Barcelona, Spain
July 02-04, 2024

- SPEAKERS -

PLENARY
 
Kostya Novoselov
NUS
Singapore
 
KEYNOTE
 
Amanda Barnard
Australian National University
Australia
Sergei V. Kalinin
UT Knoxville and Pacific Northwest National Laboratory
USA
Marin Soljacic
MIT
USA
Anatole von Lilienfeld
University of Toronto
Canada
 
INVITED
 
Maite Alducin Ochoa
CFM
Spain
Jordi Arbiol
ICREA / ICN2
Spain
Silvana Botti
Ruhr-Universität Bochum
Germany
Juan Carrasquilla Alvarez
ETH Zurich
Switzerland
Bingqing Cheng
Institute of Science and Technology Austria (IST Austria)
Austria
Kamal Choudhary
NIST
USA
 
Giulia Cisotto
University of Milan-Bicocca
Italy
Gabor Csanyi
University of Cambridge
UK
Gianaurelio Cuniberti
TU Dresden
Germany
Andrea Ferrari
Cambridge Graphene Centre / University of Cambridge
UK
Kedar Hippalgaonkar
Nanyang Technological University (NTU)
Singapore
Boris Kozinsky
Harvard University
USA
 
Nicola Marzari
EPFL
Switzerland
Wolfgang Wenzel
Karlsruhe Institute of Technology
Germany
 
PLENARY
Kostya Novoselov (NUS, Singapore)  
Innovative material design
KEYNOTE
Amanda Barnard (Australian National University, Australia)  
Explainable Materials Informatics
Sergei V. Kalinin (UT Knoxville and Pacific Northwest National Laboratory, USA)  
Machine Learning for autonomous microscopy: from physics discovery to atomic fabrication
Marin Soljacic (MIT, USA)  
Some intersections of photonics and AI
Anatole von Lilienfeld (University of Toronto, Canada)  
Physics based machine learning for materials and compound space
INVITED
Maite Alducin Ochoa (CFM, Spain)  
Accessing photoinduced reaction dynamics on surfaces with neural networks
Jordi Arbiol (ICREA / ICN2, Spain)  
To be defined
Silvana Botti (Ruhr-Universität Bochum, Germany)  
Machine-Learning-Assisted Design of Materials for Energy
Juan Carrasquilla Alvarez (ETH Zurich, Switzerland)  
Language models for the simulation of quantum many-body systems
Bingqing Cheng (Institute of Science and Technology Austria (IST Austria), Austria)  
Ab initio thermodynamics
Kamal Choudhary (NIST, USA)  
JARVIS-Leaderboard: Large Scale Benchmark of Materials Design Methods
Giulia Cisotto (University of Milan-Bicocca, Italy)
Variational autoencoders-enabled high-fidelity reconstruction and effective anomaly detection in EEG data
Gabor Csanyi (University of Cambridge, UK)  
A foundation model for materials chemistry
Gianaurelio Cuniberti (TU Dresden, Germany)
Machine Learning for Molecular Sensing
Kedar Hippalgaonkar (Nanyang Technological University (NTU), Singapore)  
Generative Property-Directed Design of Inorganic Materials
Boris Kozinsky (Harvard University, USA)  
Multiscale machine learning: from quantum chemistry to dislocation dynamics
Nicola Marzari (EPFL, Switzerland)  
Machine learning electrochemistry
Wolfgang Wenzel (Karlsruhe Institute of Technology, Germany)  
Digitalization of Materials in the Information Age
Sitemap  
© 2024 Phantoms Foundation