Pd Dr Dmitry Chigrin
Scientific Advisor - Nanophotonics & Multiphysics Modeling @AMO GmbH
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WORK HISTORY
Scientific Advisor - Nanophotonics & Multiphysics Modeling @AMO GmbH
Role: Scientific advisor on multidisciplinary R&D projects in nanophotonics and neuromorphic hardware, including coordination within the ENERGIZE project (Korean–EU partnership on energy-efficient neuromorphic systems).Focus areas: Neuromorphic electronic, optoelectronic, and photonic components.Methods: Multiphysics and phase-field modeling; atomistic and continuum simulations; data-driven and deep-learning-assisted modeling.
EDUCATION
Belarusian State University
Diploma (with Honor), Theoretical Physics
Friedrich Schiller University Jena
Dr.-Ing. habil. (habilitation), Theoretical Physics
RWTH Aachen University
Dr.-Ing. habil. (re-habilitation), Theoretical Physics
Bergische Universität Wuppertal
Dr.-Ing. (PhD), Electrical and Electronics Engineering
ABOUT PD DR DMITRY CHIGRIN
I am a physicist and engineer working on theoretical and computational photonics and nanophotonics, with a focus on situations where simplified models break down. I lead the Theory of Intelligent Materials Group at RWTH Aachen University and serve as Scientific Advisor at AMO GmbH.My research sits at the interface of photonics, materials science, and computation. I investigate how multiscale and multiphysics interactions shape the behavior of complex material systems, with a focus on materials whose properties evolve dynamically in response to their environment.I work with a range of materials, including phase-change materials, hydrogels, and polaritonic media, and explore applications in adaptive photonics, metamaterials, neuromorphic computing, and related areas. By combining theoretical modeling, high-performance computing, and machine learning, I connect fundamental understanding with experimentally relevant system behavior.In addition to academic research, I advise and consult on challenges involving nanophotonics, adaptive materials, and multiscale and multiphysics modelling, particularly where complex coupling, scale separation, or non-intuitive behaviour limits design progress.I am open to collaborations and conversations at the intersection of research, applied development, and strategic technology questions. I am most useful when models no longer match experimental reality and it is unclear why.
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