Abhijith S Parackal

Forskningsingenjör

Publikationer

2026

Abhijith S. Parackal (2026)

Crystal Symmetry and Machine Learning for Systematic Materials Discovery (Doktorsavhandling, sammanläggning)

https://dx.doi.org/10.3384/9789181184761

2025

Filip Ekström Kelvinius, Oskar Andersson, Abhijith S. Parackal, Dong Qian, Rickard Armiento, Fredrik Lindsten (2025)

WyckoffDiff- A Generative Diffusion Model for Crystal Symmetry Proceedings of the 42nd International Conference on Machine Learning, s. 15130-15147 (Konferensbidrag)

2024

Luis Casillas Trujillo, Abhijith S Parackal, Rickard Armiento, Björn Alling (2024)

Evaluating and improving the predictive accuracy of mixing enthalpies and volumes in disordered alloys from universal pretrained machine learning potentials Physical Review Materials, Vol. 8, Artikel 113803 (Artikel i tidskrift)

https://dx.doi.org/10.1103/PhysRevMaterials.8.113803

Abhijith S Parackal, Rhys E. A. Goodall, Felix A. Faber, Rickard Armiento (2024)

Identifying crystal structures beyond known prototypes from x-ray powder diffraction spectra Physical Review Materials, Vol. 8, Artikel 103801 (Artikel i tidskrift)

https://dx.doi.org/10.1103/PhysRevMaterials.8.103801

Joel Davidsson, William Stenlund, Abhijith S Parackal, Rickard Armiento, Igor Abrikosov (2024)

Na in diamond: high spin defects revealed by the ADAQ high-throughput computational database npj Computational Materials, Vol. 10, Artikel 109 (Artikel i tidskrift)

https://dx.doi.org/10.1038/s41524-024-01292-9

Nyheter

Ny AI-modell ska hitta tidigare okända material

Den kemiska rymden kan kartläggas i större skala än tidigare med hjälp av en ny AI-modell som tagits fram av en grupp forskare vid Linköpings universitet och Cambridge i England. Rönen publiceras i tidskriften Science Advances.