Another sunset marking the end of a milestone, #PhDViva #PhinisheD after over four years of researching #geogenic #methods for #modeling #radon at #local and #regional scales. I thoroughly enjoyed the viva and would have happily discussed for a couple more hours. #Delighted.

[2301.11689] Luke P.J. Gilligan, Matteo Cobelli, Valentin Taufour et al.: A rule-free workflow for the automated generation of databases from scientific literature arxiv.org/abs/2301.11689 arxiv.org/pdf/2301.11689… #cond_mat_mtrl_sci

New paper out on arXiv.org about using Natural Language tools to create materials databases ... and show that these are useful!! arxiv.org/abs/2301.11689 From Matteo Cobelli and Luke Gillian, with Valentin Taufour from UC Davis cranntcd TCD_physics

How to machine learn the charge density in DFT with slim linear models: arxiv.org/abs/2301.13550 Out of the press in arXiv.org from Bruno Focassio, urvesh patil, Michelangelo Domina and Adalberto Fazzio cranntcd We are now Research Ireland TCD_physics

Great work from Laura Gambini on denosing STEM images. It may be super-useful for speciments where dose damage is an issue!!

Congratulations to colleagues Laura Gambini, @TiarnanCM & Stefano Sanvito on their #MachineLearning article. Physics World also did us this nice explainer: New technique mitigates the effect of Poisson noise physicsworld.com/a/machine-lear… TCD_physics CDT_ACM cranntcd AMBER Trinity AML

[2303.16597] Michael Minotakis, Hugo Rossignol, Matteo Cobelli et al.: Machine-Learning Surrogate Model for Accelerating the Search of Stable Ternary Alloys arxiv.org/abs/2303.16597 arxiv.org/pdf/2303.16597… #cond_mat_mtrl_sci

Another article looking at Laura Gambini's ML model for STEM images!! With @TiarnanCM Dr Lewys Jones (he/him) Work done cranntcd TCD_physics AMBER Machine Learning Helps Electron Microscopy via hackaday hackaday.com/2023/04/03/mac…

Later than expected but I'm relieved to finally submit my #PhD thesis on Applying #Geogenic methods to #model #radon at local/regional scales. Dedicated to my amazing sister Aisling :) Also thanks to my supervisor Quentin Crowley for this opportunity to become an #independent #researcher

Data driven ML for material design. #AMBERConf23

Our method to bypass self-consistency in DFT is out npj Journals Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations rdcu.be/ddgTU urvesh patil Bruno Focassio Michelangelo Domina We are now Research Ireland cranntcd

New updated and much extended version of our Jacobi-Legendre cluster expansion. All the maths is there!! Michelangelo Domina urvesh patil Matteo Cobelli arxiv.org/abs/2208.10292 cranntcd We are now Research Ireland AMBER

Quite a long time in the making but our new "cluster expansion constructed over Jacobi-Legendre polynomials for accurate force fields" is out!! journals.aps.org/prb/abstract/1… From Michelangelo Domina urvesh patil Matteo Cobelli Thanks to We are now Research Ireland QNRF cranntcd AMBER

It is out! In a week, Matteo Cobelli and Luke Gilligan made an AI to read scientific papers. The data extracted are used to construct machine-learning models! nature.com/articles/s4152… We are now Research Ireland @scienceirel cranntcd AMBER TCD_physics Trinity Innovation KnEx Enterprise Ireland

#6 #MOSTREAD in 2023 with 2232 downloads! '#Machinelearning approach for quantified resolvability enhancement of low-dose #STEM data' by Stefano Sanvito @TiarnanCM Dr Lewys Jones (he/him) cranntcd TCD_physics AMBER TCD Ultramicroscopy bit.ly/3lZy5nL #microscopy #materials #imaging #AI #HPC

Here is our new machine-learning workflow to accelerate the construction of phase diagrams (with DFT accuracy!!) pubs.acs.org/doi/10.1021/ac… Great work from Michael Minotakis Matteo Cobelli Hugo Rossignol cranntcd TCD_physics We are now Research Ireland AMBER

Our paper made the cover of JCIM. Well done to Matteo Cobelli Hugo Rossignol Michael Minotakis ... and to our cover artist Eve Gilligan! Journal of Chemical Information and Modeling Vol. 64 No. 6 - ACS Publications pubs.acs.org/toc/jcisd8/64/6 cranntcd AMBER TCD_physics

Machine-Learning-Assisted Construction of Ternary Convex Hull Diagrams pubs.acs.org/doi/10.1021/ac… Hugo Rossignol Michael Minotakis Matteo Cobelli Stefano Sanvito cranntcd #JCIM Vol64 Issue6 #MachineLearning #DeepLearning

New paper out on using AI video-processing tools for 3D tomography in materials science and diagnostic. rdcu.be/dTGpX super interdiscliplinary work with AMBER cranntcd TCD_physics together with Mater Hospital

Can one use LLMs knowledge for making materials science ML models? Maybe ... From Matteo Cobelli Luke Gilligan in collaboration with Taylor Sparks cranntcd AMBER TCD_physics #AI #ML #LLM sciencedirect.com/science/articl…