Analytic Gradients and Nonadiabatic Couplings for Device-Resident DMRG-QD-NEVPT2 Through Conical Intersections on a Consumer GPU
该研究通过在消费级GPU上实现DMRG-QD-NEVPT2方法，提供解析梯度和非绝热耦合，解决了锥形交叉点处的非绝热动力学问题。
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Selected work
Representative Papers
Time-Varying Data as Sheaves: an Invitation to Narratives
本文提出了一种名为叙事的抽象框架，用于处理时间变化的数据，并通过三个案例展示了如何解决信息丢失、数据分解及多智能体系统建模等问题。
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Structural Analysis of a Dynamic Multilayer Network via Matrix Autoregressive Models: A Case Study of International Interactions between Countries
本文使用矩阵自回归模型分析动态多层网络结构，以国家间互动为例，揭示了负面言语互动对后续物质互动层重构的影响。
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Statistics in the Age of AI
本文讨论了AI时代统计学如何通过构建、批评和保护统计依据来确保数据支持科学主张，强调了问题与目标对统计方法的重要性以及数据分析选择的合理性。
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Bayesian Node Edge Modeling of Road Crashes in Central Bogotá
Traditional approaches struggle to differentiate between road segments and intersections in terms of their distinct crash exposure characteristics and connectivity patterns. This study proposes a Bayesian negative binomial node–edge model that, for the first time, jointly models intersections and segments as heterogeneous network units, explicitly capturing their divergent crash mechanisms. Integrating variables such as road network topology, land use, and signal control, the framework establishes an interpretable baseline for urban crash analysis. Empirical results indicate that four-legged or higher-order intersections and higher approach speeds significantly increase expected crash frequency. Among segment-level factors, road class and signalization exhibit the strongest associations with crash occurrence, whereas certain pavement types demonstrate limited predictive power.
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Recent publications
Latest Papers
Analytic Gradients and Nonadiabatic Couplings for Device-Resident DMRG-QD-NEVPT2 Through Conical Intersections on a Consumer GPU
该研究通过在消费级GPU上实现DMRG-QD-NEVPT2方法，提供解析梯度和非绝热耦合，解决了锥形交叉点处的非绝热动力学问题。
0 citationsRead paper
Time-Varying Data as Sheaves: an Invitation to Narratives
本文提出了一种名为叙事的抽象框架，用于处理时间变化的数据，并通过三个案例展示了如何解决信息丢失、数据分解及多智能体系统建模等问题。
0 citationsRead paper
Structural Analysis of a Dynamic Multilayer Network via Matrix Autoregressive Models: A Case Study of International Interactions between Countries
本文使用矩阵自回归模型分析动态多层网络结构，以国家间互动为例，揭示了负面言语互动对后续物质互动层重构的影响。
0 citationsRead paper
Statistics in the Age of AI
本文讨论了AI时代统计学如何通过构建、批评和保护统计依据来确保数据支持科学主张，强调了问题与目标对统计方法的重要性以及数据分析选择的合理性。
0 citationsRead paper
Bayesian Node Edge Modeling of Road Crashes in Central Bogotá
Traditional approaches struggle to differentiate between road segments and intersections in terms of their distinct crash exposure characteristics and connectivity patterns. This study proposes a Bayesian negative binomial node–edge model that, for the first time, jointly models intersections and segments as heterogeneous network units, explicitly capturing their divergent crash mechanisms. Integrating variables such as road network topology, land use, and signal control, the framework establishes an interpretable baseline for urban crash analysis. Empirical results indicate that four-legged or higher-order intersections and higher approach speeds significantly increase expected crash frequency. Among segment-level factors, road class and signalization exhibit the strongest associations with crash occurrence, whereas certain pavement types demonstrate limited predictive power.
0 citationsRead paper