Anatoly Frenkel: Decoding Reactive Structures in Catalysts by Machine Learning Analysis of Spectra
Mie Andersen: Data-efficient & physics-inspired machine-learning models for catalysis modelling
Machine Learning Techniques in Heterogeneous Catalysis
Poster: Identifying Physical Descriptors for Metal-Support Interaction in Catalysis with Stat...
2020-03-06 - Zachar Ulissi - Intersections of AI/ML and Chemistry in Catalyst Design and Discovery
32 MDL - Heather Kulik : Materials discovery in challenging spaces with machine learning
Machine Learning in Catalytic Engineering
Open Catalyst Project Tutorial: An Introduction to Machine Learning for Material Discovery
Continued Progress Towards Generalizable Machine Learning Models in Computational Catalysis
38. Prof. Sergei Kalinin - Machine Learning for Automated Experiments
AI3SD Winter Seminar Series #7: Materials Machine Learning (MML): Talk 1 - Dr Reinhard Maurer
Accelerating open shell transition metal catalyst discovery with machine learning
MOF2022 - Engineering MOF functionality using high-throughput data and ... - Laura Gagliardi
Moving beyond spreadsheets: Rational design of materials using advanced informatics & ML
DDPS | Reduced Order Modeling and Inverse Design of Flexible Structures by Machine Learning
Machine Learning Interatomic Potential Development with MAML
A STRATEGIC DESIGN ENGINEERING FOR THE FABRICATION OF BIO BASED INDUSTRIAL PRODUCTS FOR A SUSTAINABL
IndTech2020: DECHEMA Symposium: Catalysis for fossil-free fuels and chemicals in Europe (Part 2)
2023 VWSCC: Session 05 — Energy Decomposition Analysis
ナノマテリアルとは何か🔥|UPSCインタビュー..#shorts
