NeF-TAC unites chemists, engineers, and data scientists to explore the transformative synergy of experimental benchwork and cutting-edge digital tools. This conference highlights how innovations in artificial intelligence, machine learning, high-throughput experimentation, and computational modeling are accelerating chemical discoveries across diverse fields including synthetic chemistry, environmental, marine chemistry, energy storage, biomolecular research, catalysis and materials science.

By bridging hands-on laboratory practice with advanced computational techniques, NeF-TAC fosters collaborative approaches that enhance prediction, design, validation, and application of novel chemical processes and materials. Participants will engage through plenary talks, invited expert lectures, and interactive poster sessions that showcase pioneering research, practical implementations, and emerging trends driving the future of chemistry.

NeF-TAC welcomes contributions from academia, industry, and research institutions, aiming to inspire innovation, build networks, and shape the next generation of chemical discovery.