Papers citing A mobile robotic chemist
Designing peptide nanoparticles for efficient brain delivery
Advanced Drug Delivery Reviews · 2020
Aroa Duro‐Castaño, Diana M. Leite, Joe Forth, Yangwei Deng, Diana Matias, Carlos Noble-Jesus, Giuseppe Battaglia
Read original paper ↗ ·Digitising chemical synthesis in automated and robotic flow
Chemical Science · 2020
Tomas Hardwick, Nisar Ahmed
Read original paper ↗ ·Electrocatalyst design for aprotic Li–CO 2 batteries
Energy & Environmental Science · 2020
Zhen Zhang, Wen-Long Bai, Kai‐Xue Wang, Jie-Sheng Chen
Read original paper ↗ ·Navigating the design space of inorganic materials synthesis using statistical methods and machine learning
Dalton Transactions · 2020
Erick J. Braham, Rachel D. Davidson, Mohammed Al‐Hashimi, Raymundo Arróyave, Sarbajit Banerjee
Read original paper ↗ ·Synthetic Organic Design for Solar Fuel Systems
Angewandte Chemie International Edition · 2020
Julien Warnan, Erwin Reisner
Read original paper ↗ ·Synthetic Organic Design for Solar Fuel Systems
Angewandte Chemie · 2020
Julien Warnan, Erwin Reisner
Read original paper ↗ ·Automating Academic Laboratories: Promoting Reliability, Productivity, and Safety
ACS Energy Letters · 2020
Phillip Christopher
Read original paper ↗ ·Machine learning in experimental materials chemistry
Catalysis Today · 2020
Balaranjan Selvaratnam, Ranjit T. Koodali
Read original paper ↗ ·A Mild Method for Making MIDA Boronates
Organic Letters · 2020
Aidan Kelly, Peng–Jui Chen, Jenna Klubnick, Daniel J. Blair, Martin D. Burke
Read original paper ↗ ·Boxing Clever: Robotic Screening of Catalysts Using an Adapted Gas Chromatograph
Matter · 2020
Andrew Ian Cooper
Read original paper ↗ ·Digital Reticular Chemistry
Chem · 2020
Hao Lyu, Zhe Ji, Stefan Wuttke, Omar M. Yaghi
Read original paper ↗ ·Molecular Machine Learning: The Future of Synthetic Chemistry?
Angewandte Chemie International Edition · 2020
Philipp Miro Pflüger, Frank Glorius
Read original paper ↗ ·Molekulares maschinelles Lernen: Die Zukunft der Synthesechemie?
Angewandte Chemie · 2020
Philipp Miro Pflüger, Frank Glorius
Read original paper ↗ ·Design of functionally cooperating systems and application towards self-propulsive mini-generators
Materials Chemistry Frontiers · 2020
Mengjiao Cheng, Lina Zhang, Feng Shi
Read original paper ↗ ·Ants, robots, humans: a self-organizing, complex systems modeling approach
RePEc: Research Papers in Economics · 2020
Martín Jaraíz
Read original paper ↗ ·Much ado about nothing – a decade of porous materials research
Nature Communications · 2020
Arne Thomas
Read original paper ↗ ·De Novo Synthetic Design for Ultrafast Formation of Disulfide Bonds in Peptides and Proteins .pdf
ChemRxiv · 2020
Shay Laps, Fatima Atamleh, Guy Kamnesky, Hao Sun, Ashraf Brik
Read original paper ↗ ·Potentials and challenges of polymer informatics: exploiting machine learning for polymer design
arXiv (Cornell University) · 2020
Stephen Wu, Hironao YAMADA, Hayashi, Yoshihiro, Massimiliano Zamengo, Ryo Yoshida
Read original paper ↗ ·Time Economy in Total Synthesis
The Journal of Organic Chemistry · 2020
Yujiro Hayashi
Read original paper ↗ ·Machine Learning for Atomic Simulation and Activity Prediction in Heterogeneous Catalysis: Current Status and Future
ACS Catalysis · 2020
Sicong Ma, Zhi‐Pan Liu
Read original paper ↗ ·The future of sustainable chemistry and process: Convergence of artificial intelligence, data and hardware
Energy and AI · 2020
Xin Yee Tai, Hao Zhang, Zhiqiang Niu, Steven D. R. Christie, Jin Xuan
Read original paper ↗ ·Artificial intelligence and automation in computer aided synthesis planning
Reaction Chemistry & Engineering · 2020
Amol Thakkar, Simon Johansson, Kjell Jorner, David Buttar, Jean‐Louis Reymond, Ola Engkvist
Read original paper ↗ ·The Role of Machine Learning in the Understanding and Design of Materials
Journal of the American Chemical Society · 2020
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Read original paper ↗ ·Automation in the Life Science Research Laboratory
Frontiers in Bioengineering and Biotechnology · 2020
Ian Holland, Jamie A. Davies
Read original paper ↗ ·Porous flexible frameworks: origins of flexibility and applications
Materials Horizons · 2020
Saona Seth, Samik Jhulki
Read original paper ↗ ·Machine learning for metabolic engineering: A review
Metabolic Engineering · 2020
Christopher E. Lawson, Jose Manuel Martí, Tijana Radivojević, Sai Vamshi R. Jonnalagadda, Reinhard Gentz, Nathan J. Hillson, Sean Peisert, Joonhoon Kim, Blake Alexander Simmons, Christopher J. Petzold, Steven W. Singer, Aindrila Mukhopadhyay, Deepti Tanjore, Joshua G. Dunn, Héctor García Martín
Read original paper ↗ ·Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity
ChemRxiv · 2020
Daniil Bash, Yongqiang Cai, Vijila Chellappan, Swee Liang Wong, Yang Xu, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce Jian Wei Cheng, Yee‐Fun Lim, Isaac Parker Siyu Tian, Zekun Ren, Wai Kuan Wong, Flore Mekki‐Berrada, Jatin Kumar, Saif A. Khan, Qianxiao Li, Tonio Buonassisi, Kedar Hippalgaonkar
Read original paper ↗ ·On-the-fly closed-loop materials discovery via Bayesian active learning
Nature Communications · 2020
A. Gilad Kusne, Heshan Yu, Changming Wu, Huairuo Zhang, Jason Hattrick-Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo A, Albert V. Davydov, Ritesh Agarwal, Leonid A. Bendersky, Mo Li, Apurva Mehta, Ichiro Takeuchi
Read original paper ↗ ·Levels of autonomy in synthetic biology engineering
Molecular Systems Biology · 2020
Jacob Beal, Miles T. Rogers
Read original paper ↗ ·Deep learning and generative methods in cheminformatics and chemical biology: navigating small molecule space intelligently
Biochemical Journal · 2020
Douglas Bruce Kell, Soumitra Samanta, Neil Swainston
Read original paper ↗ ·Can we predict materials that can be synthesised?
