Alexei A. Lapkin

According to our database, Alexei A. Lapkin authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ORDerly: Data Sets and Benchmarks for Chemical Reaction Data.

Daniel S. Wigh, Joe Arrowsmith, Alexander Pomberger, Kobi C. Felton, Alexei A. Lapkin

J. Chem. Inf. Model., 2024

2023

Heuristic optimisation of multi-task dynamic architecture neural network (DAN2).

Sushen Zhang, Vassilios S. Vassiliadis, Zhimian Hao, Liwei Cao, Alexei A. Lapkin

Neural Comput. Appl., February, 2023

Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction.

Jan G. Rittig, Kobi C. Felton, Alexei A. Lapkin, Alexander Mitsos

CoRR, 2023

Boosting autonomous process design and intensification with formalized domain knowledge.

Jan Raphael Seidenberg, Ahmad A. Khan, Alexei A. Lapkin

Comput. Chem. Eng., 2023

Computer-aided design of formulated products: A bridge design of experiments for ingredient selection.

Liwei Cao, Danilo Russo, Emily Matthews, Alexei A. Lapkin, David Woods

Comput. Chem. Eng., 2023

2020

Searching for optimal process routes: A reinforcement learning approach.

Ahmad Khan, Alexei A. Lapkin

Comput. Chem. Eng., 2020

2019

Noisy, sparse, nonlinear: Navigating the Bermuda Triangle of physical inference with deep filtering.

Carl Poelking, Yehia Amar, Alexei A. Lapkin, Lucy J. Colwell

CoRR, 2019

2018

Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm.

Eric Bradford, Artur M. Schweidtmann, Alexei A. Lapkin

J. Glob. Optim., 2018

Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm.

Eric Bradford, Artur M. Schweidtmann, Alexei A. Lapkin

J. Glob. Optim., 2018

2017

A possible extension to the RInChI as a means of providing machine readable process data.

Philipp-Maximilian Jacob, Tian Lan, Jonathan M. Goodman, Alexei A. Lapkin

J. Cheminformatics, 2017