New Technology– category –
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Researchers Develop ‘React-OT’ AI for Fast and Accurate Prediction of Chemical Reaction Transition States
The Research Code Unknown Overview Researchers have developed 'React-OT,' a machine learning approach capable of predicting chemical reaction transition states with unprecedented speed and accuracy. This technology will significantly acc... -
Dunia Innovations Invests €280M in Berlin GigaLab to Industrialize AI-Driven Materials Discovery
Scouts by Yutori Germany Overview Dunia Innovations has invested €280 million in the Berlin GigaLab facility, marking a significant step towards industrializing AI-driven materials discovery. This massive investment focuses on applied re... -
NUS Designs Catalyst for Urea Fertilizer Production from CO2 and Waste Nitrates, Integrating LLMs, DFT, and Experimentation
NUS Faculty of Science Singapore Overview Researchers at the National University of Singapore (NUS) developed a computationally guided strategy, integrating Large Language Models (LLMs), Density Functional Theory (DFT), and experimental ... -
University of Washington Accelerates Stacked Atomic Sheet and Quantum Computer Material Development by Fusing AI and Quantum Computing
University of Washington USA Overview University of Washington researchers have demonstrated how combining artificial intelligence (AI) and quantum computing significantly accelerates the development of quantum materials. One study (PNAS... -
German Federal Ministry of Education and Research Funds ASCEND Project with €30M to Accelerate AI-Driven Catalyst Development via Autonomous Labs
e-conversion Germany Overview The German Federal Ministry of Education and Research (BMFTR) launched the 'ASCEND' project, investing €30 million across six research and industry partners, including Helmholtz-Zentrum Berlin and BASF, to a... -
U.S. DOE National Labs Accelerate Materials Science & Energy Research by Fusing AI and Human Expertise
AI & Tech News Engine USA Overview A new generation of materials scientists is accelerating materials discovery in energy storage, aerospace, and manufacturing by combining traditional metallurgy expertise with cutting-edge computational... -
Queensland University of Technology Researchers Discover Method to Control Quantum Effect, Paving Way for Battery-Free Devices
ScienceDaily (Queensland University of Technology) Australia Overview A research team led by Queensland University of Technology (QUT) discovered a method to control a quantum effect in advanced materials, potentially enabling electronic... -
SCM Releases ‘AMS2026’ Software, Accelerating Materials Chemistry Simulations with ML Potentials and GPU Optimization
SCM (Scientific Computing & Modelling) Netherlands Overview SCM announced the release of 'AMS2026' software, featuring major advancements in machine learning potentials (eSEN, MACE, UMA) that expand chemical coverage for biomolecules, ca... -
International Team, Including Tohoku University, Accelerates Methane Pyrolysis Catalyst Discovery with AI-Driven Platform ‘DigMethpy’
Tohoku University Japan Overview An international research team, including Tohoku University, developed 'DigMethpy,' an AI-driven digital catalyst platform to accelerate methane pyrolysis catalyst discovery. The platform integrates scien... -
London Researchers Dramatically Reduce Qubit Count for Crystalline Material Simulations on Quantum Computers
Quantum Zeitgeist UK Overview Researchers at the London Centre for Nanotechnology (LCN) have developed a 'periodic symmetry-adapted encoding' framework, significantly reducing the number of qubits required for electronic structure simula...
