for better decision-making and innovation. Learn about the differences between ELNs, LIMS, and modern structured data systems. Don't miss this opportunity to take your development to the next level.

John Walzer, PhD

Scientific Advisor



Overcoming Challenges to Automated Workflow Development in Materials Science


The Materials space presents unique challenges to the Discovery-Development-Deployment pipeline when compared to drug development, be it chemical (pharma) or Life Science focused. In many cases the ultimate product is an article of commerce and Product Life Management must be considered early in the development cycle. This presentation will discuss the applicability of modern R&D approaches (High Throughput Experimentation/Screening, automation, in silico screening) for various organizations (academia, startup, mature R&D organization, cloud lab) using example workflows from development pipelines for energy materials and polymers. Particular attention will be focused on developing or optimizing automated workflows in the materials space.

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Alysia Garmulewicz

Co-CEO & Founder



RegenLab: Materiom’s Autonomous Platform for biomaterial Synthesis and Testing


Materiom’s mission is to grow the biomaterials sector by 10x over the next decade. Using open data and AI, we empower scientists, entrepreneurs and companies to accelerate R&D and spur massive market entry. Materiom’s goal is for the autonomous platform to become a network of metrology equipment that synthesises and tests novel biofilms and biomaterials for material performance and manufacturability, including: mechanical performance (tensile and compression), rheology, barrier properties, and tests to assess a material’s compatibility with key biomaterial manufacturing processes (e.g. biofilm casting, thin film extrusion, etc.). The platform is used by Materiom to generate novel biomaterial recipes which are then shared open access on our platform. The platform is also used by biomaterial producers to rapidly develop and fine-tune biomaterial recipes in response to specific product-market niches across coatings and films, packaging, textiles, and other consumer goods.

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Nikolay Fateev

Head of Implementation



SciOps: A Transformational Framework for Accelerating Scientific Research


Scientific research is often hampered by low reproducibility rates, data loss, administrative burdens, and poor collaboration. These challenges can be overcome by adopting SciOps, a framework that applies best practices from other industries (such as design and software engineering) to optimize scientific workflows. In this talk, we will introduce the five pillars of SciOps: 1) Continuous improvement; 2) Sharing & collaboration; 3) Workflow automation; 4) Work in small batches; 5) Security & compliance. We will also demonstrate how SciOps can help scientific teams eliminate waste, speed up research, and increase output.

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Jilles Langeveld

Mechanical Engineer



The Magnetic Revolution of Cooling


A large proportion of the emissions related to cooling are hard to abate. The emissions of refrigerant gasses could account for 0.4 °C of global warming in 2100 (IEA, 2020). To reduce the climate impact of cooling, there is a need for an alternative, more efficient technology. At Magneto, we develop materials for a heating or cooling cycle based on the magnetocaloric effect, using metals instead of refrigerant gasses. We strive to create durable, efficient cooling and heating systems, with a lower total cost of ownership. Our technology will be 30% more energy-efficient than current cooling systems, without the use of polluting refrigerants. To gain a better understanding of the materials, and optimally use our R&D resources, we aim to create a data-driven model, using machine learning. In this webinar, we will share some of our challenges and our roadmap to contribute to a carbon-neutral future.

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Jonathan Pistorino




Battery Material Technology Scale-Up and Commercialization



Agenda - Tuesday, March 7th, 2023

Nick Reyonlds

Industry Process Consultant Director



Driving Innovation in Battery Materials Development with Computational Materials Science and Laboratory Informatics


The development of the next generation of batteries requires materials with improved properties.  Modeling and simulation methods at the molecular scale have advanced over the years for the prediction of the structure and properties of materials.  These methods provide a “Virtual Materials Lab” to accelerate materials development and guide experimental efforts.


Simulation methods allow researchers to study how changing cathode material structure affects open cell voltage, how anode molecular structure changes as Li ions diffuse in and out during charge/discharge cycles, and how the solid – electrolyte interface layer is built up and is stabilized.  This information helps guide materials selection and experimentation.


By connecting the length scales from the atomistic to the engineering scale, scientists and engineers are now able now able to, for example, study changes in battery electrolyte chemistry, predict the effect on Li ion diffusion, and from this predict changes in battery discharge curves.  Advances in Laboratory Informatics allow the creation of battery formulation recipes, and execution of lab workflows for the creation and testing of battery cells.


Examples of the use of computational materials science methods and laboratory testing for the development of improved battery materials will be highlighted, and attendees will see how the application of multi-scale modeling helps guide experimentation and accelerate battery materials development.

Markus Buehler, PhD

McAfee Prof. of Engineering



Digital Materials: From Ideation to Technology


Digital materials are designed through an integrated approach of large-scale computational modeling, material informatics, and artificial intelligence/machine learning to optimize and leverage novel smart material manufacturing for advanced mechanical properties, to create advanced products. Through the use of nanotechnology and additive manufacturing, and bio-inspired methods, we can now mimic and improve upon natural processes by which materials evolve, are manufactured, and how they meet changing functional needs. In this talk we show how we use mechanics to fabricate innovative materials from the molecular scale upwards, with built-in bio-inspired intelligence and novel properties, while sourced from sustainable resources, and breaking the barrier between living and non-living systems. This integrated materiomic approach is revolutionizing the way we design and use materials, and impacts many industries, as we harness data-driven modeling and manufacturing across domains and applications. The talk will cover several case studies covering distinct scales, from composites to biomaterials to food and agriculture, including hierarchical engineering.

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Craig Sterling






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Ian Stacey

Specials Projects & Advisor



SECOS Biopolymers – a disruptor to

conventional plastic use



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Agenda - Wednesday, March 8th, 2023

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