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Place

Location: ICTP
Address: Strada Costiera, 11 I - 34151 Trieste (Italy)
Date: 12 May 09:00 - 17:20

Timetable | Contribution List

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09:00
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11:00
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15:00
16:00
17:00
Chemical Language Models for de Novo Molecule Design
ICTP
Industrial Applications of Generative Machine Learning Methods
ICTP
Exploring Drugs’ Solid State Landscape Using Atomistic Machine Learning
ICTP
Panel Discussion and Coffee
ICTP
Towards Predicting Corrosion Inhibitors’ Performance with Machine Learning
ICTP
Deep Learning for Excited States and Molecular Design
ICTP
Lunch Break & Registrations
ICTP
Data-driven High-throughput Experimentation Using Combinatorial Material Science Methods and Machine Learning
ICTP
Precise Atom Manipulation Through Deep Reinforcement Learning
ICTP
Evaluation of Descriptors for Property Predictions of Glasses by Machine Learning
Coffee Break
ICTP
AI4science at Microsoft Research
ICTP
Alchemical Machine Learning for High Entropy Alloys
ICTP
The Phase Diagram of Iron up to Earth’s Inner Core Conditions
ICTP
Machine Learning Techniques in Heterogeneous Catalysis
ICTP

Organizers

Stefano De Gironcoli (International School for Advanced Studies), Patrick Rinke (Aalto University), Kevin Rossi (Ecole Polytechnique Fédérale de Lausanne), Milica Todorović (Turku University), Claudio Zeni (International School for Advanced Studies), Local Organiser: Sandro Scandolo (ICTP)

Co-sponsors