3 citations · 6 across the 3 of their papers we have counts for
3 papers
quant-ph2025★ 3 cited
El Agente Cuantico: Automating quantum simulations
Ignacio Gustin, Luis Mantilla Calderón, Juan B. Pérez-Sánchez +8
Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. Yet it has barriers to access from both computational complexity and comp…
cond-mat.mtrl-sci2025★ 1 cited
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Shuyi Jia, Shitij Govil, Manav Ramprasad +1
In recent years, pre-trained graph neural networks (GNNs) have been developed as general models which can be effectively fine-tuned for various potential downstream tasks in materi…
physics.comp-ph2019★ 2 cited
Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures
Manav Ramprasad, Chiho Kim
The success of the Materials Genome Initiative has led to opportunities for data-driven approaches for materials discovery. The recent development of Polymer Genome (PG), which is…