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Papers citing Controlling an organic synthesis robot with machine learning to search for new reactivity

  1. Synthetic organic chemistry driven by artificial intelligence

    Nature Reviews Chemistry · 2019-08-21

    A. Filipa Almeida, Rui Moreira, Tiago Rodrigues

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  2. 3D-printed automation for optimized PET radiochemistry

    Science Advances · 2019-09-06

    Alejandro Amor‐Coarasa, James Marshall Kelly, John W. Babich

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  3. High-throughput screening for improved microbial cell factories, perspective and promise

    Current Opinion in Biotechnology · 2019-09-09

    Michael D. Leavell, Amoolya H. Singh, Benjamin Kaufmann-Malaga

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  4. Establishment of Guidelines for the Control of Glycosylation Reactions and Intermediates by Quantitative Assessment of Reactivity

    Angewandte Chemie International Edition · 2019-09-13

    Chun‐Wei Chang, Chia‐Hui Wu, Mei‐Huei Lin, Pin‐Hsuan Liao, Chun‐Chi Chang, Hsiao‐Han Chuang, Su‐Ching Lin, Sarah Lam, Ved Prakash Verma, Chao‐Ping Hsu, Cheng‐Chung Wang

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  5. Establishment of Guidelines for the Control of Glycosylation Reactions and Intermediates by Quantitative Assessment of Reactivity

    Angewandte Chemie · 2019-09-13

    Chun‐Wei Chang, Chia‐Hui Wu, Mei‐Huei Lin, Pin‐Hsuan Liao, Chun‐Chi Chang, Hsiao‐Han Chuang, Su‐Ching Lin, Sarah Lam, Ved Prakash Verma, Chao‐Ping Hsu, Cheng‐Chung Wang

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  6. Autonome Entdeckung in den chemischen Wissenschaften, Teil I: Fortschritt

    Angewandte Chemie · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  7. Autonomous Discovery in the Chemical Sciences Part I: Progress

    Angewandte Chemie International Edition · 2019-09-25

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  8. Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN

    Integrating materials and manufacturing innovation · 2019-10-10

    Surya R. Kalidindi, Ali Khosravani, Berkay Yucel, Apaar Shanker, Aleksandr L. Blekh

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  9. A New World for Chemical Synthesis?

    CHIMIA International Journal for Chemistry · 2019-10-24

    Steven V. Ley, Yiding Chen, Daniel E. Fitzpatrick, Oliver S. May

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  10. NMR spectral analysis of strongly second‐order 6‐, 8‐, 9‐ and 10‐ spin‐systems (1H─19F, 19F─19F, and 13C─19F) in perfluorotoluyl‐ and tetrafluoro‐pyridyl‐aromatics using the lineshape method ANATOLIA

    Magnetic Resonance in Chemistry · 2019-10-29

    Mark A. Edgar, Dee Hayward, Fatemeh Zeinali, Shahzad Riaz, George William Weaver

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  11. Flow Photochemistry: Shine Some Light on Those Tubes!

    Trends in Chemistry · 2019-11-03

    Carlo Sambiagio, Timothy Noël

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  12. One-step synthesis of ball-shaped metal complexes with a main absorption band in the near-IR region

    Scientific Reports · 2019-11-11

    Taniyuki Furuyama, Fumika Shimasaki, Natsumi Saikawa, Hajime Maeda, Masahito Segi

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  13. Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns

    Frontiers in Chemistry · 2019-11-26

    Tânia F. G. G. Cova, Alberto A. C. C. Pais

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  14. Computational modeling to design and analyze synthetic metabolic circuits

    Unknown journal · 2019-11-28

    Mathilde Koch

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  15. AI-assisted synthesis prediction

    Drug Discovery Today Technologies · 2019-12-01

    Simon Johansson, Amol Thakkar, Thierry Kogej, Esben Jannik Bjerrum, Samuel Genheden, Tomas Bastys, Christos C. Kannas, Alexander Schliep, Hongming Chen, Ola Engkvist

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  16. Practical considerations for active machine learning in drug discovery

    Drug Discovery Today Technologies · 2019-12-01

    Daniel Reker

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  17. The good, the bad, and the ugly in chemical and biological data for machine learning

