E. Müller
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Exploring large language models in enterprise modeling Open
Modeling is a crucial aspect of the development process in various engineering disciplines. The application of modeling in these fields typically encompasses various phases, including target setting, requirement elicitation, architecture s…
Sustainable operation of research infrastructure for novel computing Open
Novel compute systems are an emerging research topic, aiming towards building next-generation compute platforms. For these systems to thrive, they need to be provided as research infrastructure to allow acceptance and usage by a large comm…
View article: Constructive community race: full-density spiking neural network model drives neuromorphic computing
Constructive community race: full-density spiking neural network model drives neuromorphic computing Open
The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a model was proposed representing all neurons and synapses of t…
Scalable network emulation on analog neuromorphic hardware Open
We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well suited for deep spiking neural networks an…
Multi-timescale synaptic plasticity on analog neuromorphic hardware Open
As numerical simulations grow in complexity, their demands on computing time and energy increase. Hardware accelerators offer significant efficiency gains in many computationally intensive scientific fields, but their use in computational …
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware Open
Traditional neuromorphic hardware architectures rely on event-driven computation, where the asynchronous transmission of events, such as spikes, triggers local computations within synapses and neurons. While machine learning frameworks are…
Infrared detectors for first generation extremely large telescope instruments and their characterization program Open
The detectors for the three first generation extremely large telescope (ELT) instruments MICADO (Multi‐AO Imaging Camera for Deep Observations), HARMONI (A High Angular Resolution Monolithic Optical and Near‐infrared Integral Field Spectro…
Students using programming for pure and applied mathematics investigations Open
In this paper, we recount our research on undergraduate mathematics students learning to use programming for mathematics investigation projects. More precisely, we focus on how a particular theoretical perspective (the Instrumental Approac…
View article: From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System
From Clean Room to Machine Room: Commissioning of the First-Generation BrainScaleS Wafer-Scale Neuromorphic System Open
The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic system for emulating large-scale networks of spiking neurons. Following a "physical modeling" principle, its VLSI circuits are designed to emulate th…
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication Open
Neuromorphic computing implementing spiking neural networks (SNN) is a promising technology for reducing the footprint of optical transceivers, as required by the fast-paced growth of data center traffic. In this work, an SNN nonlinear dem…
Event-based Backpropagation for Analog Neuromorphic Hardware Open
Neuromorphic computing aims to incorporate lessons from studying biological nervous systems in the design of computer architectures. While existing approaches have successfully implemented aspects of those computational principles, such as…
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2 Open
Neuromorphic systems require user-friendly software to support the design and optimization of experiments. In this work, we address this need by presenting our development of a machine learning-based modeling framework for the BrainScaleS-…
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware Open
A unique feature of neuromorphic computing is that memory is an implicit part of processing through traces of past information in the system's collective dynamics. The extent of memory about past inputs is commonly quantified by the autoco…
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication Open
A spiking neural network (SNN) non-linear equalizer model is implemented on the mixed-signal neuromorphic hardware system BrainScaleS-2 and evaluated for an IM/DD link. The BER 2e-3 is achieved with a hardware penalty less than 1 dB, outpe…
Spiking Neural Network Equalization for IM/DD Optical Communication Open
A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificial neural network, outperforming linear equalization.
Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL Open
The BrainScaleS-2 (BSS-2) Neuromorphic Computing System currently consists of\nmultiple single-chip setups, which are connected to a compute cluster via\nGigabit-Ethernet network technology. This is convenient for small experiments,\nwhere…
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware Open
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the Br…
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity Open
Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired computing today encompasses a class of approaches ranging …
Front Cover: A Combined Experimental–Theoretical Study on Diels‐Alder Reaction with Bio‐Based Furfural: Towards Renewable Aromatics (ChemSusChem 1/2021) Open
The Front Cover shows how combining theoretical and experimental investigations allows predicting the feasibility and the selectivity of Diels–Alder reactions involving furfural as a bio-based diene, opening a straightforward route to rene…
A Combined Experimental–Theoretical Study on Diels‐Alder Reaction with Bio‐Based Furfural: Towards Renewable Aromatics Open
The synthesis of relevant renewable aromatics from bio‐based furfural derivatives and cheap alkenes is carried out by using a Diels‐Alder/aromatization sequence. The prediction and the control of the ortho / meta selectivity in the Diels‐A…
Programming as an artefact: what do we learn about university students' activity? Open
International audience
Infrared Wavefront Sensing for Adaptive Optics Assisted Galactic Center Observations with the VLT Interferometer and GRAVITY: Operation and Results Open
This article describes the operation of the near-infrared wavefront sensing based Adaptive Optics (AO) system CIAO. The Coudé Infrared Adaptive Optics (CIAO) system is a central auxiliary component of the Very Large Telescope (VLT) interfe…
Cover Feature: Direct Catalytic Conversion of Furfural to Furan‐derived Amines in the Presence of Ru‐based Catalyst (ChemSusChem 7/2020) Open
The Cover Feature shows a simple and efficient preparation of furan-derived amines in a one-reactor tandem concept using bio-derived ketones, NH3 as a nitrogen source, molecular H2 as a reducing agent, and commercially available Ru/C as ca…
Direct Catalytic Conversion of Furfural to Furan‐derived Amines in the Presence of Ru‐based Catalyst Open
The production of amine intermediates from biomass is capturing increasing attention. Herein, a simple and efficient preparation of l furan‐derived amines was developed [e.g., 1‐(furan‐2‐yl)‐4‐methylpentan‐2‐amine] with high yield (up to 9…
Conversion of furfural to tetrahydrofuran-derived secondary amines under mild conditions Open
Catalytic conversion of furfural to secondary tetrafurfurylamine under mild conditions of temperature and hydrogen pressure.
Selective Synthesis of THF-Derived Amines from Biomass-Derived Carbonyl Compounds Open
Selective transformation of biomass or biomass-based feedstocks into value-added amines is highly desirable and constitutes one of the most important challenges in catalysis. As of today, only few amination studies have been reported on bi…