Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Accelerated chemical science with AI
In light of the pressing need for practical materials and molecular solutions to renewable
energy and health problems, to name just two examples, one wonders how to accelerate …
energy and health problems, to name just two examples, one wonders how to accelerate …
Delocalized, asynchronous, closed-loop discovery of organic laser emitters
Contemporary materials discovery requires intricate sequences of synthesis, formulation,
and characterization that often span multiple locations with specialized expertise or …
and characterization that often span multiple locations with specialized expertise or …
Materials acceleration platforms (MAPs): accelerating materials research and development to meet urgent societal challenges
Abstract Climate Change and Materials Criticality challenges are driving urgent responses
from global governments. These global responses drive policy to achieve sustainable …
from global governments. These global responses drive policy to achieve sustainable …
Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations
Non‐trivial relationships link individual materials properties to device‐level performance.
Device optimization therefore calls for new automation approaches beyond the laboratory …
Device optimization therefore calls for new automation approaches beyond the laboratory …
Integrating autonomy into automated research platforms
Integrating automation and autonomy into self-driving laboratories promises more efficient
and reproducible experimentation while freeing scientists to focus on intellectual challenges …
and reproducible experimentation while freeing scientists to focus on intellectual challenges …
CALiSol-23: Experimental electrolyte conductivity data for various Li-salts and solvent combinations
Ion transport in non-aqueous electrolytes is crucial for high performance lithium-ion battery
(LIB) development. The design of superior electrolytes requires extensive experimentation …
(LIB) development. The design of superior electrolytes requires extensive experimentation …
Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory
The pressing need for improved energy materials calls for an acceleration of research to
expedite their commercial application for the energy transition. To explore the vast amount of …
expedite their commercial application for the energy transition. To explore the vast amount of …
OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler
The material acceleration platform, empowered by robotics and artificial intelligence, is a
transformative approach for expediting material discovery processes across diverse …
transformative approach for expediting material discovery processes across diverse …
A bridge between trust and control: computational workflows meet automated battery cycling
Compliance with good research data management practices means trust in the integrity of
the data, and it is achievable by full control of the data gathering process. In this work, we …
the data, and it is achievable by full control of the data gathering process. In this work, we …