Conference Schedule

Rethinking “science as usual”: indigenous science, refusals, and the future of automated discovery

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Panelists:

• Reena Shadaan
• Erin Konsmo
• Fernanda Yanchapaxi
• Kristen Bos
• M. Murphy

Chair:

• Udo Bach

Presenters:

• Alexander Siemenn | Accelerating the rate of self-driving laboratory materials discovery through specialized hardware and autonomy
• Keith Brown | BEAR DEN: The bayesian experimental autonomous researcher distributed equipment network
• Noah Paulson | The rapid prototyping laboratory – enabling a next-generation laboratory via modular hardware and software solutions
• Maryam Ebrahimiazar | Accelerated discovery of immersion cooling fluids for electric vehicles
• Harrison Mills | A self-driving workflow for the automated optimization and targeting of sustainable polymer material mechanical properties

Chair:

• Carla Brown

Presenters:

• Anton Dmitrienko | Next-generation high-throughput screening tools and methods for the discovery of pharmaceutical crystal forms
• Sarah Maurer | Laboratory automation and supervised AI to understand abiotic cell formation
• Ilya Yakavets | Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays
• Alastair  Florence | Realising industry 5.0 medicines development and manufacturing through cyberphysical infrastructure
• Milica Radisic | Self-driving platforms for automated biological experimentation

Chair:

• Varinia Bernales

Presenters:

• Wesley McNutt | DPS as an approach to kinetic study for process understanding
• Kai Nichols | Enabling industry adoption of AI for solid-state materials design
• Heather Kulik | How to use data in inorganic chemistry to make computational predictions a reality
• Shyue Ping Ong | Rightsizing AI models for materials science

Chair:

• Rama El-khawaldeh

Presenters:

• Bastian Ruehle | Workflow generation, management, and semantic description for self-driving labs
• Kristen Hallas | Speak, see, sense: How NLP, robotics, and computer vision can improve automated experimentation in self-driving laboratories
• Olexandr Isayev | Machine learning anomaly detection of automated HPLC experiments in the cloud laboratory
• Don Futaba | Autokobo: An ecosystem for lab automation and autonomy at AIST

Chair:

• Ali Shayesteh

Presenters:

• Shu Hu | Towards autonomous discovery of hybrid coatings and membranes for energy applications
• Jiayu Peng | Predicting the chemical (dis)order in multicomponent materials with high-throughput simulations and representation learning
• Weilai Yu | Decoding the ‘Mona Lisa’ of battery research: Data-driven xps insights into the solid electrolyte interphase
• Chris Sutton | Accelerated discovery of new anode materials for long-duration batteries through machine learning and first-principles calculations

Chair:

• Joshua Schrier

Presenters:

• Sang Soo Han | Mark: AI materials scientist for nanomaterials
• Keith Task | Artificial intelligence for reaction optimization
• Linjiang Chen | A multi-agent, multi-robot, multi-tasking self-driving lab for on-demand chemical research
• James Goettel  + Keith Armstrong | Automated tools to accelerate organometallic chemistry for catalyst discovery
• Shayan S Mousavi Masouleh | Towards autonomous innovation: AI and self-driving labs in scalable research platforms

Chair:

• Jingyu Feng

Presenters:

• Shoichi Matsuda | Autonomous and automated high throughput robotic experiments for accelerated discovery of multi-components electrolyte for rechargeable batteries
• Lily Robertson | Finding the gems in nonaqueous electrolyte portfolios via an air-free self-driving lab approach for energy storage
• Marisa Gliege | AI-assisted discovery of new corrosion inhibitors for bulk Cu CMP slurries
• Cathy Chin | Mapping free energy landscapes of C-O and C-H bond activation within molecular rate theory framework, with operando spectroscopy, computational chemistry, and ai-driven automated analysis
• Antonio Santagata | IT-MADAM: An integrated platform for automated materials and device acceleration toward sustainable energy devices

Chair:

• Michael Williams

Presenters:

• Nicholas Sandor   | Crystal clear: Applying computer vision to control and optimize the growth of large single crystals from solution
• Eunice Aissi | Ultra-high throughput materials exploration through inkjet deposition
• Nicola Bell  | Automating chemistry beyond our reactive atmosphere
• Thomas Malig | Leveraging data-rich experimentation to accelerate process development

Presenter:

• Rafael Gómez-Bombarelli

Presenter

• Alán Aspuru-Guzik

Speaker:

• Mohamad Moosavi | Chair, Accelerate Conference 2025

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Explore posters and enjoy complimentary drinks and snacks.