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Text Content

Congress

Welcome Address

Welcome to the congress



Scientific Coordination

Shaping the scientific content



Guest Country

Spotlight on Sweden



Keydates & Deadlines

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Downloads

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FAQ

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Congress Organizer & Contact

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Program

Scientific Program

Overview of the scientific program



Plenary Speakers

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Poster Session

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Congress Party

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Participation

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Hybrid Event Experience

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Congress Venue

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Child Care

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Security Measures

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Topics

Biomaterials

8 Symposia



Characterization

11 Symposia



Digital Transformation

6 Symposia



Functional Materials, Surfaces and Devices

16 Symposia



Circular Materials

4 Symposia



Modelling and Simulation

6 Symbosia



Processing and Synthesis

7 Symbosia



Structural Materials

11 Symbosia

Call for Abstracts

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Exhibition & Sponsoring
Review MSE 2022

Congress
Welcome Address Scientific Coordination Guest Country Keydates & Deadlines
Downloads FAQ Congress Organizer & Contact
Program
Scientific Program Plenary Speakers Poster Session Congress Party
Participation
Tickets Hybrid Event Experience Congress Venue About Darmstadt (Germany) Travel
Information DB Congress Ticket Child Care Security Measures
Topics
Biomaterials Characterization Digital Transformation Functional Materials,
Surfaces and Devices Circular Materials Modelling and Simulation Processing and
Synthesis Structural Materials
Call for Abstracts
Abstract Submission & Management Template
Exhibition & Sponsoring
Review MSE 2022
Login
Congress Program Participation Topics Call for Abstracts Exhibition & Sponsoring
Review MSE 2022

Topics
Biomaterials Characterization Digital Transformation Functional Materials,
Surfaces and Devices Circular Materials Modelling and Simulation Processing and
Synthesis Structural Materials

Digital Transformation

Topic
D: Digital Transformation


The digital transformation era marks a paradigm shift impacting numerous
engineering fields including mobility, communication, security, and health. This
topic explores the depths of how digitalization is intricately woven into
Material Science and Engineering (MSE), influencing designs and predictive
simulations, while paving the way for new opportunities and challenges. Material
innovations form the bedrock of progress, with significant implications on
economic and scientific landscapes. This symposium invites thinkers,
professionals, and innovators to shape the future, leveraging digital
empowerment for material advancements. Engage in deep conversations, explore
case studies, and foster collaborations that aim to steer the direction of
innovation in MSE.

Symposium
D01: Navigating the Digital Revolution in Material Science and Engineering -
General Symposium Topic D
Special Symposium
D02: Digital Transformation in Everyday Laboratory Life
Special Symposium
D03: Digital Materials: Experiments, simulation workflows, ontologies, and
interoperability
Special Symposium
D04: AI in Materials Processing
Special Symposium
D05: Digital Circular Economy - Platforms, Models and Algorithms
Special Symposium
D06: Materials Science in the Era of Digital Transformation and Machine Learning
Topic coordinator
Prof. Dr.
Chris Eberl

Fraunhofer Institute for Mechanics of Materials IWM

Dr. rer. nat.
Tilmann Hickel

Max-Planck-Institut für Eisenforschung GmbH

Website
Prof. Dr.
Martina Zimmermann

Fraunhofer Institute for Material and Beam Technology IWS Dresden

Website
 * Symposium
   D01: Navigating the Digital Revolution in Material Science and Engineering -
   General Symposium Topic D
   
   Dive deep into the transformative influence of digitalization in Material
   Science and Engineering. This symposium, designed as a beacon for innovators
   and thinkers, will delve into every nuance of digitalization's impact, from
   pioneering predictive simulations to avant-garde materials design techniques.
   Together, we will look at case studies, share research, and forecast the
   future where nearly three-quarters of material-based innovations will be born
   out of digital advancements. Whether you're a researcher, industrialist, or
   academic, this symposium promises a comprehensive look at a
   digitally-empowered future in materials science.
   
