Doctoral network for high-throughput screening, synthesis and characterization of active materials for flow batteries
17 Doctoral candidates -
we are
PREDICTOR
Manaswitha Todupunuri
Fraunhofer Institute for Chemical Technology ICT
“Electrochemical high-throughput analytics is a rising method filled with potential. I’m excited to work on automated liquid handling system and possibly integrate it with other measuring/spectroscopy units... ”
"My goal is to accelerate redox flow battery research within the PREDICTOR project by pioneering a highly innovative, automated high-throughput electrochemical platform using potentio-dynamic techniques...”
Fraunhofer Institute for Algorithms and Scientific Computing SCAI
“My goal is to accelerate redox flow battery research with a data-driven, semantic framework that combines AI, high-throughput screening, and advanced tools to extract knowledge, build predictive models, and guide better design and operation.”
“I really enjoy contributing to this project from a computational perspective, and I hope that the technology we aim to create can pave the way for the exploration of tons of new organics to be used in ORFBs...”
“By developing accurate and efficient machine learning force fields for organic electrolytes, we can unlock new insights into redox-flow batteries, accelerating their design and supporting the transition towards more reliable and sustainable energy storage solutions.”
“Improving the energy density of the flow batteries through advanced strategies involving solid boosters and redox shuttles offers a promising route towards matching the performance of solid-state systems...”
“Discovering new redox materials is like navigating a vast chemical landscape. With high-throughput methods and smart automation, we’re no longer walking blind—we’re charting the map.”
"With the many possibilities we have for obtaining superior performance in redox flow batteries, I am glad to be involved in PREDICTOR's project of optimizing these possibilities using machine learning..."
"With the right predictive control strategies, Redox Flow Batteries can achieve efficiencies that position them as strong contenders against the current state-of-the-art in electrochemical storage."
“Redox flow batteries are essential for enabling reliable, large-scale renewable energy storage. This project supports their accelerated development through predictive modeling and high-throughput innovation, aligning with PREDICTOR’s vision of sustainable energy future.”
“This project highlights the power of combining scientific knowledge - rooted in physics and chemistry - with computational tools and digital technologies to address complex challenges in sustainable energy storage.”
“In PREDICTOR, I’m focused on building a practical path from redox-active molecule design to high-throughput synthesis. What excites me most is turning abstract chemical ideas into real, testable compounds—fast...”
“How can we accelerate the optimisation process for flow batteries? A software platform that integrates automation and artificial intelligence, a semantic framework that incorporates various experimental equipment, and a committed and collaborative team. I'm excited to embark on this journey!”
