Computational chemistry – Page 6
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ResearchComputational study predicts new high-pressure polymorph of Roy
Conformational energy-corrected DFT combined with crystal structure prediction leads to first crystal energy landscape for Roy that agrees with experimental evidence
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OpinionThe chemist’s gambit
If artificial intelligence can revolutionise chess, what might it do to chemistry?
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OpinionThe law of conservation of data
AI and machine learning are useful and powerful, but they need high quality data inputs that aren’t available yet for drug discovery
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ResearchAlgorithm out of Google’s DeepMind finesses DFT calculations
Machine learning creates algorithm that avoids large errors in solutions to certain problems
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ResearchUnsupervised machine-learning tool could accelerate catalyst discovery
The approach was able to identify phosphine ligands that may form dinuclear palladium(I) complexes using only five experimental data points
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ResearchMinority Report-esque AI predicts new designer drugs before they’re made
Machine learning program accurately predicts structure of unknown psychoactive substances from mass spectra alone
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ResearchTextbook electronegativity model fails when it comes to carbon–halogen bond strengths
Computational analysis finds that it’s size, not electronegativity differences, determining bond strength within periodic table groups
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WebinarEfficient modelling of polymers for industrial applications using molecular dynamics
Learn how simulations can elevate polymer modelling and enhance your workflow
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ResearchDouble aromaticity puts a hex on gallium
Planar hexacoordinate cluster isn’t stable when other group 13 elements replace gallium
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ResearchModel performs reality check on adsorbents for carbon capture
Tool could save researchers time by assessing new materials from a variety of angles
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ResearchAre organic chemists discovering fewer reactions than they were decades ago?
Analysis of millions of transformations reveals reliance on popular methods – and the rise of complex reactions
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OpinionWeininger’s Smiles
The man whose code – and attitude to life – brought much happiness to chemists
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BusinessPredicting and preventing production losses with AI
Seebo’s machine learning technology helps chemical manufacturers get deep insight into their processes
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WebinarOptimising protein stability using new computational design approaches for biologics
Learn how to use modern computational methods to optimise your approach to protein stability
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WebinarSublime precursors: how modelling organometallics at surfaces drives innovation in materials processing
Explore atomic-scale simulation workflows – and learn about key precursor properties and the thermodynamics of adsorption
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ResearchMachine learning accurately predicts RNA structures using tiny dataset
Development could lead to better understanding of RNA and new medicines
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WebinarDigitalisation and the future of formulating in modern R&D labs
Learn how to remove barriers at work to implement a true data infrastructure tailored for your business
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ResearchApp creates floating 3D molecules from hand-drawn chemical structures
MolAR also lets users visualise molecules in water, coffee and fruit by scanning them with a smartphone camera
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WebinarFind robust operating points using JMP’s Simulation Experiment tool
Learn how simulations can be used to minimise defect rate and improve crucial targets
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ResearchNeural network scours vast chemical space to design drug-delivering peptides
Oligonucleotide drug activity boosted 50-fold with peptide designed by machine learning algorithm