Alexei Lapkin
Cited by
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The effect of hydrothermal conditions on the mesoporous structure of TiO 2 nanotubes
DV Bavykin, VN Parmon, AA Lapkin, FC Walsh
Journal of Materials Chemistry 14 (22), 3370-3377, 2004
Heat transfer and flow behaviour of aqueous suspensions of titanate nanotubes (nanofluids)
H Chen, W Yang, Y He, Y Ding, L Zhang, C Tan, AA Lapkin, DV Bavykin
Powder technology 183 (1), 63-72, 2008
Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
AM Schweidtmann, AD Clayton, N Holmes, E Bradford, RA Bourne, ...
Chemical Engineering Journal 352, 277-282, 2018
Reversible Storage of Molecular Hydrogen by Sorption into Multilayered TiO2 Nanotubes
DV Bavykin, AA Lapkin, PK Plucinski, JM Friedrich, FC Walsh
The Journal of Physical Chemistry B 109 (41), 19422-19427, 2005
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
E Bradford, AM Schweidtmann, A Lapkin
Journal of global optimization 71 (2), 407-438, 2018
Comparative assessment of technologies for extraction of artemisinin
AA Lapkin, PK Plucinski, M Cutler
Journal of natural products 69 (11), 1653-1664, 2006
Green chemistry metrics: measuring and monitoring sustainable processes
A Lapkin, D Constable
Wiley, 2008
Stability of aqueous suspensions of titanate nanotubes
DV Bavykin, JM Friedrich, AA Lapkin, FC Walsh
Chemistry of materials 18 (5), 1124-1129, 2006
Forced convective heat transfer of nanofluids
Y Ding, H Chen, Y He, A Lapkin, M Yeganeh, L Šiller, YV Butenko
Advanced Powder Technology 18 (6), 813-824, 2007
Rheological behaviour of ethylene glycol-titanate nanotube nanofluids
H Chen, Y Ding, A Lapkin, X Fan
Journal of nanoparticle research 11, 1513-1520, 2009
Chemical storage of renewable energy
JW Ager, AA Lapkin
Science 360 (6390), 707-708, 2018
A review of molecular representation in the age of machine learning
DS Wigh, JM Goodman, AA Lapkin
Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (5), e1603, 2022
Apparent Two-Dimensional Behavior of TiO2 Nanotubes Revealed by Light Absorption and Luminescence
DV Bavykin, SN Gordeev, AV Moskalenko, AA Lapkin, FC Walsh
The Journal of physical chemistry B 109 (18), 8565-8569, 2005
Rheological behaviour of nanofluids containing tube/rod-like nanoparticles
H Chen, Y Ding, A Lapkin
Powder Technology 194 (1-2), 132-141, 2009
Deposition of Pt, Pd, Ru and Au on the surfaces of titanate nanotubes
DV Bavykin, AA Lapkin, PK Plucinski, L Torrente-Murciano, JM Friedrich, ...
Topics in Catalysis 39, 151-160, 2006
TiO2 nanotube-supported ruthenium (III) hydrated oxide: A highly active catalyst for selective oxidation of alcohols by oxygen
DV Bavykin, AA Lapkin, PK Plucinski, JM Friedrich, FC Walsh
Journal of Catalysis 235 (1), 10-17, 2005
Automatic discovery and optimization of chemical processes
C Houben, AA Lapkin
Current opinion in chemical engineering 9, 1-7, 2015
Automated self-optimisation of multi-step reaction and separation processes using machine learning
AD Clayton, AM Schweidtmann, G Clemens, JA Manson, CJ Taylor, ...
Chemical Engineering Journal 384, 123340, 2020
A brief introduction to chemical reaction optimization
CJ Taylor, A Pomberger, KC Felton, R Grainger, M Barecka, ...
Chemical Reviews 123 (6), 3089-3126, 2023
A novel cation-binding TiO2 nanotube substrate for electro-and bioelectro-catalysis
DV Bavykin, EV Milsom, F Marken, DH Kim, DH Marsh, DJ Riley, ...
Electrochemistry Communications 7 (10), 1050-1058, 2005
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