Institute Homepage
Institute Homepage
DE
Sign In
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Neuromechanics of Movement
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Neuromechanics of Movement
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Back
Micro, Nano, and Molecular Systems
Award
12 June 2013
Andrew Mark, John Gibbs, John Lee, and Peer Fischer win the Ground breaking contribution award for their paper “Growth of chiral nanoparticles” at the International Conference on Chiroptical Spectroscopy in Nashville, TN, USA, 12 June 2013.
This website uses cookies to ensure you get the best experience.
Learn more
.
Accept