Research output per year
Research output per year
Fingerprint
Dive into the research topics where Benedict Leimkuhler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Adaptive Stepsize Algorithms For Langevin Dynamics
Leroy, A., Leimkuhler, B., Latz, J. & Higham, D. J., 6 Aug 2024, (Accepted/In press) In: SIAM Journal on Scientific Computing.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Multirate Training of Neural Networks
Vlaar, T. & Leimkuhler, B., 24 Jul 2024, International Conference on Machine Learning, 2022. ML Research Press, p. 22342-22360 19 p. (Proceedings of Machine Learning Research; vol. 162).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
CONTRACTION AND CONVERGENCE RATES FOR DISCRETIZED KINETIC LANGEVIN DYNAMICS
Leimkuhler, B. J., Paulin, D. & Whalley, P. A., 30 Jun 2024, In: Siam journal on numerical analysis. 62, 3, p. 1226-1258 33 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Numerics with coordinate transforms for efficient Brownian dynamics simulations
Phillips, D., Leimkuhler, B. & Matthews, C., 2 May 2024, (E-pub ahead of print) In: Molecular Physics. e2347546.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Numerical integrators for confined Langevin dynamics
Leimkuhler, B., Sharma, A. & Tretyakov, M. V., 25 Apr 2024, ArXiv.Research output: Working paper › Preprint
File
-
AI Driven Sampling of the Shapes of Biomolecules
UK industry, commerce and public corporations
1/10/21 → 30/09/25
Project: Research
-
-
Exascale Computing for System-Level Engineering: Design, Optimisation and Resilience
1/04/20 → 30/06/21
Project: Research
-
Efficient Machine Learning for Wind Turbine Analytics
UK industry, commerce and public corporations
1/05/18 → 31/12/18
Project: Research
-
Dynamics Biasing Strategies for Free Energy Exploration in Machine Learning
15/09/17 → 15/03/18
Project: Research
Datasets
-
g-BAOAB source files
Matthews, C. (Creator) & Leimkuhler, B. (Depositor), Edinburgh DataShare, 5 Apr 2016
DOI: 10.7488/ds/1365
Dataset