14 May 2019
It is our pleasure to invite you to the Applied Computational Science (ACOS) symposium that will take place on 30 October 2019 at the Dutch Institute for Fundamental Energy Research (DIFFER), located at the campus of the Eindhoven University of Technology (TU/e).
14 May 2019
Just like toothpaste: Fluoride radically improves the stability of perovskite solar cells. A protective layer of fluoride can increase the stability of perovskite solar cells significantly, writes an international research collaboration in the leading journal Nature Energy .
15 April 2018
CCER's journal article ‘ Accurate and efficient band gap predictions of metal halide perovskites using the DFT-1/2 method: GW accuracy with DFT expense ’ by Shuxia Tao, Xi Cao and Peter Bobbert has been selected as one of the top 100 read materials science papers for Scientific Reports in 2017.
14 November 2017
The International Tokamak Physics Activity ( ITPA ) Central Committee has appointed DIFFER group leader and CCER member Dr. Jonathan Citrin as chair of its topical group on Transport and Confinement starting 1 January 2018.
4 July 2017
With the advent of the Center for Computational Energy Research (CCER), which was opened officially on June 21, cooperation will begin between TU/e and DIFFER in the area of calculations with energy. The CCER will place emphasis on model formation and explorative computer simulations, which must have a guiding role for experimental energy research.
22 June 2017
On the longest day of the year the Center for Computational Energy Research (CCER) was officially opened. Scientific director dr.ir. Vianney Koelman welcomed more than 100 visitors and positioned the new center as follows "The CCER aims to accelerate energy innovation by integrating high performance computing with energy research".
14 June 2017
On Wednesday June 21 former PvdA leader Diederik Samsom will speak at the official opening of the Center for Computational Energy Research (CCER), a new research center founded by TU/e in cooperation with DIFFER to perform computations concerning the energy systems of the future, such as nuclear fusion, solar fuels and thermal energy storage.