Alexander Whiteside
I joined the Royal Society of Chemistry as a Publishing Editor in the journals section in 2016. In 2021 I moved in to the role of Development Editor on our materials chemistry portfolio. In addition to my responsibilities as an editor, I also contribute to Chemistry World.
My interests include good coffee, art, cinema, and amateur astronomy.
ResearchDFT boosts machine-learning models of nucleophilic aromatic substitution reactions
Best of both worlds for computational organic chemistry predictions
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Hydrogen bonds join forces to maximise water–water interaction
Cooperative environment encourages stronger chemistry
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How the products of fire control the formation of snow
Nadine Borduas-Dedekind brings an organic chemist’s arrow-pushing insight to reactions in the atmosphere
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Automatic conformer investigator takes tedium out of exploring low-energy chemical space
Quantum chemical calculations drive program that quickly and easily builds up plausible ensembles of molecular conformers
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Language-based software’s accurate predictions translate to benefits for chemists
State-of-the-art design for computer language processing results in improved models for predicting chemistry
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Uncertainty metric builds confidence in machine learned-chemistry
Calculation will help users recognise when they need to retrain a neural network
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Bond order through a molecular orbital lens
Study computes diatomic bond orders across the periodic table and reveals new bonding insights
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Synthesis-searching software’s superior scoring sharpens selections
Realistic costs and diverse suggestions make Chematica more insightful
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Multitasking graphene ink printed into tiny flexible supercapacitors
Screen-printed devices show strength in numbers
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Delocalisation pins down meaning of bond order
Reliable bond order definition provides new insights into covalency
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Carbon bubble-wrap could be packed with interesting behaviour
Theoretical chemists devise nanoscale version of satisfyingly interactive packaging material
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Tech red unmasked
An unusual oxide of radioactive technetium reveals its secrets after 50 years
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Benchmark for molecular machine learning
Scientists make open-source database to test programs that learn chemistry
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Plotting a course to new antibiotics
Mapping out the chemical space of peptide antibiotics offers an efficient way to find new compounds
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Neural network provides accurate simulations without the cost
An efficient new computer brain can provide quick answers to computational chemistry problems
