Growing strings in a chemical reaction space for searching retrosynthesis pathwaysFederico ZipoliCarlo Baldassariet al.2023ChemRxiv
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Growing Strings in a Chemical Reaction Space for Searching Retrosynthesis PathwaysFederico ZipoliCarlo Baldassariet al.2023MRS Spring Meeting 2023
Enzyme Optimization via a Generative Language Modeling-Based Evolutionary AlgorithmYves Gaetan Nana TeukamFrancesca Grisoniet al.2023MRS Spring Meeting 2023
Growing strings in a chemical reaction space for searching retrosynthesis pathwaysCarlo BaldassariJannis Bornet al.2023ACS Spring 2023
Enzyme optimization via a generative language modeling-based evolutionary algorithmYves Gaetan Nana TeukamFrancesca Grisoniet al.2023ACS Spring 2023
Prediction of Phase Diagrams and Associated Phase Structural PropertiesFederico ZipoliVictor Viterboet al.2022MRS-J 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)Matteo ManicaJoris Cadowet al.2022MRS Fall Meeting 2022
Learning a Reactive Potential for Silica-Water Through Uncertainty AttributionSwagata RoyJohannes Duerholtet al.2022MRS Fall Meeting 2022
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AI for Scientific DiscoveryCreating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Lab that LearnsLeveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
AI for chemistry: IBM and Evonik Industries to boost material designCase studyOliver Schilter, Theophile Gaudin, and Federico Zipoli28 May 20218 minute readAccelerated DiscoveryMaterials Discovery