    Drug Discovery Today Technologies · 2019-12-01

    Tiago Rodrigues

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  18. Rapid Identification of X-ray Diffraction Spectra Based on Very Limited Data by Interpretable Convolutional Neural Networks

    arXiv (Cornell University) · 2019-12-16

    Hong Wang, Yunchao Xie, Dawei Li, Heng Deng, Yunxin Zhao, Ming Xin, Jian Lin

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  19. Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules

    Journal of the American Chemical Society · 2019-12-24

    Yunchao Xie, Chen Zhang, Xiangquan Hu, Chi Zhang, Steven P. Kelley, Jerry L. Atwood, Jian Lin

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  20. A Quantum Entanglement-Based Approach for Computing Sentence Similarity

    IEEE Access · 2020-01-01

    Yu Yan, Dong Qiu, Ruiteng Yan

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  21. A silver-substituted phosphomolybdate prevents the growth of bacteria without affecting the balance of reactive oxygen species

    CrystEngComm · 2020-01-01

    Jiai Hua, Xin Hua Yuan, Xiang Ma, Pengtao Ma, Jingping Wang, Jingyang Niu

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  22. Accelerating gas–liquid chemical reactions in flow

    Chemical Communications · 2020-01-01

    Suyong Han, Marjan Alsadat Kashfipour, Mahdi Ramezani, Milad Abolhasani

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  23. Automated generation of photochemical reaction data by transient flow experiments coupled with online HPLC analysis

    Reaction Chemistry & Engineering · 2020-01-01

    Christian P. Haas, Simon Biesenroth, Stephan Buckenmaier, Tom van de Goor, Ulrich Tallarek

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  24. Cost, performance prediction and optimization of a vanadium flow battery by machine-learning

    Energy & Environmental Science · 2020-01-01

    Tianyu Li, Feng Xing, Tao Liu, Jiawei Sun, Dingqin Shi, Huamin Zhang, Xianfeng Li

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  25. Digging Deeper into the Methods of Computational Chemistry

    Deep Blue (University of Michigan) · 2020-01-01

    Joshua A. Kammeraad

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  26. Digitising chemical synthesis in automated and robotic flow

    Chemical Science · 2020-01-01

    Tomas Hardwick, Nisar Ahmed

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  27. Iterative experimental design based on active machine learning reduces the experimental burden associated with reaction screening

    Reaction Chemistry & Engineering · 2020-01-01

    Natalie S. Eyke, William H. Green, Klavs F. Jensen

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  28. Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex

    Chemical Science · 2020-01-01

    Pascal Friederich, Gabe Gomes, Riccardo De Bin, Alán Aspuru‐Guzik, David Balcells

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  29. Machine learning the ropes: principles, applications and directions in synthetic chemistry

    Chemical Society Reviews · 2020-01-01

    Felix Strieth‐Kalthoff, Frederik Sandfort, Marwin Segler, Frank Glorius

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  30. Microwave Flow Chemistry

    Springer eBooks · 2020-01-01

    Joshua P. Barham, Emiko Koyama, Yasuo Norikane, Takeo Yoshimura

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  31. Online tracing of molecular weight evolution during radical polymerization via high-resolution FlowNMR spectroscopy

    Polymer Chemistry · 2020-01-01

    Jeroen Hendrik Vrijsen, Isabel A. Thomlinson, Martin E. Levere, Catherine L. Lyall, Matthew G. Davidson, Ulrich Hintermair, Tanja Junkers

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  32. Perspectives from nearly five decades of total synthesis of natural products and their analogues for biology and medicine

    Natural Product Reports · 2020-01-01

    Kyriacos Costa Nicolaou, Stephan Rigol

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  33. Prediction of optoelectronic properties of Cu 2 O using neural network potential

    Physical Chemistry Chemical Physics · 2020-01-01

    Balaranjan Selvaratnam, Ranjit T. Koodali, Pere Miró

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  34. Spectral deep learning for prediction and prospective validation of functional groups

    Chemical Science · 2020-01-01

    Jonathan A. Fine, Anand A. Rajasekar, Krupal P. Jethava, Gaurav Chopra

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  35. A unified machine-learning protocol for asymmetric catalysis as a proof of concept demonstration using asymmetric hydrogenation

    Proceedings of the National Academy of Sciences · 2020-01-08

    Sukriti Singh, Monika Pareek, Avtar Changotra, Sayan Banerjee, Bangaru Bhaskararao, P. Balamurugan, Raghavan B. Sunoj

