Skip to main content
Main navigation
About
About
Community.nano
The power of nano
Areas of impact
Computing & communications
Energy
Health & health care
Manufacturing
Prototyping
Sustainable futures
Toolmaking
Facilities and infrastructure
Career opportunities
Design and sustainability honors
Become a user
Research & Capabilities
Research & Capabilities
Fab.nano
Characterization.nano
Immersion Lab
Lincoln Lab Microelectronics Laboratory
Annual Research Reports
Equipment Support Plans (ESPs)
Propose a Tool/Instrument/Space
News & Updates
News
Facility Updates
Nano Day
Opportunities
Programs
START.nano
STUDIO.nano
Tecnológico de Monterrey
Lab for Education & Application Prototypes (LEAP)
Events & Seminars
The Nano Summit
Seminar Series
The Mildred S. Dresselhaus Lecture Series
Microsystems Annual Research Conference (MARC)
IMMERSED
Nano Explorations
NSL Community Meetings
Tool Talks
All Events
MIT.nano Consortium
MIT.nano Consortium
Current Members
Member Benefits
Benefits to MIT
Join the Consortium
Member Login
Contact & People
MIT.nano staff
Advisory groups
Scholars council
Contact us
Request a tour
Join our mailing list
Consortium Portal
Member Login
Menu
MIT.nano
Menu
Become a user
Breadcrumb
Home
News & Updates
AI system learns from many types of scientific information and runs experiments to discover new materials
AI system learns from many types of scientific information and runs experiments to discover new materials
