Goncalo dos Reis

University of Edinburgh

United Kingdom

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Articles (19)

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2025

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2020

Collaborators (5)

Ferran Brosa Planella

Associate Professor

University of Warwick

UNITED KINGDOM

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Yue Wu

Lecturer B

University Of Strathclyde

UNITED KINGDOM

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Mingzhe Yu

UNITED KINGDOM

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David Howey

University of Oxford

UNITED KINGDOM

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James Foster

University of Bath

UNITED KINGDOM

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Goncalo dos Reis

Research Interests

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Articles (19)

Path signature-based life prognostics of Li-ion battery using pulse test data

Robust survival model for the prediction of Li-ion battery lifetime reliability and risk functions

High Order Splitting Methods for SDEs Satisfying a Commutativity Condition

AN EXPLICIT MILSTEIN-TYPE SCHEME FOR INTERACTING PARTICLESYSTEMS AND MCKEAN-VLASOV SDES WITH COMMON NOISE ANDNON-DIFFERENTIABLE DRIFT COEFFICIENTS

High Order Splitting Methods for SDEs Satisfying a Commutativity Condition

Capacity and Internal Resistance of lithium-ion batteries: Full degradation curve prediction from Voltage response at constant Current at discharge

Reduced-order hybrid modelling for powder compaction: Predicting density and classifying diametrical hardness

Early prediction of Lithium-ion cell degradation trajectories using signatures of voltage curves up to 4-minute sub-sampling rates

Importance sampling for McKean-Vlasov SDEs

Online Lifetime Prediction for Lithium-Ion Batteries with Cycle-by-Cycle Updates, Variance Reduction, and Model Ensembling

Regression-type analysis for multivariate extreme values

A flexible split‐step scheme for solving McKean‐Vlasov stochastic differential equations

Automatic method for the estimation of li-ion degradation test sample sizes required to understand cell-to-cell variability

Review—“Knees” in Lithium-Ion Battery Aging Trajectories

An Introduction to Machine Learning in Quantitative Finance

Lithium-ion battery data and where to find it

Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data

Elbows of Internal Resistance Rise Curves in Li-Ion Cells

Identification and machine learning prediction of knee-point and knee-onset in capacity degradation curves of lithium-ion cells

Collaborators (5)

Ferran Brosa Planella

Yue Wu

Mingzhe Yu

David Howey

James Foster

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