1. Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin 

   Nobar, Mahdi; Keller, Jurg; Rupenyan, Alisa; et al. (2024)

   IEEE Transactions on Automation Science and Engineering

   This article presents the guided Bayesian optimization (BO) algorithm as an efficient data-driven method for iteratively tuning closed-loop controller parameters using a digital twin of the system. The digital twin is built using closed-loop data acquired during standard BO iterations, and activated when the uncertainty in the Gaussian Process model of the optimization objective on the real system is high. We define a controller tuning ...

   Journal Article

2. Convergent Active Site Evolution in Platinum Single Atom Catalysts for Acetylene Hydrochlorination and Implications for Toxicity Minimization 

   Giulimondi, V.; Vanni, M.; Damir, S.; et al. (2024)

   ACS Catalysis

   Platinum single atoms anchored onto activated carbon enable highly stable Hg-free synthesis of vinyl chloride (VCM) via acetylene hydrochlorination. Compared to gold-based alternatives, platinum catalysts are in initial phases of development. Most synthetic approaches rely on chloroplatinic acid, presenting opportunities to explore other precursors and their impact on catalyst structure, reactivity, and toxicity aspects. Here, we synthesize ...

   Journal Article

3. Carbon Dioxide Origin during High-Yield Partial Oxidation of Methane to Protected Methyl Esters 

   Blankenship, Andrea N.; Toderasc, Alexandru-Tudor; Paunovic, Vladimir; et al. (2024)

   ACS Catalysis

   Mn/TiO2 catalysts are highly active for the partial oxidation of methane using dioxygen in acidic media to form oxidation-protected methyl esters. Nonetheless, the formation of carbon dioxide in these systems remains significant. In this study, we used C-13 isotope-labeled methane to trace the origin of the carbon dioxide formation. These experiments showed that carbon dioxide primarily stems from acid degradation rather than product ...

   Journal Article

4. Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling 

   Pati, Pushpak; Karkampouna, Sofia; Bonollo, Francesco; et al. (2024)

   NATURE MACHINE INTELLIGENCE

   Understanding the spatial heterogeneity of tumours and its links to disease initiation and progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily rely on hematoxylin and eosin and serial immunohistochemistry staining, a cumbersome, tissue-exhaustive process that results in non-aligned tissue images. We propose the VirtualMultiplexer, a generative artificial intelligence toolkit that effectively synthesizes ...

   Journal Article

5. A 24-GHz 4-Element Multi-Beam Wireless Energy Harvesting Array with Class-F Rectifiers Achieving 51.5% PCE 

   Ghorbanpoor, Mohsen; Le Roux, Erwan; Najafabadi, Amir M. Ahmadi; et al. (2024)

   2024 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM, IMS 2024

   This study introduces a 24GHz 4-element concurrent multi-beam energy harvesting array, distinguished by the implementation of a novel three-line-coupler to simultaneously perform matching and harmonic shaping, achieving the best reported rectifier power conversion efficiency (PCE) of 51.5%. A 4-port ultra-compact Butler matrix with transformer-based 90 degrees hybrid couplers is utilized to develop concurrent coherent beamforming. Fabricated ...

   Conference Paper

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