Chemical Science · 2020
Filip Szczypiński, Steven Bennett, Kim E. Jelfs
Read original paper ↗ ·Automated Oligosaccharide Synthesis: Development of the Glyconeer®
Elsevier eBooks · 2020
Dror Ben Abba Amiel, Israel Alshanski, Mattan Hurevich
Read original paper ↗ ·Fully Exposed Cluster Catalyst (FECC): Toward Rich Surface Sites and Full Atom Utilization Efficiency
ACS Central Science · 2020
Mi Peng, Chunyang Dong, Rui Gao, Dequan Xiao, Hongyang Liu, Ding Ma
Read original paper ↗ ·Light-triggered hydrogen production from anhydrous alkaline methanol on a multi-layer device
Venue not supplied by source · 2020
Yiou Wang, En‐Ping Yao, Jacek K. Stolarczyk, Jochen Feldmann
Read original paper ↗ ·Materials design by synthetic biology
Nature Reviews Materials · 2020
Tzu‐Chieh Tang, Bolin An, Yuan‐Yuan Huang, Sangita Vasikaran, Yanyi Wang, Xiaoyu Jiang, Timothy K. Lu, Chao Zhong
Read original paper ↗ ·Digitizing Chemistry Using the Chemical Processing Unit: From Synthesis to Discovery
Accounts of Chemical Research · 2020
Liam Wilbraham, S. Hessam M. Mehr, Leroy Cronin
Read original paper ↗ ·Accelerating organic solar cell material's discovery: high-throughput screening and big data
Energy & Environmental Science · 2021
Xabier Rodríguez‐Martínez, Enrique Pascual‐San‐José, Mariano Campoy‐Quiles
Read original paper ↗ ·Advancing photoreforming of organics: highlights on photocatalyst and system designs for selective oxidation reactions
Energy & Environmental Science · 2021
Cui Ying Toe, Constantine Tsounis, Jiajun Zhang, Hassan Masood, Denny Gunawan, Jason Anthony Scott, Rose Amal
Read original paper ↗ ·Atomic-level insight into reasonable design of metal-based catalysts for hydrogen oxidation in alkaline electrolytes
Energy & Environmental Science · 2021
Lulu An, Xu Zhao, Tonghui Zhao, Deli Wang
Read original paper ↗ ·Automated and enabling technologies for medicinal chemistry
Progress in medicinal chemistry · 2021
Paula L. Nichols
Read original paper ↗ ·Automation for Life Science Laboratories
Advances in biochemical engineering, biotechnology · 2021
Kerstin Thurow
Read original paper ↗ ·Automation isn't automatic
Chemical Science · 2021
Melodie Christensen, Lars P. E. Yunker, Parisa Shiri, Tara Zepel, Paloma L. Prieto, Shad Grunert, Finn Bork, Jason E. Hein
Read original paper ↗ ·Bayesian optimization of nanoporous materials
Molecular Systems Design & Engineering · 2021
Aryan Deshwal, Cory M. Simon, Janardhan Rao Doppa
Read original paper ↗ ·Combining machine learning and high-throughput experimentation to discover photocatalytically active organic molecules
Chemical Science · 2021
Xiaobo Li, Phillip M. Maffettone, Yu Che, Tao Liu, Linjiang Chen, Andrew Ian Cooper
Read original paper ↗ ·Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning
Chemical Science · 2021
Wei Li, Haibo Ma, Shuhua Li, Jing Ma
Read original paper ↗ ·Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells
RSC Advances · 2021
Mohammad J. Eslamibidgoli, Fabian P. Tipp, Jenia Jitsev, Jasna Janković, Michael Hermann Eikerling, Kourosh Malek
Read original paper ↗ ·Data-driven algorithms for inverse design of polymers
Soft Matter · 2021
Kianoosh Sattari, Yunchao Xie, Jian Lin
Read original paper ↗ ·DeepReac+: deep active learning for quantitative modeling of organic chemical reactions
Chemical Science · 2021
Yukang Gong, Dongyu Xue, Guohui Chuai, Jing Yu, Qi Liu
Read original paper ↗ ·Determining usefulness of machine learning in materials discovery using simulated research landscapes
Physical Chemistry Chemical Physics · 2021
Marcos del Cueto, Alessandro Troisi
Read original paper ↗ ·Development of a ROS Driver and Support Stack for the KMR iiwa Mobile Manipulator
Lecture notes in computer science · 2021
Hatem Fakhruldeen, David Márquez-Gámez, Andrew Ian Cooper
Read original paper ↗ ·