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Realizing large birefringence via S-substitution and anisotropic arrangement optimization
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作者 Zhiwei Sun Bingbing Wu +5 位作者 Zihao Yu Qingran Ding Yuling Wang Ming Zhong Sangen Zhao Junhua Luo 《Inorganic Chemistry Frontiers》 2025年第24期8086-8094,共9页
Despite the widespread use of birefringence crystals in optical instruments,the birefringence of commercially available crystals is generally limited(Δn<0.3),making them less suitable for demanding optical require... Despite the widespread use of birefringence crystals in optical instruments,the birefringence of commercially available crystals is generally limited(Δn<0.3),making them less suitable for demanding optical requirements.In this work,three novel birefringent crystals,namely(C_(2)N_(5)H_(8))(H_(2)C_(3)N_(3)O_(3))·H_(2)O(1),(C_(2)N_(5)H_(8))_(3)(H_(2)C_(3)N_(3)S_(3))(HC_(3)N_(3)S_(3))·H_(2)O(2),and(C_(2)N_(5)H_(8))(H_(2)C_(3)N_(3)S_(3))·H_(2)O(3),were successfully synthesized via a two-step strategy.In their anionic structures,a displaced parallel arrangement is observed among three crystals,combined with a partially distinct arbitrary intersecting arrangement.Further research findings indicate that sulfur(S)substitution(from 1 to 2)and the optimized arrangement of functional groups(from 2 to 3)lead to a significant enhancement in the birefringence.The experimental birefringence values at 550 nm increased from 0.259(1)to 0.347(2),reaching 0.403(3).Remarkably,the birefringence performance of compound 3 ranks third among all reported[C_(3)N_(3)S_(3)]-based materials.Theoretical calculations reveal that its high birefringence is primarily attributed to S-substitution and the optimized arrangement of functional groups.This work provides critical guidance for further exploration of the impact of structure on birefringence performance and opens up new research directions for designing high-performance optical materials. 展开更多
关键词 birefringence crystals optical materials optical instrumentsthe sulfur substitution birefringence theoretical calculations anisotropic arrangement birefringent crystalsnamely c n h h c n o h o c n h h c n s hc n s h o c n h h c n s h o
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Accurate machine learning interatomic potentials for polyacene molecular crystals:application to single molecule host-vip systems
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作者 Burak Gurlek Shubham Sharma +2 位作者 Paolo Lazzaroni Angel Rubio Mariana Rossi 《npj Computational Materials》 2025年第1期3453-3464,共12页
Emerging machine learning interatomic potentials(MLIPs)offer a promising solution for large-scale accurate material simulations,but stringent tests related to the description of vibrational dynamics in molecular cryst... Emerging machine learning interatomic potentials(MLIPs)offer a promising solution for large-scale accurate material simulations,but stringent tests related to the description of vibrational dynamics in molecular crystals remain scarce.Here,we develop a general MLIP by leveraging the graph neural network-based MACE architecture and active-learning strategies to accurately capture vibrational dynamics across a range of polyacene-based molecular crystals,namely naphthalene,anthracene,tetracene and pentacene.Through careful error propagation,we show that these potentials are accurate and enable the study of anharmonic vibrational features,vibrational lifetimes,and vibrational coupling.In particular,we investigate large-scale host-vip systems based on these molecular crystals,showing the capacity of molecular-dynamics-based techniques to explain and quantify vibrational coupling between host and vip nuclear motion.Our results establish a framework for understanding vibrational signatures in large-scale complex molecular systems and thus represent an important step for engineering vibrational interactions in molecular environments. 展开更多
关键词 graph neural networks machine learning interatomic potentials machine learning interatomic potentials mlips offer vibrational dynamics molecular crystalsnamely active learning strategies molecular crystals polyacene molecular crystals
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