2026– date –
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Chemistry World Reports CuspAI Forms ‘AI Materials Foundry’ with Meta & Nvidia to Accelerate New Functional Material Discovery with AI
Chemistry World UK Overview Chemistry World reports that computational chemistry company CuspAI has formed the "AI Materials Foundry," a network of 45 organizations including Meta and Nvidia, to discover new functional materials using AI... -
Globus Platform to Power NSF-Funded Autonomous Laboratories for AI-Driven Materials Research
Globus / National Science Foundation (NSF) USA Overview The Globus platform will serve as an enabling technology for two new National Science Foundation (NSF) awards focused on creating remotely accessible, AI-driven laboratories for mat... -
Queen Mary University of London Researchers Advance Versatile Quantum Computing with Theoretical Framework for Bose-Hubbard Model Quantum Simulation
Queen Mary University of London UK Overview Researchers including those from Queen Mary University of London have developed a theoretical framework for quantum simulation of the Bose-Hubbard model, aiming for more versatile quantum compu... -
Fraunhofer IWM Advances Materials Research Using IBM Quantum Computers with Hybrid Quantum-Classical Simulation
Fraunhofer IWM Germany Overview Fraunhofer IWM is actively researching the application of quantum computing to materials research, particularly for simulating complex quantum mechanical systems like molecules and solids. Their projects a... -
arXiv Paper “ChemWorld” Introduces Programmable Chemical Worlds for Controlled & Replayable Agent Experimentation in Autonomous Chemistry
arXiv International Overview An arXiv preprint introduces "ChemWorld," a framework for programmable chemical worlds designed to enable controlled and replayable agent experimentation, emphasizing how recent advancements in self-driving l... -
IIT Madras Spinoff Discovered Materials Raises $9 Million Seed to Tackle AI Chip Overheating with AI Agents for Cooler Materials
Business Standard India Overview Discovered Materials, an AI materials startup founded by IIT Madras alumni, raised $9 million in seed funding to develop AI agents for discovering new materials for semiconductor chips. The company aims t... -
EE Times: AI Adoption in Materials R&D Hinges More on People Than Technology, Toyota Example Highlights Accelerated Development
EE Times USA Overview EE Times argues that AI adoption in materials R&D increasingly depends on people and organizational factors rather than technological capabilities, as neural network potentials now offer DFT-comparable accuracy ... -
PMC: Data-Driven Quantum Simulation with Rydberg Atoms Advances Closed-Loop Exploration of Artificial Quantum Materials
PMC International Overview A PMC review highlights Rydberg atom arrays as a versatile platform for data-driven quantum simulation of artificial quantum materials and strongly correlated systems, focusing on engineering and probing materi... -
Royal Society of Chemistry Reviews Data-Driven Interfacial Regulations via Molecular Additive Screening for Batteries and Electrocatalysis
The Royal Society of Chemistry UK Overview A review from The Royal Society of Chemistry highlights data-driven interfacial regulations through molecular additive screening for batteries and electrocatalysis. It identifies descriptor tran... -
ACS Publications: OMol25-Trained MLIPs Enable High-Accuracy, High-Throughput Na-ion Battery Electrolyte Solvation Structure Prediction with Experimental Verification
ACS Publications USA Overview An ACS Publications paper demonstrates that OMol25-trained machine learning interatomic potentials (MLIPs) provide an efficient and accurate route to predictive, high-throughput electrolyte simulations for n...
