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A Molecular Computing Approach to Solving Optimization Problems via Programmable Microdroplet Arrays

Si Yue Guo, Pascal Friederich, Yudong Cao, Tony Wu, Christopher Forman, Douglas Mendoza, Matthias Degroote, Andrew Cavell, Veronica Krasecki, Riley Hickman, Abhishek Sharma, Leroy Cronin, Nathan Gianneschi, Randall Goldsmith, Alan Aspuru-Guzik

Version 1 posted 12 November 2019

1,391

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Nanoscience

Working Paper

Self-Driving Laboratories: A Paradigm Shift in Nanomedicine Development

Riley Hickman, Pauric Bannigan, Zeqing Bao, Alán Aspuru-Guzik, Christine Allen

Version 1 posted 20 October 2022

602

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Materials Chemistry

Working Paper

Routescore: Punching the Ticket to More Efficient Materials Development

Martin Seifrid, Riley J. Hickman, Andrés Aguilar-Granda, Cyrille Lavigne, Jenya Vestfrid, Tony C. Wu, Théophile Gaudin, Emily J. Hopkins, Alán Aspuru-Guzik

Version 1 posted 16 July 2021

795

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Polymer Science

Working Paper

Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables

Pauric Bannigan, Zeqing Bao, Riley Hickman, Matteo Aldeghi, Florian Häse, Alán Aspuru-Guzik, Christine Allen

Version 3 posted 05 October 2022

1,807

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1

Citations

Nanoscience

Working Paper

Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug

Zeqing Bao, Fion Yung, Riley Hickman, Alán Aspuru-Guzik, Pauric Bannigan, Christine Allen

Version 1 posted 06 September 2023

412

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Materials Chemistry

Working Paper

ChemOS 2.0: an orchestration architecture for chemical self-driving laboratories

Malcolm Sim, Mohammad Ghazi Vakili, Felix Strieth-Kalthoff, Han Hao, Riley Hickman, Santiago Miret, Sergio Pablo-García, Alán Aspuru-Guzik

Version 1 posted 07 August 2023

1,816

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9

Citations

Materials Chemistry

Working Paper

Delocalized, Asynchronous, Closed-Loop Discovery of Organic Laser Emitters

Felix Strieth-Kalthoff, Han Hao, Vandana Rathore, Joshua Derasp, Théophile Gaudin, Nicholas H. Angello, Martin Seifrid, Ekaterina Trushina, Mason Guy, Junliang Liu, Xun Tang, Masashi Mamada, Wesley Wang, Tuul Tsagaantsooj, Cyrille Lavigne, Robert Pollice, Tony C. Wu, Kazuhiro Hotta, Leticia Bodo, Shangyu Li, Mohammad Haddadnia, Agnieszka Wolos, Rafal Roszak, Cher-Tian Ser, Carlota Bozal-Ginesta, Riley J. Hickman, Jenya Vestfrid, Andrés Aguilar-Gránda, Elena L. Klimareva, Ralph C. Sigerson, Wenduan Hou, Daniel Gahler, Slawomir Lach, Adrian Warzybok, Oleg Borodin, Simon Rohrbach, Benjamin Sanchez-Lengeling, Chihaya Adachi, Bartosz A. Grzybowski, Leroy Cronin, Jason E. Hein, Martin D. Burke, Alán Aspuru-Guzik

Version 1 posted 20 September 2023

2,128

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3

Citations

Chemical Engineering and Industrial Chemistry

Working Paper

Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science

Riley Hickman, Priyansh Parakh, Austin Cheng, Qianxiang Ai, Joshua Schrier, Matteo Aldeghi, Alán Aspuru-Guzik

Version 1 posted 18 May 2023

991

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1

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Theoretical and Computational Chemistry

Working Paper

Atlas: A Brain for Self-driving Laboratories

Riley Hickman, Malcolm Sim, Sergio Pablo-García, Ivan Woolhouse, Han Hao, Zeqing Bao, Pauric Bannigan, Christine Allen, Matteo Aldeghi, Alán Aspuru-Guzik

Version 1 posted 05 September 2023

1,218

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3

Citations

Catalysis

Working Paper

Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization

Riley Hickman, Jurgis Ruža, Loïc Roch, Hermann Tribukait, Alberto García-Durán

Version 1 posted 10 May 2022

834

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3

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Refine Search

11 results in Riley Hickman in Authors: Riley Hickman

A Molecular Computing Approach to Solving Optimization Problems via Programmable Microdroplet Arrays

Self-Driving Laboratories: A Paradigm Shift in Nanomedicine Development

Routescore: Punching the Ticket to More Efficient Materials Development

Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables

Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug

ChemOS 2.0: an orchestration architecture for chemical self-driving laboratories

Delocalized, Asynchronous, Closed-Loop Discovery of Organic Laser Emitters

Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science

Atlas: A Brain for Self-driving Laboratories

Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization

11 results in Authors: Riley Hickman