Sajid Mannan

According to our database, Sajid Mannan authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

AI scientists produce results without reasoning scientifically.

Martiño Ríos-García, Nawaf Alampara, Chandan Gupta, Indrajeet Mandal, Sajid Mannan, Ali Asghar Aghajani, N. M. Anoop Krishnan, Kevin Maik Jablonka

CoRR, April, 2026

Sustainable Materials Discovery in the Era of Artificial Intelligence.

Sajid Mannan, Rupert J. Myers, Rohit Batra, Rocío Mercado, Lothar Wondraczek, N. M. Anoop Krishnan

CoRR, January, 2026

2025

Evaluating Universal Machine Learning Force Fields Against Experimental Measurements.

Sajid Mannan, Vaibhav Bihani, Carmelo Gonzales, Kin Long Kelvin Lee, Nitya Nand Gosvami, Sayan Ranu, Santiago Miret, N. M. Anoop Krishnan

CoRR, August, 2025

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials.

Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Sajid Mannan, N. M. Anoop Krishnan

CoRR, February, 2025

2023

EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations.

Vaibhav Bihani, Utkarsh Pratiush, Sajid Mannan, Tao Du, Zhimin Chen, Santiago Miret, Matthieu Micoulaut, Morten M. Smedskjaer, Sayan Ranu, N. M. Anoop Krishnan

CoRR, 2023