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QDB can be linked to your plasma modelling software via API. In this video we are using Q-VT, but if you are interested in linking a different plasma modelling software to QDB please get in touch with the Quantemol team to find out more!
Click on the link below to check out the tutorial:
The Data 2 Design workshop agenda is now available. Click on the link below to find out what you will be doing on the day. Those who have already registered will also receive an email with more information.
We are looking for a Scientist to manage and develop QDB, a database of plasma processes data.This is a fantastic opportunity for someone looking to utilise their technical background in a commercial environment for real life problems and contribute to cutting edge research in plasma applications. You will be collaborating with a wide range of researchers from around the globe, and have the opportunity to travel and present at events where the latest innovations in plasma science are showcased. The database can be accessed at www.quantemolDB.com and is our latest company project. Check it out before applying!
We are looking for candidates with at least a degree in physics, chemistry or a relevant field. The successful candidate will have the opportunity for off-site training courses in database development and management. Experience with Python / Django and SQL experience is essential.
Key Responsibilities
Desirable Skills and Experience
Based in central London, Quantemol was founded by Professor Jonathan Tennyson FRS and Dr Daniel Brown in 2004. We develop unique software tools that bring accessibility to highly sophisticated research codes and unique data also provides consultancy services to large corporations from semiconductor’s industry. Since 2004 we have grown our product portfolio through collaborations with experts such as Professor Mark Kushner to develop esteemed plasma simulation codes. We are now based in London Angel, and have a global reach with clients including large international blue-chip companies.
To apply: Please send an updated CV and cover letter to jobs@quantemol.com
Informal enquiries: Please contact Professor Jonathan Tennyson using the contact details below
j.tennyson@ucl.ac.uk
(+44) 207 679 7809
The Quantemol team are moving from London Euston to bigger offices in London Angel on the 21st of August 2017 as our team is growing!
We’ve got extra desk space and bigger meeting rooms to accommodate customers who want to come to London for training. Contact us on info@quantemol.com for more details.
Quantemol will be at the 23rd International Symposium on Plasma Chemistry in Montreal. Stop by and see us during the Monday afternoon poster session, and keep an eye open for our QDB subscription raffle!
Saj Zand-Lashani and James Hamilton will be there from the Quantemol team.
Nitrogen Trifluoride (NF3) cross section has been calculated and confirmed! Click on the link below to find out more!
https://www.quantemoldb.com/blog/nitrogen-trifluoride-nf3-cross-section-calculated-and-confirmed/
A new chemistry has been added to QDB. The NF3/O2/Ar chemistry has been validated and is now available. To access the chemistry you can click on the link below.
Quantemol is hosting the 'From Chemistry Data to Plasma Design' workshop on the 15th of September 2017.
Register to attend by clicking here!
We have just released a basic tutorial to help you search for species, reactions, and look for chemistries on the database. Click on the link below to start watching!
Our paper Tennyson et al., QDB: a new database of plasma chemistries and reactions, Plasma Sources Science and Technology 26, 055014 (2017) has now been published online.
We would like to welcome Saj Zand-Lashani our new team member at Quantemol!
The Quantemol team is delighted to release the plasma chemistry database QDB to the world!
We are very excited and looking forward to your feedback and contributions. This a community targeted project and the QDB mission is to provide plasma chemistry data solutions to meet the ever-changing demands of industrial and academic plasma modelling research.