Richard R. Ernst Prize Awarded to Professors Kuprov, Nielsen, Stoll and Vosegaard at EUROMAR 2026
Gothenburg, Sweden – June 29, 2026 – The 2026 Richard R. Ernst Prize in Magnetic Resonance has been awarded to Professor Ilya Kuprov (Weizmann Institute of Science), Professor Niels Chr. Nielsen (Aarhus University), Professor Stefan Stoll (University of Washington), and Professor Thomas Vosegaard (Aarhus University). The prize was presented at the EUROMAR 2026 conference in Gothenburg, honoring their significant contributions to advancing the physical and numerical toolboxes that have revolutionized the simulation and evaluation of Magnetic Resonance data. Named after Nobel Laureate Richard R. Ernst, the annual prize recognizes outstanding achievements that expand the capabilities and impact of Magnetic Resonance.
Professor Ilya Kuprov, Weizmann Institute of Science, has advanced theoretical and computational Magnetic Resonance, including scalable simulation methods for spin dynamics. His work enables accurate modeling of complex magnetic systems and is reflected in widely used tools such as the Spinach software for Magnetic Resonance simulation.
Professor Niels Chr. Nielsen, Aarhus University, has driven innovation in solid-state Magnetic Resonance spectroscopy, particularly through developments in dipolar recoupling, effective Hamiltonian theory, optimal control, and the widely used simulation framework SIMPSON. His contributions have strengthened the design and interpretation of Magnetic Resonance experiments across a broad range of applications.
Professor Stefan Stoll, University of Washington, has contributed to electron paramagnetic resonance (EPR) through widely adopted computational tools and data analysis methods. His EasySpin software has become a standard resource in Magnetic Resonance laboratories, enabling detailed spectral simulation and supporting advances in structural and mechanistic studies.
Professor Thomas Vosegaard, Aarhus University, has advanced solid-state magnetic resonance through the development of simulation-driven methodologies and data-analysis tools, including key contributions to SIMPSON. His work enables detailed insights into the structure and dynamics of complex biological and materials systems, particularly membrane proteins and protein–lipid interactions.
The 2026 award reflects the continued evolution of Magnetic Resonance driven by innovation in theory, computation, and experimental methodology. The Richard R. Ernst Prize is awarded by a committee composed of the past, current, and future chairs of the EUROMAR Program Committee, together with previous prize recipients, ensuring a rigorous and community-driven selection process. By recognizing these four scientists, the prize highlights the collaborative and interdisciplinary nature of Magnetic Resonance and its growing impact across scientific disciplines.
About Bruker Corporation – Leader of the Post-Genomic Era (Nasdaq: BRKR)
Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker’s high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy, as well as in industrial and cleantech research, and semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, proteomics and multiomics, spatial and single-cell biology, structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. For more information, please visit www.bruker.com.
Media Contact
Markus Ziegler
Sr. Director and Head of Group Marketing, Bruker BioSpin
T: +49 172 3733531
E: pr@bruker.com