Publications de Boodsarin Sawatlon

The Genesis of Molecular Volcano Plots

Matthew Wodrich, Anne-Clémence Corminboeuf, Michael Markus Busch, Boodsarin Sawatlon

For the past two decades, linear free energy scaling relationships and volcano plots have seen frequent use as computational tools that aid in understanding and predicting the catalytic behavior of heterogeneous and electrocatalysts. Based on Sabatier's pr ...

2021

Molecular Volcano Plots: Tools for Rationalizing and Predicting the Performance of Homogeneous Catalysts

Boodsarin Sawatlon

The generation of catalyst design tools is important for developing both economically and environmentally friendly reactions. This thesis focuses on the use and development of such a tool, molecular volcano plots, which have the ability to estimate catalyt ...

EPFL2021

Data-Driven Advancement of Homogeneous Nickel Catalyst Activity for Aryl Ether Cleavage

Matthew Wodrich, Anne-Clémence Corminboeuf, Benjamin André René Meyer, Manuel Cordova, Boodsarin Sawatlon

The increasing urgency to make chemical processes more environmentally friendly while continuing to derive the chemicals required for modern society from renewable resources requires the development of a forthcoming generation of synthetic processes and th ...

AMER CHEMICAL SOC2020

Probing Substrate Scope with Molecular Volcanoes

Matthew Wodrich, Anne-Clémence Corminboeuf, Boodsarin Sawatlon

Molecular volcano plots, a tool generally used to identify ideal catalysts for a given chemical transformation, are employed in an alternative fashion to examine the substrate scope by revealing the range of substrates that can be accommodated by a single ...

AMER CHEMICAL SOC2020

Data Mining the C-C Cross-Coupling Genome

Matthew Wodrich, Anne-Clémence Corminboeuf, Alberto Fabrizio, Benjamin André René Meyer, Boodsarin Sawatlon

The speed and precision of machine-learning (ML) techniques in determining quantum chemical properties has resulted in a considerable computational speed up in comparison to traditional quantum chemical methods, and now allows a desired property of thousan ...

Wiley-VCH Verlag2019

Activity-Based Screening of Homogeneous Catalysts through the Rapid Assessment of Theoretically Derived Turnover Frequencies

Matthew Wodrich, Anne-Clémence Corminboeuf, Boodsarin Sawatlon

In homogeneous catalysis, the turnover frequency (TOF) and turnover number (TON) are the most commonly used quantities that experimentally describe catalytic activity. Computational studies, on the other hand, generally yield the ubiquitous free energy pro ...

AMER CHEMICAL SOC2019

Combining machine learning models and Sabatier's principle to predict the activity of homogeneous catalysts

Anne-Clémence Corminboeuf, Benjamin André René Meyer, Anatole von Lilienfeld, Boodsarin Sawatlon

AMER CHEMICAL SOC2019

(Un)supervised learning for the screening and classification of homogeneous catalysts

Matthew Wodrich, Anne-Clémence Corminboeuf, Benjamin André René Meyer, Boodsarin Sawatlon

AMER CHEMICAL SOC2019

Machine learning meets volcano plots: Computational discovery of cross-coupling catalysts

Anne-Clémence Corminboeuf, Benjamin André René Meyer, Anatole von Lilienfeld, Boodsarin Sawatlon

The application of modern machine learning to challenges in atomistic simulation is gaining attraction. We present new machine learning models that can predict the energy of the oxidative addition process between a transition metal complex and a substrate ...

2018

On the Generality of Molecular Volcano Plots

Matthew Wodrich, Anne-Clémence Corminboeuf, Michael Markus Busch, Boodsarin Sawatlon

In homogeneous catalysis, the structure and electronic config-uration of the active catalysts can vary significantly. Changes inligation, oxidation, and spin states have the potential to influ-ence the catalytic cycle energet ics strongly that, to a larged ...

Wiley-VCH Verlag2018