activity
20182021
most citedAutonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

213 citations · 666 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 213 cited

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning

Adarsh Dave, Jared Mitchell, Sven Burke +3

In this work, we introduce a novel workflow that couples robotics to machine-learning for efficient optimization of a non-aqueous battery electrolyte. A custom-built automated expe…

math.OC2020★ 127 cited

The economics of utility-scale portable energy storage systems in a high-renewable grid

Guannan He, Jeremy Michalek, Soummya Kar +3

Battery storage is expected to play a crucial role in the low-carbon transformation of energy systems. The deployment of battery storage in the power gird, however, is currently se…

physics.app-ph2020★ 178 cited

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning

Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy +5

Innovations in batteries take years to formulate and commercialize, requiring extensive experimentation during the design and optimization phases. We approached the design and sele…

physics.chem-ph2019★ 24 cited

Benchmarking conductivity predictions of the Advanced Electrolyte Model (AEM) for aqueous systems

Adarsh Dave, Kevin L. Gering, Jared M. Mitchell +2

High-concentration aqueous electrolytes have shown promise as candidates for a safer, lower-cost battery system. Ionic conductivity is a key property required in high performing el…

math.OC2019★ 54 cited

Power System Dispatch with Marginal Degradation Cost of Battery Storage

Guannan He, Soummya Kar, Javad Mohammadi +2

Battery storage is essential for the future smart grid. The inevitable cell degradation renders the battery lifetime volatile and highly dependent on battery dispatch, and thus inc…

eess.SY2018★ 8 cited

Spatiotemporal Arbitrage of Large-Scale Portable Energy Storage for Grid Congestion Relief

Guannan He, Da Zhang, Xidong Pi +3

Energy storage has great potential in grid congestion relief. By making large-scale energy storage portable through trucking, its capability to address grid congestion can be great…

eess.SY2018★ 62 cited

The Economic End of Life of Electrochemical Energy Storage

Guannan He, Rebecca Ciez, Panayiotis Moutis +2

The useful life of electrochemical energy storage (EES) is a critical factor to EES planning, operation, and economic assessment. Today, systems commonly assume a physical end-of-l…