activity
20142026
most citedAmplitude-phase coupling drives chimera states in globally coupled laser networks

128 citations · 198 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CE2026

TERRA-NG v1.0: Extreme-Scale, GPU-accelerated Mantle Convection

Fabian Böhm, Nils Kohl, Ponsuganth Ilangovan +7

We present TERRA-NG, a portable, GPU-accelerated, matrix-free mantle-convection code. A single Kokkos C++ implementation runs at scale on NVIDIA, AMD, and Intel GPU supercomputers.…

cs.PF2026

Performance Analysis of Low-Order, GPU-accelerated Finite Element Kernels using Kokkos

Fabian Böhm, Nils Kohl, Harald Köstler +1

We study performance portability for low-order, matrix-free finite element kernels, using the example of a vectorial, variable-coefficient PDE operator originating in geophysical m…

cs.ET2026

Continuous-time nonlinear closed-loop in-memory computing for high-accuracy massive MIMO detection

Piergiulio Mannocci, Giacomo Pedretti, Fabian Böhm +2

Analog in-memory computing (IMC) has emerged as a promising approach for accelerating matrix operations by exploiting the intrinsic physics of memory arrays. To date, however, most…

cs.ET2025

Accelerating Hybrid XORCNF Boolean Satisfiability Problems Natively with In-Memory Computing

Haesol Im, Fabian Böhm, Giacomo Pedretti +14

The Boolean satisfiability (SAT) problem is a computationally challenging decision problem central to many industrial applications. For SAT problems in cryptanalysis, circuit desig…

cs.ET2025★ 18 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

cs.ET2024★ 3 cited

Parallel Tempering-Inspired Distributed Binary Optimization with In-Memory Computing

Xiangyi Zhang, Fabian Böhm, Elisabetta Valiante +7

In-memory computing (IMC) has been shown to be a promising approach for solving binary optimization problems while significantly reducing energy and latency. Building on the advant…

cs.CE2024

Code Generation and Performance Engineering for Matrix-Free Finite Element Methods on Hybrid Tetrahedral Grids

Fabian Böhm, Daniel Bauer, Nils Kohl +5

This paper introduces a code generator designed for node-level optimized, extreme-scalable, matrix-free finite element operators on hybrid tetrahedral grids. It optimizes the local…

eess.SY2024

Tuning and Testing an Online Feedback Optimization Controller to Provide Curative Distribution Grid Flexibility

Lukas Ortmann, Fabian Böhm, Florian Klein-Helmkamp +3

Due to more volatile generation, flexibility will become more important in transmission grids. One potential source of this flexibility can be distribution grids. A flexibility req…

cs.CE2023★ 1 cited

Fundamental Data Structures for Matrix-Free Finite Elements on Hybrid Tetrahedral Grids

Nils Kohl, Daniel Bauer, Fabian Böhm +1

This paper presents efficient data structures for the implementation of matrix-free finite element methods on block-structured, hybrid tetrahedral grids. It provides a complete cat…

eess.SY2023★ 7 cited

Providing Curative Distribution Grid Flexibility Using Online Feedback Optimization

Florian Klein-Helmkamp, Fabian Böhm, Lukas Ortmann +5

Distribution grid flexibility is discussed as a possible measure in curative system operation, yielding a need for an efficient and robust coordination mechanism for the joint flex…

physics.app-ph2021★ 2 cited

Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning

Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt +1

Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be imple…

nlin.AO2016★ 39 cited

Small Chimera States without Multistability in a Globally Delay-Coupled Network of Four Lasers

André Röhm, Fabian Böhm, Kathy Lüdge

We present results obtained for a network of four delay-coupled lasers modelled by Lang-Kobayashi-type equations. We find small chimera states consisting of a pair of synchronized…

nlin.CD2014★ 128 cited

Amplitude-phase coupling drives chimera states in globally coupled laser networks

Fabian Böhm, Anna Zakharova, Eckehard Schöll +1

For a globally coupled network of semiconductor lasers with delayed optical feedback, we demonstrate the existence of chimera states. The domains of coherence and incoherence that…