scanlond81.bsky.social
👤 Joined on 16 December 2024
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@scanlond81.bsky.socialDefect simulations are notoriously sensitive to the many choices required 👨💻📊 In this Perspective, we highlight best practices in calculating 𝘢𝘯𝘥 𝘳𝘦𝘱𝘰𝘳𝘵𝘪𝘯𝘨 defect properties, hoping to establish guidelines for robust, transparent and reproducible defect simulations 🌟 www.nature.com/articles/s41...
Show Post@agsquires.bsky.social @aronwalsh.github.io @scanlond81.bsky.social
Show PostGreat day yesterday to celebrate my PhD graduation. Officially Dr Martin. Thanks to @graemeday.bsky.social for supervising! #compchem #chemsky
Show PostLed by @agsquires.bsky.social with myself, @aronwalsh.github.io & @scanlond81.bsky.social
Show PostDefect calculations have many pitfalls and key considerations for achieving good accuracy 🎯 In this perspective, we discuss these issues, how to avoid and how we can make defect simulations more reproducible – particularly important with more ML developments! 📊 chemrxiv.org/engage/chemr...
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