Quantemol

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Quantemol Ltd is a plasma simulation company based in London. It was founded by Professor Jonathan Tennyson FRS and Dr Daniel Brown in 2004. The company init...

Latest Videos

Controlling Uniformity Plasma Chemistry Workshop 2026

Intro to Quantemol Plasma Chemistry Workshop 2026

Tailored Waveform Biasing Plasma Chemistry Workshop 2026

Neutral Dissociation Plasma Chemistry Workshop 2026

Quantemol Plasma Chemistry Workshop 2025 Dr. Oliver Bramley - Quantemol

Quantemol Plasma Chemistry Workshop 2025 Dr. Greg Armstrong - Quantemol

Quantemol Plasma Chemistry Workshop 2025 Dr. Kateryna Lemishko - Quantemol

Quantemol Plasma Chemistry Workshop 2025 Anna Nelson - Quantemol CEO

QW OCT 24 MACHINE LEARNING BASED APPROACH FOR FILLING GAPS IN DATA ON PLASMA RELATED PROCESSES

QW Oct 24 Calculating the Dissociation of TEOS

QW October 2023 Effective Core Pottentials In UKRmol+

QW Oct 2024 Atomic Layer Etching, Plasma Aspect and Process Examples

QIW Oct 2024 Use of Effective Core Potentials for Heavy atoms in QEC

Quantemol Workshop Oct 2024 QDB Demo and Modelling, by Dr. Arshad Quraishi

Quantemol Plasma Chemistry Workshop Ryan Brook, Leeds University

Quantemol Plasma Chemistry Workshop Dr Montu Bhuvu, University of York & Oxford Instruments

Quantemol Plasma Chemistry Workshop Dr Zdenek Masin, Charles University

Quantemol Plasma Chemistry Workshop Dr Kateryna Lemishko, Quantemol

Quantemol Plasma Chemistry Workshop Dr Sebastian Mohr, Quantemol

Quantemol Plasma Chemistry Workshop Dr Gregory Armstrong, Quantemol

Demo of a machine learning estimator for binary diffusion coefficients (Quantemol-DB)

Machine learning models for mass spectra predictions (Quantemol-DB)

Quantemol Online Workshop “Simulating vibrational emission spectra for CO2 low-temperature plasma”

Quantemol Online Workshop “Using QuantemolDB to collect and optimize plasma chemistry sets”

Quantemol Online Workshop “Extensions of QEC to handle isotopes and heavy elements”

Quantemol Online Workshop “Machine learning-based solutions for modelling plasma-related processes”

Machine learning-based estimator for rate coefficients of heavy particle collisions by Quantemol

Quantemol-EC demonstration and a case study for C4F8 molecule cross sections calculations

Chemistry set assembly, optimisation and analysis with QDB tools by Dr Sebastian Mohr

How to install Quantemol-EC and link it with Molpro