James Nelson

Trinity College Dublin — Ireland

Materials Science · Physical Sciences

7h-index791citations16works0.02yr avg
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Research Topics

Machine Learning in Materials Science(5), Surface and Thin Film Phenomena(5), Advanced Chemical Physics Studies(4), Semiconductor Quantum Structures and Devices(3), Boron and Carbon Nanomaterials Research(3)

Publications16 total

Data-driven time propagation of quantum systems with neural networks
2022· 3 citedOpen Access
Machine-learning semilocal density functional theory for many-body lattice models at zero and finite temperature
Physical review. B./Physical review. B·2021· 1 citedOpen Access
Machine Learning and High-Throughput Approaches to Magnetism
2020· 4 cited
Machine learning density functional theory for the Hubbard model
Physical review. B./Physical review. B·2019· 48 citedOpen Access
Predicting the Curie temperature of ferromagnets using machine learning
Arrow@dit (Dublin Institute of Technology)·2019· 87 citedOpen Access
Machine Learning and High-Throughput Approaches to Magnetism
2018· 7 cited
Grid-based methods for biochemical ab initio quantum chemical applications
1997Open Access
Electron correlations in the Si atom and Si_2.
APS March Meeting Abstracts·1996
Density Functional Methods and Applications to Materials Problems
MRS Proceedings·1993· 1 cited
Application of the Kohn-Sham formalism to quantum dots with realistic dimensions and constrictions
Superlattices and Microstructures·1992· 3 cited
Electronic properties of Si-doped n-doping-intrinsic-p-doping-intrinsic (nipi) structures in GaAs
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·1990
Semiempirical modified embedded-atom potentials for silicon and germanium
Physical review. B, Condensed matter·1989· 477 cited
Thermal mark characterization on static magneto-optical media
IEEE Transactions on Magnetics·1989· 6 cited
Silicon donor states in heavily doped thin GaAs-AlAs(001) superlattices
Physical review. B, Condensed matter·1988· 16 cited
Origin of the band-edge states in [001] thin superlattices of GaAs/AlAs
Applied Physics Letters·1987· 20 cited
Dimensionality and size effects in simple metals
Physical review. B, Condensed matter·1986· 118 cited

Frequent Co-authors

C. Y. Fong(5), Stefano Sanvito(5), Inder P. Batra(3), Rajarshi Tiwari(2), Mario Žic(2), Thomas Archer(2), Corey Oses(2), Stefano Curtarolo(2), R. F. Gallup(2), M. I. Baskes(1), Alan Wright(1), S. Çiraci(1), G. P. Srivastava(1), Warren E. Pickett(1), Bern Klein(1), Michael Madison(1), T.W. McDaniel(1), Longfei Chang(1), L. Esaki(1), Y. S. Li(1)