Materials Informatics– category –
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UCSB’s BioPACIFIC MIP Secures $20M NSF Grant to Autonomously Advance Polymer & Soft Material Research via Cloud Lab ‘COAST PCL’
BioPACIFIC MIP (UC Santa Barbara) USA Overview The University of California, Santa Barbara (UCSB) has received a $20 million grant from the National Science Foundation (NSF) to establish 'COAST PCL,' a national resource for automated pol... -
Boston University Secures $20M NSF Grant to Establish National ‘Cloud Lab’ Network Specializing in Biotech & Chemistry
Boston University USA Overview Boston University has received a $20 million grant from the National Science Foundation (NSF) to support the creation of a national 'cloud lab' network. Comprising 20 specialized labs across various discipl... -
University of Tennessee Secures $20M NSF Grant to Launch AI-Driven ‘ATHENA’ Lab, Accelerating Material Discovery by 10-30X
University of Tennessee, Knoxville USA Overview The University of Tennessee, Knoxville, has secured a $20 million grant from the National Science Foundation (NSF) to establish the 'ATHENA' initiative, becoming one of 20 research hubs for... -
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...
