Concept

Group (periodic table)

Related publications (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Diego José Pasquier

This thesis is dedicated to the study of various aspects of the electronic structure of two-dimensional transition metal dichalcogenides (TMDs) of chemical composition MX

_2

(where M is a transition metal atom and X= S, Se, Te), using a combination of \te ...

EPFL2019

Group (periodic table)

Graph Chatbot

Chat with Graph Search

A water-based and metal-free dye solar cell exceeding 7% efficiency using a cationic poly(3,4-ethylenedioxythiophene) derivative

Machine-Learning of Atomic-Scale Properties Based on Physical Principles

To bend or not to bend, the dilemma of multiple bonds

Predicting the reflectivity and colour of metals from first principles

Crystal field, ligand field, and interorbital effects in two-dimensional transition metal dichalcogenides across the periodic table

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Electronic Structure and Topology of Novel Materials

Representations and descriptors unifying the study of molecular and bulk systems

Non-Precious Electrodes for Practical Alkaline Water Electrolysis

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

A water-based and metal-free dye solar cell exceeding 7% efficiency using a cationic poly(3,4-ethylenedioxythiophene) derivative

Machine-Learning of Atomic-Scale Properties Based on Physical Principles

To bend or not to bend, the dilemma of multiple bonds

Predicting the reflectivity and colour of metals from first principles

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Electronic Structure and Topology of Novel Materials

Representations and descriptors unifying the study of molecular and bulk systems

Non-Precious Electrodes for Practical Alkaline Water Electrolysis

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Crystal field, ligand field, and interorbital effects in two-dimensional transition metal dichalcogenides across the periodic table