Person

Nicholas John Browning

This person is no longer with EPFL

Related publications (5)

Applications of Artificial Intelligence to Computational Chemistry

The calculation of the electronic structure of chemical systems, necessitates computationally expensive approximations to the time-independent electronic Schrödinger equation in order to yield static properties in good agreement with experimental results. ...

EPFL2019

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The development of thermostable and solvent-tolerant metalloproteins is a long-sought goal for many applica- tions in synthetic biology and biotechnology. In this work, we were able to engineer a highly thermo- and organic solvent- stable metallo variant o ...

2018

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property. Intelligent a priori selection of training examples is o ...

2017

Nonadiabatic effects in electronic and nuclear dynamics

Majed Chergui, Ursula Röthlisberger, Jiri Vanicek, Martin Peter Bircher, Tomas Zimmermann, Elisa Liberatore, Aurélien Kevin Fabrice Patoz, Nicholas John Browning

Due to their very nature, ultrafast phenomena are often accompanied by the occurrence of nonadiabatic effects. From a theoretical perspective, the treatment of nonadiabatic processes makes it necessary to go beyond the (quasi) static picture provided by th ...

2017

Lessons from Nature: Computational Design of Biomimetic Compounds and Processes

Ursula Röthlisberger, Pablo Campomanes Ramos, Elizabeth Claire Brunk, Negar Ashari Astani, Marta Andreia Da Silva Perez, Esra Bozkurt, Nicholas John Browning

Through millions of years of evolution, Nature has accomplished the development of highly efficient and sustainable processes and the idea to understand and copy natural strategies is therefore very appealing. However, in spite of intense experimental and ...

2014

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