ARPA-E CATALCHEM-E AI-Accelerated Catalyst Discovery (Discontinued)

CATALCHEM-E (Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently) is sponsored by U.S. Department of Energy's (DOE) Advanced Research Projects Agency-Energy (ARPA-E). This program pairs artificial intelligence (AI) with self-driving laboratories to dramatically accelerate industrial catalyst development for fuels and chemicals production. It aims to build systems that rapidly iterate between AI-guided prediction, synthesis, and testing.

ARPA-E is funding projects that couple advances in AI and machine learning with high-throughput experimentation and self-driving autonomous laboratories to dramatically accelerate industrial catalyst development for fuels and chemicals. The goal is to compress 10-15 years of traditional catalysis R&D into 12-18 months by verifiably automating the discovery loop. The program builds on ARPA-E's $34 million investment across 12 projects pairing AI with autonomous labs for catalyst development.

DOE ARPA-E Funding to Pair AI and Machine Learning with Autonomous Self-Driving Laboratories for Accelerated Catalyst and Chemicals Development is sponsored by U.S. Department of Energy, Advanced Research Projects Agency-Energy (ARPA-E). ARPA-E is funding projects that couple advances in AI and machine learning with high-throughput experimentation and self-driving autonomous laboratories to dramatically accelerate industrial catalyst development for fuels and chemicals.

CATALYTIC APPLICATION TESTING FOR ACCELERATED LEARNING CHEMISTRIES VIA HIGH-THROUGHPUT EXPERIMENTATION AND MODELING EFFICIENTLY (CATALCHEM-E) is sponsored by U.S. Department of Energy (DOE) Advanced Research Projects Agency-Energy (ARPA-E). This program funds projects that pair artificial intelligence (AI) with self-driving laboratories to dramatically accelerate industrial catalyst development for fuels and chemicals production.

CATALYTIC APPLICATION TESTING FOR ACCELERATED LEARNING CHEMISTRIES VIA HIGH-THROUGHPUT EXPERIMENTATION AND MODELING EFFICIENTLY (CATALCHEM-E) (DE-FOA-0003505) is sponsored by U.S. Department of Energy (DOE) ARPA-E. This program supports the development of novel workflows by coupling advancements in artificial intelligence (AI) and machine learning (ML) with high-throughput experimentation (HTE) to accelerate catalysis R&D.

CATALYTIC APPLICATION TESTING FOR ACCELERATED LEARNING CHEMISTRIES VIA HIGH-THROUGHPUT EXPERIMENTATION AND MODELING EFFICIENTLY (CATALCHEM-E) is sponsored by U.S. Department of Energy (ARPA-E). Aims to enhance catalytic application testing through high-throughput experimentation and modeling, coupling advancements in artificial intelligence (AI) and machine learning (ML) with high-throughput experimentation (HTE) to accelerate catalyst development.

ARPA-H CATALYST Program for AI-Powered Computational Drug Safety and Efficacy Prediction is sponsored by Advanced Research Projects Agency for Health (ARPA-H). The ARPA-H CATALYST (Computational ADME-Tox and Physiology Analysis for Safer Therapeutics) program leverages artificial intelligence and machine learning to develop computational models that mimic real human biology to predict drug safety and effectiveness for Investigational N…