   
   
   Symposium Organizer
   Prof. Dr.
   Chris Eberl
   
   Fraunhofer Institute for Mechanics of Materials IWM (DE)
   
   Dr. rer. nat.
   Tilmann Hickel
   
   Max-Planck-Institut für Eisenforschung GmbH (DE)
   
   Website
   Prof. Dr.
   Martina Zimmermann
   
   Fraunhofer Institute for Material and Beam Technology IWS Dresden (DE)
   
   Website
 * Special Symposium
   D02: Digital Transformation in Everyday Laboratory Life
   
   While digitalization in Material Science and Engineering promises to open up
   new horizons in this research field, the challenges to introduce digital
   tools in everyday laboratory life have to be addressed alike. The
   introduction of electronic-lab-books for example do not only need a common
   understanding of how to structure and handle data according to the FAIR
   (findable, accessible, interoperable, reusable) principles, but also a user
   friendly design of the digital infrastructure. Moreover, one of the
   cornerstones of a successful digital transformation of laboratory life is to
   get the analysis and test equipment suppliers on board. And finally,
   educational measures for scientists and lab technicians have to be
   established. Best practice examples as well as introductory overviews of
   single solutions shall be presented in this symposium, bringing together the
   key enablers of everyday laboratory life, be they data stewards, or lab
   officers or providers of experimental equipment. 
   
   
   
   Symposium Organizer
   Prof. Dr.-Ing.
   Birgit Skrotzki
   
   Bundesanstalt für Materialforschung und -prüfung (BAM) (DE)
   
   Website
   Prof. Dr.
   Martina Zimmermann
   
   Fraunhofer Institute for Material and Beam Technology IWS Dresden (DE)
   
   Website
 * Special Symposium
   D03: Digital Materials: Experiments, simulation workflows, ontologies, and
   interoperability
   
   Materials Science and Engineering is undergoing a major paradigm shift
   towards more efficient digitalization. Integration and reuse of data and
   knowledge from synthesis, production, characterization as well as of
   modelling activities open new perspectives for innovation. Emerging fields of
   Materials Informatics employing tools such as machine learning, big-data
   applications, statistical inference and Integrated Computational Materials
   Engineering (ICME) allow accelerating the discovery of new compositions and
   processes tailored to the production of materials with specific properties
   and microstructures. Efficient modeling and simulation of materials
   engineering processes is based on large amounts of heterogeneous experimental
   and simulation data. This data captures multiple scales, from atomistic to
   continuum, and a diversity of relevant physical, chemical and mechanical
   concepts such as thermodynamics, kinetics, functional and mechanical
   properties as well as metadata on materials history, data origin and
   provenance.
   
   A key to enable the digitalization of materials and to leverage the
   advantages and opportunities of the digital age is an interoperable digital
   representation of materials and processes. An appropriate management of
   materials data requires the use of FAIR principles (findable, accessible,
   interoperable, and reusable). Digital workflows ensure the unity of materials
   data and used simulation protocols. They connect individual software tools,
   automatize the storage and curation of final simulation results as well as
   relevant intermediate steps and can, therewith, ensure the reproducibility of
   computational procedures. Ontologies are essential for formally representing
   universal materials science concepts, their interrelationships, and
   workflows. Application ontologies enhance identification, data integration
   and fully fledged complex simulation workflows. This will improve
   explainability and validation of real-life and simulated process designs. A
   unique identification and elucidation of entities and relations is required
   to meet the FAIR principles.
   
   In this symposium, we call for an open discussion and exchange about the
   recent technical and scientific challenges involved in developing an
   interoperable representation of materials and processes. These include recent
   developments of ontologies, materials data schemas and software solutions
   that allow representation and integration of workflows, processes, and
   materials in a digitalized manner.
   
   
   
   Symposium Organizer
   Univ.-Prof. Dr.-Ing.
   Tilmann Beck
   
   RPTU Kaiserslautern-Landau (DE)
   
   Dr.
   Gerhard Goldbeck
   
   Goldbeck Consulting Ltd (GB)
   
   Dr. rer. nat.
   Tilmann Hickel
   
   Max-Planck-Institut für Eisenforschung GmbH (DE)
   
   Website
 * Special Symposium
   D04: AI in Materials Processing
   
   Artificial intelligence (AI) is rapidly transforming the field of materials
   processing, with the potential to revolutionise the way we design,
   manufacture, and use materials. AI-powered tools and systems are being used
   to improve the efficiency, sustainability, and reliability of materials
   processing operations.
   
    * 
   
   
   
   
   
   Artificial intelligence technologies, including machine learning (ML), and
   natural language processing (NLP), can be employed to extract insights and
   patterns of big data analytics collected for process control, generative
   designs for material processing, digital twinning of processes and
   shopfloors, virtual and augmented reality, quality control, prediction and
   optimisation of the processes, additive manufacturing, and all forms of
   materials processing.
   
   
   
    * The use of AI to enable new materials processing paradigms, such as
      closed-loop control, predictive maintenance, and self-optimising systems.
    * The development of AI-powered tools and systems for integrated materials
      processing design and manufacturing.
    * The use of AI to address the challenges of sustainable and circular
      materials processing.
    * The social and ethical implications of AI in materials processing.
   
