"Grätzel" solar cells achieve a new record
Scientists at EPFL have increased the power conversion efficiency of dye-sensitized solar cells ("Grätzel cells") beyond 15% in direct sunlight and 30% in ambient light conditions.
Machine learning predicts heat capacities of MOFs
Chemical engineers at EPFL have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials. The work shows that the overall energy costs of carbon-capture processes could be much lower than expected.
Organized jointly by Professors Nicolai Cramer, Jieping Zhu and Jerome Waser, the seminars usually take place on Wednesday at 17:15. Unless indicated otherwise, the lecture takes place in BCH 2218.
The Physical Chemistry Seminar Series at ISIC.
Unless it is otherwise specified, the seminars take place on Thursday at 17:15 in BCH 2201.
The Machine Learning Seminars are organized by Prof. Berend Smit, Prof. Clémence Corminboeuf and Prof. Jiri Vanicek, the seminars usually take place on Tuesdays at 15:15. Unless indicated otherwise, the lecture takes place on Zoom.
E-mail: [email protected]
Ecole Polytechnique Fédérale de Lausanne
EPFL SB ISIC-Direction
CH A3 398