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  36. Ternary Catalysis: A Stepping Stone toward Multicatalysis

    ACS Catalysis · 2020-01-08

    Shashank P. Sancheti, Urvashi Urvashi, Mosami P. Shah, Nitin T. Patil

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  37. A hybrid silicotungstate based on tri-coordination copper complex and Keggin type cluster with reactive oxygen species catalytic ability

    Journal of Molecular Structure · 2020-01-13

    Xiang Ma, Qiang Zhao, Bin Wang, Danni Li, Yujie Zhou, Jiai Hua, Pengtao Ma

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  38. Design space visualization for guiding investments in biodegradable and sustainably sourced materials

    MRS Communications · 2020-01-14

    James S. Peerless, Emre Sevgen, Stephen D. Edkins, Jason Koeller, Edward Kim, Yoolhee Kim, Astha Gargt, Erin Antono, Julia Ling

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  39. Multi‐Layer Feature Selection Incorporating Weighted Score‐Based Expert Knowledge toward Modeling Materials with Targeted Properties

    Advanced Theory and Simulations · 2020-01-15

    Yue Liu, Junming Wu, Maxim Avdeev, Siqi Shi

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  40. A Hybrid Strategy for the Discovery and Design of Photonic Structures

    IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2020-01-28

    Zhaocheng Liu, Lakshmi Raju, Dayu Zhu, Wenshan Cai

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  41. Low‐field benchtop NMR spectroscopy: status and prospects in natural product analysis †

    Phytochemical Analysis · 2020-01-28

    Teris André van Beek

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  42. A curious formulation robot enables the discovery of a novel protocell behavior

    Science Advances · 2020-01-31

    Jonathan Grizou, Laurie J. Points, Abhishek Sharma, Leroy Cronin

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  43. A Crystallization Robot for Generating True Random Numbers Based on Stochastic Chemical Processes

    Matter · 2020-02-10

    Edward C. Lee, Juan Manuel Parrilla Gutiérrez, Alon Henson, Euan K. Brechin, Leroy Cronin

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  44. Artificial Intelligence to Power the Future of Materials Science and Engineering

    Advanced Intelligent Systems · 2020-02-11

    Wuxin Sha, Yaqing Guo, Qing Min Yuan, Shun Tang, Xinfang Zhang, Songfeng Lu, Xin Guo, Yuan‐Cheng Cao, Shijie Cheng

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  45. Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems

    Advanced Materials · 2020-02-12

    Stefan Langner, Florian Häse, José Darío Perea, Tobias Stubhan, Jens Hauch, Loı̈c M. Roch, Thomas Heumueller, Alán Aspuru‐Guzik, Christoph Josef Brabec

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  46. Online process monitoring of a batch distillation by medium field NMR spectroscopy

    Chemical Engineering Science · 2020-02-12

    Anne Friebel, Erik von Harbou, Kerstin Münnemann, Hans Hasse

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  47. The Medicinal Chemistry in the Era of Machines and Automation: Recent Advances in Continuous Flow Technology

    Journal of Medicinal Chemistry · 2020-02-12

    Antimo Gioiello, Alessandro Piccinno, Anna Maria Lozza, Bruno Cerra

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  48. Simple Visual-Aided Automated Titration Using the Python Programming Language

    Journal of Chemical Education · 2020-02-14

    Song Tan, Pavan Kumar Naraharisetti, Siew Kian Chin, Lai Yeng Lee

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  49. Closed-loop optimization of fast-charging protocols for batteries with machine learning

    Nature · 2020-02-19

    Peter M. Attia, Aditya Grover, Norman Jin, Kristen Severson, Todor Markov, Yang-Hung Liao, Michael H. Chen, Bryan Cheong, Nicholas Perkins, Zi Yang, Patrick K. Herring, Muratahan Aykol, Stephen J. Harris, Richard D. Braatz, Stefano Ermon, William C. Chueh

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  50. What Does the Machine Learn? Knowledge Representations of Chemical Reactivity

    Journal of Chemical Information and Modeling · 2020-02-24

    Joshua A. Kammeraad, Jack Goetz, Eric A. Walker, Ambuj Tewari, Paul M. Zimmerman

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