   
   
   The overarching aim of this symposium is to explore the use of AI in the
   fast-changing landscape of materials processing such that it could lay a
   policy framework for the transformative potential of AI for the future of the
   field. This symposium invites abstracts from researchers, academics, and
   industrial AI users to discuss the latest advances of AI in materials
   processing.
   
   
   
   Symposium Organizer
   Dr.
   Kiran Gulia
   
   University of Wolverhampton (GB)
   
   Website
   Prof. Dr.
   Christian Kapteyn
   
   SRH Campus Hamburg (DE)

 * Special Symposium
   D05: Digital Circular Economy - Platforms, Models and Algorithms
   
   Material Circularity is a big challenge in the transformation of industry.
   Digitalization can be a key enabler to enhance the efficiency and
   sustainability of the circular economy. This symposium seeks to share
   research results and insights about digital platforms, models and algorithms
   in the emerging field of the digital circular economy:
   
   
   
    * Ontologies and knowledge graphs in context of circular economy
    * Platform solutions, e.g. for sharing recycling machine capacities and
      resale of recycled materials
    * Planning workflows of closed process and value chains including recycling
    * Simulation approaches to predict the recyclability of a product
    * Methods for material identification and sorting, including recognition
      algorithms
    * Digital assistants for the improvement of material circularity
    * Traceability of products to determine life cycles, contaminations and
      logistics
    * Digital twins to enhance recyclability of multi-material solutions
   
   
   
   The symposium is supposed to be a joint symposium between the sessions D:
   Digital Transforation and I: Circular Materials
   
   
   
   Symposium Organizer
   Thomas Bjarsch
   
   Fraunhofer IGCV (DE)
   
   Maximilian Holland
   
   Fraunhofer Research Institution for Casting, Composite and Processing
   Technology IGCV (DE)
   
   Frank Manis
   
   Fraunhofer Research Institution for Casting, Composite and Processing
   Technology IGCV (DE)

 * Special Symposium
   D06: Materials Science in the Era of Digital Transformation and Machine
   Learning
   
   The digital transformation is enabling the acceleration of the design,
   discovery, development and deployment of new functional and structural
   materials solutions. Traditional methods for developing new materials, such
   as the empirical trial-and-error method, cannot keep pace with the current
   development of materials science due to their long development cycles and
   high costs. Data driven approaches, especially machine learning methods, play
   an important role in materials science already today, and also in the
   immediate future. These include effectively work with high-dimensional data
   sets, prediction of material properties, high-throughput methods for
   determining phase diagrams and crystal structures, material design, and
   efficient and cost-effective methods for controlling material processes.
   
   The current wide range of possibilities but also the limits of data-centric
   methods such as artificial intelligence, autonomous labs, high-throughput
   materials synthesis and characterization, and materials combinatorics will be
   brought together in this symposium.
   
   
   
   Symposium Organizer
   Dr.-Ing.
   Katrin Bugelnig
   
   German Aerospace Center (DLR) (DE)
   
   Univ.-Prof. Dr. techn.
   Guillermo Requena
   
   German Aerospace Center (DLR) (DE)
   
   Tobias Strohmann
   
   German Aerospace Center (DLR) (DE)
   
   Dr.-Ing.
   Anastasiya Tönjes
   
   Leibniz Institute for Materials Engineering - IWT (DE)



MSE 2024
24 - 26 September 2024 | Hybrid Congress in Darmstadt (Germany) & Online MSE
2024 24 - 26 September 2024 | Hybrid Congress in Darmstadt (Germany) & Online


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 * Congress
   * Welcome Address
   * Scientific Coordination
   * Guest Country
   * Keydates & Deadlines
   * Downloads
   * FAQ
   * Congress Organizer & Contact
 * Program
   * Scientific Program
   * Plenary Speakers
   * Poster Session
   * Congress Party
 * Participation
   * Tickets
   * Hybrid Event Experience
   * Congress Venue
   * About Darmstadt (Germany)
   * Travel Information
   * DB Congress Ticket
   * Child Care
   * Security Measures
 * Topics
   * Biomaterials
   * Characterization
   * Digital Transformation
   * Functional Materials, Surfaces and Devices
   * Circular Materials
   * Modelling and Simulation
   * Processing and Synthesis
   * Structural Materials
 * Call for Abstracts
   * Abstract Submission & Management
   * Template
 * Exhibition & Sponsoring
 * Review MSE 2022

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