skip to content
 

Materials Modelling Seminar

Professor Michele Ceriotti, Laboratory of Computational Science and Modelling, EPFL

Wednesday 24th April 2019, 12:00

Goldsmiths 1 (0_017), Department of Materials Science & Metallurgy

Title: Atomistic Machine Learning between Physics and Data

Abstract:

Statistical regression techniques have become very fashionable as a tool to predict the properties of systems at the atomic scale, sidestepping much of the computational cost of first-principles simulations and making it possible to perform simulations that require thorough statistical sampling without compromising on the accuracy of the electronic structure model.

In this talk I will argue how data-driven modelling can be rooted in a mathematically rigorous and physically-motivated framework, and how this is beneficial to the accuracy and the transferability of the model. I will also highlight how machine learning - despite amounting essentially to data interpolation - can provide important physical insights on the behaviour of complex systems, on the synthesizability and on the structure-property relations of materials.

I will give examples concerning all sorts of atomistic systems, from semiconductors to molecular crystals, and properties as diverse as drug-protein interactions, dielectric response of aqueous systems and NMR chemical shielding in the solid state.

talks.cam: http://talks.cam.ac.uk/talk/index/111646

Latest news

Anatase-like Grain Boundary Structure in Rutile Titanium Dioxide

30 April 2021

A collaboration between researchers at Cambridge and AIMR has shed light on grain boundary structures in titania.

Physics World Breakthrough of the Year finalists for 2020

17 December 2020

A paper coauthored by Chris Pickard and Bartomeu Monserrat has been selected as a Top 10 finalist in Physics World's breakthroughs of the year for 2020.

An upper limit for the speed of sound

17 November 2020

A collaboration involving Bartomeu Monserrat and Chris Pickard was featured on both the University website and the Department website .

New fellowships for Chuck

17 November 2020

Congratulations to Chuck Witt, who began recently as a Schmidt Science Fellow and as a Junior Research Fellow at Christ's College, Cambridge! The Schmidt award is intended to catalyze new research directions and...

Machine learning shows how hydrogen becomes a metal inside giant planets

10 September 2020

By combining machine learning and quantum mechanics, researchers have carried out simulations to discover how hydrogen becomes a metal under extreme pressures.

MSM-AIMR Joint Online Workshop 2020

8 September 2020

In the week of 24-28 August 2020, the Department of Materials Science and Metallurgy held a Joint Online Workshop with Tohoku University in Japan.

Hierarchically Structured Allotropes of Phosphorus from Data-Driven Exploration

22 June 2020

Researchers discover new elemental phosphorus structures by using 'fragments' of phosphorus as building blocks.