Siyuan Liu

Sep 12, 2024 | nature.com | Rebecca Shafee |Dustin Moraczewski |Siyuan Liu |Travis T. Mallard |Adam Thomas

AbstractLarge biobanks have dramatically advanced our understanding of genetic influences on human brain anatomy. However, most studies have combined rather than compared male and female participants. Here we screen for sex differences in the common genetic architecture of over 1000 neuroanatomical phenotypes in the UK Biobank and establish a general concordance between male and female participants in heritability estimates, genetic correlations, and variant-level effects.

Mar 14, 2024 | mdpi.com | Fei Yu |Siyuan Liu |Bo Liu

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Mar 10, 2024 | nature.com | Siyuan Liu |Chang Liu |Shuxin Zheng

AbstractOrbital-free density functional theory (OFDFT) is a quantum chemistry formulation that has a lower cost scaling than the prevailing Kohn–Sham DFT, which is increasingly desired for contemporary molecular research. However, its accuracy is limited by the kinetic energy density functional, which is notoriously hard to approximate for non-periodic molecular systems. Here we propose M-OFDFT, an OFDFT approach capable of solving molecular systems using a deep learning functional model.

Jan 18, 2024 | mdpi.com | Linlin Wang |Pengjie Wang |Yi Li |Siyuan Liu

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.

Nov 8, 2023 | frontiersin.org | Chen Li |Yingchun Zhang |Siyuan Liu

1. IntroductionAlzheimer’s disease (AD), a specific form of dementia, is a neurodegenerative disorder characterized by the presence of tau and β-amyloid deposition as well as neuronal loss. Alterations in inter-regional correlation networks within the brain are believed to contribute to atrophy and neurodegeneration in associated brain regions, ultimately leading to cognitive decline (Vemuri and Jack, 2010; Yu et al., 2021).