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AI-Powered Quantum Building Better Batteries

New machine learning algorithms predict cell performance and reliability quicker and more accurately

Berenice Baker

September 12, 2023

2 Min Read
Novonix batteries
Novonix is working with SandboxAQ to use AI-powered quantum in battery design. Novonix

Battery materials and technology company Novonix has started using AI-powered quantum simulation software from Alphabet spin-off SandboxAQ to enhance its ultra-high precision coulometry (UHPC) technology and battery cell prototyping and testing capabilities.

Reliable lithium-ion battery technology is increasingly in demand to support the sustainable energy revolution and run more efficient cars, electronics and critical infrastructure.

The simulation software is expected to enable researchers to create new products by analyzing chemical interactions at the molecular level, rapidly performing simulations to gain new insights and optimizing the results using AI to predict their commercial viability. 

The electrochemical system inside a lithium-ion cell depends on many factors including cell chemistry, temperature, cycle rate and operational voltage windows, as well as physical cell design parameters. This makes predicting the performance and degradation of batteries hard to predict using classical computing.

The battery industry currently carries out lifetime and performance assessments, which can take years to achieve the results needed to upgrade designs. Novonix currently predicts cell life using short-term, high-throughput UHPC testing in combination with advanced AI models.

SandboxAQ’s AI quantum simulation technology will enhance this process and better take into account the many complex interacting factors that affect battery life. Novonix will use the resulting models for data products and services in the first half of 2024, building on the company’s purpose-built, proprietary, battery data platform.

While SandboxAQ has experience in predictive modeling, the partnership marks the company’s first foray into quantum-powered materials science. This discipline enables researchers to create new products by analyzing chemical interactions at the molecular level. They can rapidly perform simulations to gain new insights and use AI to optimize the results and predict their commercial viability. 

“AI and quantum technologies will revolutionize nearly every industry,” said Sandbox AQ general manager of simulation and optimization Nadia Harhen.

“Collaborating with the scientists at Novonix to deploy machine learning algorithms and quantum simulations for battery R&D, we have an opportunity for immediate and substantial impact across application areas in energy storage. SandboxAQ’s predictive modeling technologies, paired with Novonix’s industry-leading expertise, will transform the battery industry’s ability to make informed decisions around chemistries, processes, cells, and technologies at every stage of research and manufacturing.”

About the Author(s)

Berenice Baker

Editor, Enter Quantum

Berenice is the editor of Enter Quantum, the companion website and exclusive content outlet for The Quantum Computing Summit. Enter Quantum informs quantum computing decision-makers and solutions creators with timely information, business applications and best practice to enable them to adopt the most effective quantum computing solution for their businesses. Berenice has a background in IT and 16 years’ experience as a technology journalist.

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