Events

Deep Learning for the Natural Sciences

11 okt

FLOW Seminar

fredag 2019-10-11, 10.30

Medverkande: Prof. Ribana Roscher, University of Bonn

Plats: Faxén, Teknikringen 8

2019-10-11T10:30:00.000+02:00 2019-10-11T10:30:00.000+02:00 Deep Learning for the Natural Sciences (FLOW Seminar) Faxén, Teknikringen 8 (KTH, Stockholm, Sweden)Deep Learning for the Natural Sciences (FLOW Seminar)

Front dynamics and kinetic roughening in multiphase flows through anisotropic porous media: application to fuel cells

24 okt

FLOW Seminar

torsdag 2019-10-24, 10.30

Medverkande: Dario Maggiolo (Chalmers)

Plats: Faxén, FPL, Teknikringen 8

2019-10-24T10:30:00.000+02:00 2019-10-24T10:30:00.000+02:00 Front dynamics and kinetic roughening in multiphase flows through anisotropic porous media: application to fuel cells (FLOW Seminar) Faxén, FPL, Teknikringen 8 (KTH, Stockholm, Sweden)Front dynamics and kinetic roughening in multiphase flows through anisotropic porous media: application to fuel cells (FLOW Seminar)

Stability and transition in pitching wings

22 nov

PhD Defence

Engineering Mechanics

fredag 2019-11-22, 10.15

Medverkande: Prabal Singh Negi

Plats: F3, Lindstedsv. 26

Respondent: Prabal Singh Negi , Mechanics

2019-11-22T10:15:00.000+01:00 2019-11-22T10:15:00.000+01:00 Stability and transition in pitching wings (PhD Defence) F3, Lindstedsv. 26 (KTH, Stockholm, Sweden)Stability and transition in pitching wings (PhD Defence)

Advances in droplet evaporation

29 nov

PhD Defence

Engineering mechanics

fredag 2019-11-29, 10.15

Plats: Kollegiesalen

Respondent: Giandomenico Lupo , Mechanics

2019-11-29T10:15:00.000+01:00 2019-11-29T10:15:00.000+01:00 Advances in droplet evaporation (PhD Defence) Kollegiesalen (KTH, Stockholm, Sweden)Advances in droplet evaporation (PhD Defence)

FLOW School on Machine Learning and Data Driven Methods

2 dec

Courses

må 2019-12-02, 10.00 - to 2019-12-05, 17.00

Plats: Different rooms. See the course website!

2019-12-02T10:00:00.000+01:00 2019-12-05T17:00:00.000+01:00 FLOW School on Machine Learning and Data Driven Methods (Courses) Different rooms. See the course website! (KTH, Stockholm, Sweden)FLOW School on Machine Learning and Data Driven Methods (Courses)

Plants: Masters of Defense

5 dec

FLOW Seminar

torsdag 2019-12-05, 10.30 - 11.30

Medverkande: Kaare Jensen (DTU)

Plats: Faxén, FPL, Teknikringen 8

2019-12-05T10:30:00.000+01:00 2019-12-05T11:30:00.000+01:00 Plants: Masters of Defense (FLOW Seminar) Faxén, FPL, Teknikringen 8 (KTH, Stockholm, Sweden)Plants: Masters of Defense (FLOW Seminar)

Numerical study of particle suspensions in Newtonian and non-Newtonian fluids

6 dec

PhD Defence

Engineering mechanics

fredag 2019-12-06, 10.15

Plats: Ångdomen (Rumsnr:5209), Osquars backe 31, KTHB

Respondent: Dhiya Abdulhussain Alghalibi , Mechanics

2019-12-06T10:15:00.000+01:00 2019-12-06T10:15:00.000+01:00 Numerical study of particle suspensions in Newtonian and non-Newtonian fluids (PhD Defence) Ångdomen (Rumsnr:5209), Osquars backe 31, KTHB (KTH, Stockholm, Sweden)Numerical study of particle suspensions in Newtonian and non-Newtonian fluids (PhD Defence)

Numerical and modelling aspects of large-eddy and hybrid simulations of turbulent flows

19 dec

PhD Defence

Engineering mechanics

torsdag 2019-12-19, 10.15

Plats: F3 , Lindstedtsvägen 26

Respondent: Matteo Montecchia , Mechanics

2019-12-19T10:15:00.000+01:00 2019-12-19T10:15:00.000+01:00 Numerical and modelling aspects of large-eddy and hybrid simulations of turbulent flows (PhD Defence) F3 , Lindstedtsvägen 26 (KTH, Stockholm, Sweden)Numerical and modelling aspects of large-eddy and hybrid simulations of turbulent flows (PhD Defence)