Olivetti, Elsa

9 publications

ICML 2025 Counting Atoms Faster: Policy-Based Nuclear Magnetic Resonance Pulse Sequencing for Atomic Abundance Measurement Rohan Shenoy, Evan Austen Coleman, Hans Gaensbauer, Elsa Olivetti

ICLRW 2025 Retro-Rank-in: A Ranking-Based Approach for Inorganic Materials Synthesis Planning Thorben Prein, Elton Pan, Sami Haddouti, Marco Lorenz, Janik Jehkul, Tymoteusz Wilk, Cansu Moran, Menelaos Panagiotis Fotiadis, Artur P. Toshev, Elsa Olivetti, Jennifer L.M. Rupp

NeurIPSW 2024 A Chemically-Guided Generative Diffusion Model for Materials Synthesis Planning Elton Pan, Soonhyoung Kwon, Sulin Liu, Mingrou Xie, Yifei Duan, Thorben Prein, Killian Sheriff, Yuriy Roman, Manuel Moliner, Rafael Gomez-Bombarelli, Elsa Olivetti

NeurIPSW 2024 Reaction Graph Networks for Inorganic Synthesis Condition Prediction of Solid State Materials Thorben Prein, Fuzhan Rahmanian, Kesava Prasad Arul, Jasmin El-Wafi, Menelaos Panagiotis Fotiadis, Jan Heimann, Paul Weinmann, Yifei Duan, Elton Pan, Elsa Olivetti, Jennifer L.M. Rupp

NeurIPSW 2023 Extracting a Database of Challenges and Mitigation Strategies for Sodium-Ion Battery Development Mrigi Munjal, Thorben Prein, Vineeth Venugopal, Kevin J Huang, Elsa Olivetti

NeurIPSW 2023 MTENCODER: A Multi-Task Pretrained Transformer Encoder for Materials Representation Learning Thorben Prein, Elton Pan, Tom Doerr, Elsa Olivetti, Jennifer L.M. Rupp

NeurIPSW 2023 MatKG-2: Unveiling Precise Material Science Ontology Through Autonomous Committees of LLMs Vineeth Venugopal, Elsa Olivetti

NeurIPSW 2022 Deep Reinforcement Learning for Inverse Inorganic Materials Design Elton Pan, Christopher Karpovich, Elsa Olivetti

NeurIPSW 2022 The Largest Knowledge Graph in Materials Science - Entities, Relations, and Link Prediction Through Graph Representation Learning Vineeth Venugopal, Sumit Pai, Elsa Olivetti