Chris J. Benmore

According to our database, Chris J. Benmore authored at least 4 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass.

Sai Harshit Balantrapu, Atul C. Thakur, Chris J. Benmore, Ganesh Sivaraman

CoRR, April, 2026

2024

Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO.

Ganesh Sivaraman, Chris J. Benmore

CoRR, 2024

2020

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide.

Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gábor Csányi, Álvaro Vázquez-Mayagoitia, Chris J. Benmore

CoRR, 2020

2019

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide.

Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris J. Benmore, Álvaro Vázquez-Mayagoitia

CoRR, 2019