Berend Smit

photo placeholder image

berend.smit@epfl.ch +41 21 693 00 79

EPFL Valais Wallis
EPFL SB ISIC LSMO
Rue de l'Industrie 17
Case postale 440
CH-1951 Sion

Web site: Web site: https://lsmo.epfl.ch/

EPFL E EDCH-GE
BCH 3313 (Batochime UNIL)
Av. F.-A. Forel 2
CH-1015 Lausanne

Web site: Web site: https://go.epfl.ch/edch

vCard
Administrative data

Teaching & PhD

Teaching

Chemistry and Chemical Engineering

PhD Programs

Doctoral Program in Chemistry and Chemical Engineering

Doctoral Program in Technology Management

Courses

Modeling lab

(Coursebook not yet approved by the section)

Understanding advanced molecular simulation

(Coursebook not yet approved by the section)

Energy systems engineering

This course will provide a toolkit to students to understand and analyze sustainable energy systems. In addition, the main sustainable energy technologies will be introduced and their governing principles explained.

Computational methods in Chemistry and Chemical Engineering-Computational Carpentry and online materials

This course will have three components: Molecular Simulation, Electronic Laboratory Notebooks, and Machine learning. The focus of the course is applications to microporous materials (metal organic frameworks, zeolites, covalent organic frameworks) and is aimed at non-computational chemists.

Computational method in Chemistry and Chemical Engineering-Molecular Simulation of Adsorption

This course will have three components: Molecular Simulation, Electronic Laboratory Notebooks, and Machine learning. The focus of the course is applications to microporous materials (metal organic frameworks, zeolites, covalent organic frameworks) and is aimed at non-computational chemists.

Computational method in Chemistry and Chemical Engineering-Machine Learning

This course will have three components: Molecular Simulation, Electronic Laboratory Notebooks, and Machine learning. The focus of the course is applications to microporous materials (metal organic frameworks, zeolites, covalent organic frameworks) and is aimed at non-computational chemists.

Computational method in Chemistry and Chemical Engineering-Data in Chemistry and Electronic Lab Notebooks

This course will have three components: Molecular Simulation, Electronic Laboratory Notebooks, and Machine learning. The focus of the course is applications to microporous materials (metal organic frameworks, zeolites, covalent organic frameworks) and is aimed at non-computational chemists.