Self‐Driving Platform for Metal Nanoparticle Synthesis: Combining Microfluidics and Machine Learning-Reference-Cited by-同舟云学术

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Self‐Driving Platform for Metal Nanoparticle Synthesis: Combining Microfluidics and Machine Learning

Published:2021-09-15 Issue:51 Volume:31 Page:2106725
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv Funct Materials

Author:

Tao Huachen¹,Wu Tianyi¹,Kheiri Sina²,Aldeghi Matteo¹³⁴,Aspuru‐Guzik Alán¹³⁴,Kumacheva Eugenia¹^ORCID

Affiliation:

1. Department of Chemistry University of Toronto Toronto Ontario M5S 3H6 Canada

2. Department of Mechanical and Industrial Engineering University of Toronto Toronto Ontario M5S 3G8 Canada

3. Vector Institute for Artificial Intelligence Toronto Ontario M5G 1M1 Canada

4. Department of Computer Science University of Toronto Toronto Ontario M5S 2E4 Canada

Funder

Office of Naval Research

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202106725

Reference54 articles.

1. Introduction: Nanoparticles in Catalysis

2. Toward Design of Synergistically Active Carbon-Based Catalysts for Electrocatalytic Hydrogen Evolution

3. Thermoelectric Materials for Space and Automotive Power Generation

4. High-Efficiency Colloidal Quantum Dot Photovoltaics via Robust Self-Assembled Monolayers

5. Solution-Processed Quantum Dot Photodetectors

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