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Improved stability of Y2O3 supported Ni catalysts for CO2 methanation by precursor-determined metal-support interaction

Applied catalysis. B, Environmental, 2018-12, Vol.237, p.504-512

2018

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Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives

Chemical engineering journal (Lausanne, Switzerland : 1996), 2018-11, Vol.352, p.277-282

2018

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Hydrodynamic assembly of two-dimensional layered double hydroxide nanostructures

Nature communications, 2018-11, Vol.9 (1), p.4913-12, Article 4913

2018

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Automatic discovery and optimization of chemical processes

Current opinion in chemical engineering, 2015-08, Vol.9, p.1-7

2015

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On the role of C4 and C5 products in electrochemical CO2 reduction via copper-based catalysts

Energy & environmental science, 2023-01, Vol.16 (4), p.1697-1710

2023

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A dynamic knowledge graph approach to distributed self-driving laboratories

Nature communications, 2024-01, Vol.15 (1), p.462-462, Article 462

2024

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Continuous-Flow Synthesis and Derivatization of Aziridines through Palladium-Catalyzed C(sp3)−H Activation

Angewandte Chemie (International ed.), 2016-07, Vol.55 (31), p.8878-8883

International ed. in English, 2016

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From Platform to Knowledge Graph: Evolution of Laboratory Automation

JACS Au, 2022-02, Vol.2 (2), p.292-309

2022

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Carbon neutral manufacturing via on-site CO2 recycling

iScience, 2021-06, Vol.24 (6), p.102514-102514, Article 102514

2021

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Associative STDP-like learning of neuromorphic circuits based on polyaniline memristive microdevices

Journal of physics. D, Applied physics, 2020-10, Vol.53 (41), p.414001

2020

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Anti-plasmodial polyvalent interactions in Artemisia annua L. aqueous extract--possible synergistic and resistance mechanisms

PloS one, 2013-11, Vol.8 (11), p.e80790

2013

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Closed-Loop Multitarget Optimization for Discovery of New Emulsion Polymerization Recipes

Organic process research & development, 2015-08, Vol.19 (8), p.1049-1053

2015

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The effect of chemical representation on active machine learning towards closed-loop optimization

Reaction chemistry & engineering, 2022-05, Vol.7 (6), p.1368-1379

2022

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Automation of route identification and optimisation based on data-mining and chemical intuition

Faraday discussions, 2017-09, Vol.22, p.483-496

2017

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Completing and Balancing Database Excerpted Chemical Reactions with a Hybrid Mechanistic-Machine Learning Approach

ACS omega, 2024-04, Vol.9 (16), p.18385-18399

2024

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Chemical storage of renewable energy

Science (American Association for the Advancement of Science), 2018-05, Vol.360 (6390), p.707-708

2018

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Reaction Impurity Prediction using a Data Mining Approach

Chemistry methods, 2023-06, Vol.3 (6), p.n/a

2023

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Towards automation of chemical process route selection based on data mining

Green chemistry : an international journal and green chemistry resource : GC, 2017, Vol.19 (1), p.140-152

2017

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A review of molecular representation in the age of machine learning

Wiley interdisciplinary reviews. Computational molecular science, 2022-09, Vol.12 (5), p.e1603-n/a

2022

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Techno-economic assessment of emerging CO2 electrolysis technologies

STAR protocols, 2021-12, Vol.2 (4), p.100889-100889, Article 100889

2021

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Software for processing and analyzing data obtained from hybrid pixel detectors of the Medipix family

AIP Conference Proceedings, 2023, Vol.2726 (1)

2023

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Comparative Assessment of Technologies for Extraction of Artemisinin

Journal of natural products (Washington, D.C.), 2006-11, Vol.69 (11), p.1653-1664

2006

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Reversible Storage of Molecular Hydrogen by Sorption into Multilayered TiO2 Nanotubes

The journal of physical chemistry. B, 2005-10, Vol.109 (41), p.19422-19427

2005

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Minor Product Polymerization Causes Failure of High-Current CO2‑to-Ethylene Electrolyzers

ACS energy letters, 2022-02, Vol.7 (2), p.599-601

2022

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Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset

Scientific data, 2024-07, Vol.11 (1), p.728-10, Article 728

2024

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Improved stability of Y2O3 supported Ni catalysts for CO2 methanation by precursor-determined metal-support interaction

Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives

Hydrodynamic assembly of two-dimensional layered double hydroxide nanostructures

Automatic discovery and optimization of chemical processes

On the role of C4 and C5 products in electrochemical CO2 reduction via copper-based catalysts

A dynamic knowledge graph approach to distributed self-driving laboratories

Continuous-Flow Synthesis and Derivatization of Aziridines through Palladium-Catalyzed C(sp3)−H Activation

From Platform to Knowledge Graph: Evolution of Laboratory Automation

Carbon neutral manufacturing via on-site CO2 recycling

Associative STDP-like learning of neuromorphic circuits based on polyaniline memristive microdevices

Anti-plasmodial polyvalent interactions in Artemisia annua L. aqueous extract--possible synergistic and resistance mechanisms

Closed-Loop Multitarget Optimization for Discovery of New Emulsion Polymerization Recipes

The effect of chemical representation on active machine learning towards closed-loop optimization

Automation of route identification and optimisation based on data-mining and chemical intuition

Completing and Balancing Database Excerpted Chemical Reactions with a Hybrid Mechanistic-Machine Learning Approach

Chemical storage of renewable energy

Reaction Impurity Prediction using a Data Mining Approach

Towards automation of chemical process route selection based on data mining

A review of molecular representation in the age of machine learning

Techno-economic assessment of emerging CO2 electrolysis technologies

Software for processing and analyzing data obtained from hybrid pixel detectors of the Medipix family

Comparative Assessment of Technologies for Extraction of Artemisinin

Reversible Storage of Molecular Hydrogen by Sorption into Multilayered TiO2 Nanotubes

Minor Product Polymerization Causes Failure of High-Current CO2‑to-Ethylene Electrolyzers

Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset

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