1. Layer-by-layer growth of bilayer graphene single-crystals enabled by proximity catalytic activity 

   Zhang Z.; Zhou L.; Chen Z.; et al. (2024)

   Nano Today

   Direct growth of large-area vertically stacked two-dimensional (2D) van der Waal (vdW) materials is a prerequisite for their high-end applications in integrated electronics, optoelectronics and photovoltaics. Currently, centimetre- to even metre-scale monolayers of single-crystal graphene (MLG) and hexagonal boron nitride (h-BN) have been achieved by epitaxial growth on various single-crystalline substrates. However, in principle, this ...

   Journal Article

2. Model-Agnostic Random Weighting for Out-of-Distribution Generalization 

   He Y.; Tian P.; Xu R.; et al. (2024)

   Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

   Despite the encouraging successes in numerous applications, machine learning methods grounded on the i.i.d. assumption often experience performance deterioration when confronted with the distribution shift between training and test data. This challenge has instigated recent research endeavors focusing on out-of-distribution (OOD) generalization. A particularly pervasive and intricate OOD problem is to enhance the model's generalization ...

   Conference Paper

3. Causal Machine Learning for Cost-Effective Allocation of Development Aid 

   Kuzmanovic M.; Frauen D.; Hatt T.; et al. (2024)

   Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

   The Sustainable Development Goals (SDGs) of the United Nations provide a blueprint of a better future by "leaving no one behind", and, to achieve the SDGs by 2030, poor countries require immense volumes of development aid. In this paper, we develop a causal machine learning framework for predicting heterogeneous treatment effects of aid disbursements to inform effective aid allocation. Specifically, our framework comprises three components: ...

   Conference Paper

4. Low-excitation transport and separation of high-mass-ratio mixed-species ion chains 

   Lancellotti F.; Welte S.; Simoni M.; et al. (2024)

   Physical Review Research

   We demonstrate low-excitation transport and separation of two-ion crystals consisting of one Be+9 and one Ca+40 ion, with a high mass ratio of 4.4. The full separation involves transport of the mixed-species chain, splitting each ion into separate potential wells, and then transport of each ion prior to detection. We find the high mass ratio makes the protocol sensitive to mode crossings between axial and radial modes, as well as to ...

   Journal Article

5. Utile/Utilitas 

   Hampe M. (2024)

   The Bloomsbury Handbook of Spinoza

   Book Chapter

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