Skip to content
Technical University of Munich

Accelerated Scientific Discovery

LRZ SuperMUC. Picture: StMWK / Axel König

Exploration, exploitation and understanding of the vast chemical space for functional materials is virtually impossible by conventional manual experimentation and necessitates the integrated deployment of automated experimental and theoretical methods. We therefore employ high-throughput and combinatorial methods in materials design, synthesis, characterization and device building with close integration with corresponding virtual experiments. Recognizing the need to link virtual and physical experiments, we actively develop methods for inter-lab orchestration and ontology-linked data management.

  • Classical & Quantum Computation
  • AI & Machine Learning

  • X-ray Science & Technology
  • In situ Electron Microscopy and Spectroscopy
  • Advanced Chemical Imaging
  • Novel Mechanistic Probes
  • Modulated and defect structure chemistry
  • Non-periodic structures

  • Data-driven drug discovery and material design

  • Crystal Structure Prediction
  • Functional Property Prediction

  • Automation & High-throughput in Catalysis and Battery Research
  • Intention Agnostic Orchestration
  • Lab Automation and Orchestration

News - Accelerated Scientific Discovery

Clean Technology Solutions, Accelerated Scientific Discovery, AMC, Research, Bioscience, Physics |

Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in Finland and Germany aim to…

Accelerated Scientific Discovery, Conference, AMC, e-conversion, Physics |

The Atomistic Modeling Center (AMC), the Munich Data Science Institute (MDSI) and the Cluster of Excellence e-conversion hosted the Digitizing…

AMC, ORIGINS, Chemistry, Physics |

Nobel Prize winners used principles from physics to develop methods that form the basis for today's powerful machine learning. How are researchers at…

AMC, Research, Physics |

Atomistic modeling of molecules and materials is a booming field and enables new technologies. The impact of atomistic modeling has been accelerated…

To top