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Department of Chemistry


Researcher awarded Leverhulme Prize for international impact

Photo of Silvia Vignolini courtesy Nathan Pitt

Dr Silvia Vignolini has been awarded a prestigious Philip Leverhulme prize for her research into bio-inspired optical materials.

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Student works to make education accessible to everyone

Courtesy Nick Saffell

Final-year chemist Shadab Ahmed has been featured in This Cambridge Life for his role as the Cambridge University Student Union Access and Funding Officer. 

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Congratulating the 2019 Nobel Chemistry Laureates

Image of Goodenough's battery: ©Johan Jarnestad/The Royal Swedish Academy of Sciences

"I am delighted the Nobel Prize for Chemistry has been awarded this year to three exceptional battery scientists," says our colleague Professor Clare Grey.

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Graduate student recognised for innovative research

Image: courtesy of Elsevier

Congratulations to Aaron Trowbridge, a recent graduate student of ours, who was named this week as a winner of the prestigious Reaxys PhD Prize 2019 for the research he conducted here.

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Welcoming two new members of staff

Image: Department of Chemistry Photography

We are welcoming two alumni – Alex Forse and Alex Thom – who have just become members of our academic staff.

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Meet Haydn Francis, Battery Researcher

Image: courtesy of the Faraday Institution

Meet PhD student Haydn Francis. He is just starting the second year of his research project here into new technologies that could slow the degradation of electric vehicle batteries.

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Let's Brew This

Courtesy Department of Chemistry

Chemists consumed coffee and cake today as part of The World's Biggest Coffee Morning, raising £348 for Macmillan Cancer Support.

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Tributes to Professor Sir Christopher Dobson

Courtesy Department of Chemistry

Heartfelt tributes are being paid to our distinguished colleague Professor Sir Christopher Dobson – a pioneering researcher in the chemistry of neurodegenerative diseases – who died on Sunday, 8 September 2019. 

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AI learns the language of chemistry to predict how to make medicines

Денис Марчук from Pixabay

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained chemists and suggests ways to make complex molecules, removing a significant hurdle in drug discovery.

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Are you coming to our Chemistry Networks event?

Image: Department of Chemistry

Are you coming to this year's Chemistry Networks – our annual networking and showcase event in September where we bring together scientists from academia and industry? This year, it focuses on AI and machine learning.

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