A systematic approach for matching simulated and experimental polarization curves for a PEM fuel cell - ScienceDirect
JPM, Free Full-Text
Processes, Free Full-Text
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Frontiers Advances in experimental and computational methodologies for the study of microbial-surface interactions at different omics levels
Matching Simulation Data and Experimental Polarization Curve
Sensors, Free Full-Text
Micro-object pose estimation with sim-to-real transfer learning using small dataset
Modelling peptide–protein complexes: docking, simulations and machine learning, QRB Discovery
Direct generation of protein conformational ensembles via machine learning
John Andrews's research works RMIT University, Melbourne (RMIT
A numerical compass for experiment design in chemical kinetics and molecular property estimation, Journal of Cheminformatics
