Dr Devis Di Tommaso

Devis Di Tommaso
PhD MRSC

Reader in Computational Chemistry
REF Lead for Unit of Assessment 8 (Chemistry)

School of Physical and Chemical Sciences
Queen Mary University of London
ResearcherID ORCID Scopus ResearchGate Google Scholar LinkedIn

Research

Computational chemistry, Theoretical catalysis, CO2 conversion, Machine learning, Nucleation and growth

Interests

Dr. Devis Di Tommaso is a Reader in Computational Chemistry at the School of Physical and Chemical Sciences, Queen Mary University of London. His research expertise spans several areas at the intersection of computational chemistry, materials science, and environmental sustainability:


1) Development and Application of Computational Chemistry Techniques
Dr. Di Tommaso’s group employs advanced computational methods, combining quantum chemistry and machine learning approaches to investigate the properties of materials, with a particular focus on their catalytic behavior. Their research relies heavily on high-performance computing resources.


2) CO₂ Mineralization
The group explores mineral carbonation processes for CO₂ utilization, aiming to transform CO₂ into value-added chemicals and materials, contributing to carbon capture and storage strategies.


3) Electrocatalytic Reduction of CO₂
They provide theoretical insights into the electrocatalytic reduction of CO₂ to valuable chemicals, with a special interest in how amorphization can be leveraged to tune catalytic properties.


4) Solution Thermodynamics
Another key focus is bridging molecular-level models with macroscopic descriptions of solution thermodynamics, enhancing understanding of complex chemical systems.


5) Crystal Nucleation and Growth
A significant portion of Dr. Di Tommaso’s research is dedicated to modeling crystal nucleation and growth processes for both organic and inorganic materials in complex solutions.


Dr. Di Tommaso’s work is highly interdisciplinary, addressing critical challenges in materials synthesis and environmental sustainability. His contributions are widely recognized through numerous publications and collaborative projects.