Digital Transformation in Switzerland: The Current State and Expectations

Kavli Affiliate: Johannes Lehmann | Summary:This paper provides a comprehensive, descriptive overview of the current state of digital transformation in the Swiss economy and delineates areas that businesses should keep an eye on. Key findings illustrate that even established technologies are not universally adopted, that companies tend to overestimate their technological status compared to their […]


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Digital technologies and performance incentives: Evidence from businesses in the Swiss economy

Kavli Affiliate: Johannes Lehmann | Summary:Using novel survey data from Swiss firms, this paper empirically examines the relationship between the use of digital technologies and the prevalence of performance incentives. We argue that digital technologies tend to reduce the cost of organizational monitoring through improved measurement of employee behavior and performance, as well as through […]


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Organizational culture and the usage of Industry 4.0 technologies: evidence from Swiss businesses

Kavli Affiliate: Johannes Lehmann | Summary:Using novel establishment-level observational data from Switzerland, we empirically examine whether the usage of key technologies of Industry 4.0 distinguishes across firms with different types of organizational culture. Based on the Technology-Organization-Environment and the Competing Values framework, we hypothesize that the developmental culture has the greatest potential to promote the […]


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Floquet-Thermalization via Instantons near Dynamical Freezing

Kavli Affiliate: Debanjan Chowdhury | Summary:Periodically driven Floquet quantum many-body systems have revealed new insights into the rich interplay of thermalization, and growth of entanglement. The phenomenology of dynamical freezing, whereby a translationally invariant many-body system exhibits emergent conservation laws and a slow growth of entanglement entropy at certain fixed ratios of a drive amplitude […]


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T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements

Kavli Affiliate: Jie Shan | First 5 Authors: Xiangxi Tian, Jie Shan, , , | Summary: Generating continuous environmental models from sparsely sampled data is a critical challenge in spatial modeling, particularly for topography. Traditional spatial interpolation methods often struggle with handling sparse measurements. To address this, we propose a Transformer-based Generative Model for Spatial […]


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Relativistic Mott transition in strongly correlated artificial graphene

Kavli Affiliate: Jie Shan | First 5 Authors: Liguo Ma, Raghav Chaturvedi, Phuong X. Nguyen, Kenji Watanabe, Takashi Taniguchi | Summary: The realization of graphene has provided a bench-top laboratory for quantum electrodynamics. The low-energy excitations of graphene are two-dimensional massless Dirac fermions with opposite chiralities at the $pm$K valleys of the graphene Brillouin zone. […]


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Training Large Language Models to Reason in a Continuous Latent Space

Kavli Affiliate: Zhiting Tian | First 5 Authors: Shibo Hao, Shibo Hao, , , | Summary: Large language models (LLMs) are typically constrained to reason in the language space, where they express the reasoning process through a chain-of-thought (CoT) to solve complex problems. However, the language space may not always be optimal for reasoning. Most […]


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A New Moiré Platform Based on M-Point Twisting

Kavli Affiliate: Jie Shan | First 5 Authors: Dumitru Călugăru, Yi Jiang, Haoyu Hu, Hanqi Pi, Jiabin Yu | Summary: We introduce a new class of moir’e systems and materials based on monolayers with triangular lattices and low-energy states at the M points of the Brillouin zone. These M-point moir’e materials are fundamentally distinct from […]


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How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective

Kavli Affiliate: Dan Luo | First 5 Authors: Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu | Summary: Graph-based recommender systems have achieved remarkable effectiveness by modeling high-order interactions between users and items. However, such approaches are significantly undermined by popularity bias, which distorts the interaction graph’s structure, referred to as topology bias. […]


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2D Theoretically Twistable Material Database

Kavli Affiliate: Jie Shan | First 5 Authors: Yi Jiang, Urko Petralanda, Grigorii Skorupskii, Qiaoling Xu, Hanqi Pi | Summary: The study of twisted two-dimensional (2D) materials, where twisting layers create moir’e superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene (TBG) and twisted […]


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