Ghent University Academic Bibliography

Your filters: cql: author exact F502D5DE-F0ED-11E1-A9DE-61C894A0A6B4 or (type any "bookEditor issueEditor" and edito... cql: subject exact "Physics and Astronomy"

Add to list
Explicit electrons in machine learning potentials

Maarten Cools-Ceuppens (UGent) , Joni Dambre (UGent) and Toon Verstraelen (UGent)

(2025) ML4SPEC25, Abstracts.
Add to list
- Journal Article
- A2
- open access
A photonics perspective on computing with physical substrates

S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, Sarah Masaad (UGent) , L. Nguyen, E. Picco, G. Pourcel, A. Skalli, et al.

(2024) REVIEWS IN PHYSICS. 12.
Add to list
- Conference Paper
- C3
- open access
Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination

Tanguy Cazalets (UGent) and Joni Dambre (UGent)

(2023) Bernstein Conference 2023, Abstracts.
Add to list
- Conference Paper
- C1
- open access
New insights on homeostatic activity-dependent structural plasticity in rate based neural networks

Tanguy Cazalets (UGent) and Joni Dambre (UGent)

(2023) 2023 International Conference on Neuromorphic, Natural and Physical Computing, Proceedings.
Add to list
- Conference Paper
- C3
Physical constraints on polarization and charge transport in machine-learning potentials

Maarten Cools-Ceuppens (UGent) , Joni Dambre (UGent) and Toon Verstraelen (UGent)

(2023) Designing the future : electro-, photo- and thermo-chemical water splitting, Abstracts.
Add to list
- Conference Paper
- C3
Physically sound long-range interactions in machine-learning potentials

Maarten Cools-Ceuppens (UGent) , Joni Dambre (UGent) and Toon Verstraelen (UGent)

(2022) Twelfth triennial congress of the World Association of Theoretical and Computational Chemists, WATOC 2020.
Add to list
- Conference Paper
- C3
A physically sound basis for polarization in machine-learning force fields

Maarten Cools-Ceuppens (UGent) , Joni Dambre (UGent) and Toon Verstraelen (UGent)

(2022) Theory, and Computation of Energy Materials, Institute seminar at the Forschungszentrum Jülich's IEK-13, Abstracts.
Add to list
- Conference Paper
- C3
The eMLP : a novel machine learning potential to model electronic properties with explicit-electrons

Maarten Cools-Ceuppens (UGent) , Joni Dambre (UGent) and Toon Verstraelen (UGent)

(2021) AutoCheMo International Reactive Force Field Workshop, Abstracts.
Add to list
- Journal Article
- A1
- open access
Photonic neuromorphic information processing and reservoir computing

Alessio Lugnan (UGent) , Andrew Katumba (UGent) , Floris Laporte, Matthias Freiberger (UGent) , Stijn Sackesyn, C. Ma, Emmanuel Gooskens, Joni Dambre (UGent) and Peter Bienstman (UGent)

(2020) APL PHOTONICS. 5(2).
Add to list
Silicon photonics reservoir computing at 32 Gbit/s

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte, Alessio Lugnan (UGent) , Stijn Sackesyn, Chonghuai Ma (UGent) and Emmanuel Gooskens

(2019) 2019 Workshop on Dynamical Systems and Brain-Inspired Information Processing, Abstracts.

Academic Bibliography

Explicit electrons in machine learning potentials

A photonics perspective on computing with physical substrates

Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination

New insights on homeostatic activity-dependent structural plasticity in rate based neural networks

Physical constraints on polarization and charge transport in machine-learning potentials

Physically sound long-range interactions in machine-learning potentials

A physically sound basis for polarization in machine-learning force fields

The eMLP : a novel machine learning potential to model electronic properties with explicit-electrons

Photonic neuromorphic information processing and reservoir computing

Silicon photonics reservoir computing at 32 Gbit/s

Contents

Support

Contact