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Chemical Science
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January 3, 2022
Accelerated AI development for autonomous materials synthesis in flow
Robert W Epps, Amanda A Volk, Kristofer G Reyes, et al.
Scientific Reports
|
March 14, 2023
Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
Marcus M Noack, Harinarayan Krishnan, Mark D Risser, et al.
Scientific Reports
|
July 2, 2024
Identifying Bayesian optimal experiments for uncertain biochemical pathway models
Natalie M Isenberg, Susan D Mertins, Byung-Jun Yoon, et al.
Advanced Biology
|
November 23, 2021
Engineering Gelation Kinetics in Living Silk Hydrogels by Differential Dynamic Microscopy Microrheology and Machine Learning
Rhett L Martineau, Alexandra V Bayles, Chia-Suei Hung, et al.
Iscience
|
April 5, 2021
Using simulation to accelerate autonomous experimentation: A case study using mechanics
Aldair E Gongora, Kelsey L Snapp, Emily Whiting, et al.
Science Advances
|
April 18, 2020
A Bayesian experimental autonomous researcher for mechanical design
Aldair E Gongora, Bowen Xu, Wyatt Perry, et al.
Nature Communications
|
March 15, 2023
AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Amanda A Volk, Robert W Epps, Daniel T Yonemoto, et al.
Advanced Materials (Deerfield Beach, Fla.)
|
June 5, 2020
Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot
Robert W Epps, Michael S Bowen, Amanda A Volk, et al.
Nucleic Acids Research
|
March 24, 2017
Optimization of a novel biophysical model using large scale in vivo antisense hybridization data displays improved prediction capabilities of structurally accessible RNA regions
Jorge Vazquez-Anderson, Mia K Mihailovic, Kevin C Baldridge, et al.
Nanoscale
|
December 20, 2023
Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab
Sina Sadeghi, Fazel Bateni, Taekhoon Kim, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Chemical Science
|
January 3, 2022
Accelerated AI development for autonomous materials synthesis in flow
Robert W Epps, Amanda A Volk, Kristofer G Reyes, et al.
Scientific Reports
|
March 14, 2023
Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
Marcus M Noack, Harinarayan Krishnan, Mark D Risser, et al.
Scientific Reports
|
July 2, 2024
Identifying Bayesian optimal experiments for uncertain biochemical pathway models
Natalie M Isenberg, Susan D Mertins, Byung-Jun Yoon, et al.
Advanced Biology
|
November 23, 2021
Engineering Gelation Kinetics in Living Silk Hydrogels by Differential Dynamic Microscopy Microrheology and Machine Learning
Rhett L Martineau, Alexandra V Bayles, Chia-Suei Hung, et al.
Iscience
|
April 5, 2021
Using simulation to accelerate autonomous experimentation: A case study using mechanics
Aldair E Gongora, Kelsey L Snapp, Emily Whiting, et al.
Science Advances
|
April 18, 2020
A Bayesian experimental autonomous researcher for mechanical design
Aldair E Gongora, Bowen Xu, Wyatt Perry, et al.
Nature Communications
|
March 15, 2023
AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Amanda A Volk, Robert W Epps, Daniel T Yonemoto, et al.
Advanced Materials (Deerfield Beach, Fla.)
|
June 5, 2020
Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot
Robert W Epps, Michael S Bowen, Amanda A Volk, et al.
Nucleic Acids Research
|
March 24, 2017
Optimization of a novel biophysical model using large scale in vivo antisense hybridization data displays improved prediction capabilities of structurally accessible RNA regions
Jorge Vazquez-Anderson, Mia K Mihailovic, Kevin C Baldridge, et al.
Nanoscale
|
December 20, 2023
Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab
Sina Sadeghi, Fazel Bateni, Taekhoon Kim, et al.
Page
of 1