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The combined use of NMR spectroscopy and quantum chemical calculations has become a powerful strategy for structural elucidation. However, halogenated compounds pose a particular challenge due to the so-called HALA effect, where heavy atoms distort the shielding of nearby light atoms, often leading to misleading predictions. Although a common workaround is to discard affected signals, this approach fails in polyhalogenated systems, where too much valuable information is lost. In this study, we systematically explored a range of strategies to mitigate the HALA effect across different levels of theory and probability-based methods: DP4, MM-DP4+, and DP4+. This comprehensive analysis led us to develop HALO-DP4+, a simple yet robust correction protocol that significantly improves performance and can be universally applied regardless level of theory used. To streamline its use, we updated our DP4+App to fully automate the correction process, making HALO-DP4+ readily accessible for routine structure determination, even in challenging halogenated frameworks.
Passaglia et al. (Mon,) studied this question.
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