New Technology– category –
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Penn State Scientists Lead Three Genesis Mission Projects with AI to Accelerate 2D Material Manufacturing & Catalytic Performance Prediction
Penn State USA Overview Penn State scientists have received Phase 1 funding from the U.S. Department of Energy's (DOE) Genesis Mission to lead three AI-powered projects. These include accelerating 2D material manufacturing for future ele... -
Johns Hopkins University Secures $20M Grant to Build AI-Driven ‘Self-Driving’ Lab Network for Advanced Materials
Johns Hopkins University USA Overview Engineers at Johns Hopkins University have received a $20 million grant to establish a network of 'self-driving' laboratories guided by AI and robotic tools. This 'AIMD-Net' program will focus on adv... -
Unlocking Precision: Iterative Fine-Tuning Overcomes Bias in Universal MLIPs for Enhanced Material Simulations
Unknown Source Unknown Overview Universal Machine Learning Interatomic Potentials (uMLIPs) promise broad applicability across the periodic table, yet accurate out-of-domain predictions demand specialized fine-tuning. This study reveals t... -
Duke-Led Genesis Project Secures DOE Funding to Accelerate DNA-Based Material Design with AI for Next-Gen Energy
Duke University USA Overview A Duke University-led engineering team has secured a Phase 1 grant from the U.S. Department of Energy (DOE) for the Genesis project, aiming to accelerate the design of DNA-based materials for next-generation ... -
AI’s Three Pillars: Accelerating Materials Discovery with Predictive Models, Generative Design, and Machine Learning Interatomic Potentials
Source Unknown USA Overview Artificial intelligence is fundamentally transforming materials science through three key advancements: highly accurate property prediction, autonomous generative design, and revolutionary machine learning int... -
Rice University Secures $19.9M NSF Grant for ‘READINESS’ Project, Accelerating Electronic & Quantum Material Manufacturing via AI and Robotics
Rice University USA Overview Rice University has received a $19.9 million grant from the National Science Foundation (NSF) to establish the 'READINESS' project, an AI-powered materials laboratory. This initiative integrates AI, robotics,... -
Tohoku University AIMR Pioneers AI-Driven Closed-Loop System for Accelerated Energy Material Discovery
Advanced Institute for Materials Research (AIMR), Tohoku University / Digital Discovery Japan Overview Researchers at Tohoku University's Advanced Institute for Materials Research (AIMR) have unveiled a groundbreaking 'closed-loop' resea... -
Researchers Boost Vacuum-Deposited Perovskite Solar Cell Efficiency to 25.53% with Acetate-Driven Crystallization Control and High Stability
Perovskite-Info Unknown Overview Researchers have elevated the efficiency of vacuum-deposited perovskite solar cells (PSCs) to 25.53% using an acetate-driven crystallization control technique. This method utilizes the direct reaction bet... -
Intellivation LLC Reports Roll-to-Roll PVD Coating Advances Critical for Enhancing Stability of Flexible Perovskite Solar Cells
Intellivation LLC USA Overview Intellivation LLC reports that advancements in PVD (Physical Vapor Deposition) coating within roll-to-roll manufacturing processes play a crucial role in addressing the long-term stability, a major hurdle f... -
University of Sheffield and Partners Launch International Project for Lightweight Solar Power, Targeting Underutilized Rooftops and Building Sides
University of Sheffield UK Overview The University of Sheffield, in collaboration with Power Roll (UK) and Dyenamo AB (Sweden), has launched an international project focused on lightweight solar power. This initiative aims to leverage Po...
