The last year has seen an intensification of discussions about the transition to open access publishing, particularly in Europe. In January 2019, a transformational agreement was announced between Wiley and Projekt DEAL, which represents the German research community. The contract describes a “Publish and Read” model under which German research institutions are eligible for read…
DAY ONE This first day of the Summer School Materials 4.0 – Deep Mechanics started with the Welcome and Opening ceremony. On behalf of the organization team, Prof. Gianaurelio Cuniberti, Prof. Sybille Gemming and Prof. Markus Kästner gave a warm welcome to all the participants and speakers. They introduced the ideas of DCMS and the…
Materials Innovation Driven by Data and Knowledge Systems Prof. Surya R. Kalidindi Regents Professor George W. Woodruff School of Mechanical Engineering School of Computational Science and Engineering School of Materials Science and Engineering Georgia Institute of Technology Friday, August 23rd, 11:30 – 12:30 Görgesbau (Helmholtzstr. 9), room 229 Abstract: Emerging concepts and toolsets in Data…
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.
