Accelerated Material Discovery Federico Zipoli, PhD IBM Research Division, Cognitive Computing & Industry Solutions Dept., Zurich Research Laboratory Monday, August 19th, 10:30 – 11:30 Görgesbau (Helmholtzstr. 9), room 229 Abstract: Experiments and theory have been widely used to drive the discovery novel material. In the last decades, also simulations contributed to speed up innovation. In silico experiments became…
MATERIALS 4.0: Deep Mechanics Monday 19.08.2019 – Friday 23.08.2019 TU Dresden (Germany) Applications open in March! Event page This summer school is part of TU Dresden’s Institutional Strategy, funded by the Excellence Initiative of the German Federal and State Governments.
DAYS FOUR AND FIVE The last two days of the summer school consisted of several talks about recent and ongoing research. A wide variety of topics were presented, such as optoelectronics and photovoltaics, discovery of magnetic materials, simulations for nanoelectronic engineering and thermal transport. Three participants presented their work in a dedicated session. On Friday,…
DAY THREE The third day started with Prof. Jörg Behler from the Georg-August-Universität in Göttingen giving a very interesting lecture on high dimensional neural network potentials. After an exciting introduction to machine learning techniques, including pitfalls and potential artefacts, he showed how ML techniques can be applied to constructing atomistic potentials relying on simple but very…
DAY TWO On the second day of the summer school, Prof. Cecilia Clementi (Rice University) gave a lecture on learning effective molecular models using machine learning methods. In particular, she addressed the problem to capture rare events – like protein folding – in molecular dynamics simulations and how to achieve long-time simulations using “short-time” data….
DAY ONE Day one of our international summer school Materials 4.0 – Deep Materials: Perspectives on data-driven materials research started with three lectures covering mathematical basics, practical usage and applications of machine learning methods. The first lecture was given by Prof. Roger French (Case Western University). He introduced the concept of big data and the resulting…
Deep Materials: Perspectives on data-driven materials research Event page This summer school is part of TU Dresden’s Institutional Strategy, funded by the Excellence Initiative of the German Federal and State Governments.
International summer school MATERIALS 4.0 Heterogeneous dislocation density modeling of interstitial free steel Prof. Dr. David Field, Washington State University Friday, Sept. 15th, 11:00 – 12:00 Görgesbau (Helmholtzstr. 9), room 229 Abstract: A polycrystalline interstitial free steel sample was plastically deformed under uniaxial tensile stress at room temperature and a low strain rate. The microstructure of the…
International summer school MATERIALS 4.0 Rational Computational Materials Design using Quantum Confinement or Beyond Structural Materials Engineering Prof. Dr. Thomas Heine, University of Leipzig Friday, Sept. 15th, 9:30 – 10:30 Görgesbau (Helmholtzstr. 9), room 229 Abstract: Quantum confinement is one of the design principles in nanotechnology. Well-known examples are quantum dots, which are nanocrystals whose electronic band…
International summer school MATERIALS 4.0 Materials Data Space – Roadmap to Industry 4.0- ready Materials Prof. Dr. Ralf B. Wehrspohn (Fraunhofer Institute for Microstructure of Materials and Systems IMWS) Wednesday, Sept. 13th, 18:00 – 19:30 Görgesbau (Helmholtzstr. 9), room 229 Abstract: New materials are the key drivers in the development of innovative products in the manufacturing sector….
