Sustainable Materials Discovery renewable-carbon.eu/news/?p=172775 #artificialintelligence #bioeconomy #circulareconomy #materialsdiscovery #RenewableCarbon

Deep learning in-depth analysis of crystal graph convolutional neural networks:

This review evaluates #CGCNN in #MaterialsInformatics, detailing architecture, limitations, and integration with #GenerativeModels, while outlining benchmarking and strategies to advance data‑driven #MaterialsDiscovery.

#OpenAccess in Nanotechnology Reviews: doi.org/10.1515/ntre...

AI Discovery Day: Driving Innovation with NVIDIA & Dell Technologies Opportunities for University of Liverpool staff to shape industry collaborations and explore shared funding and infrastructure pathways.

📢 #LivUni PhD Students: Final call for abstract submissions for AI Discovery Day with NVIDIA & Dell Technologies

📩 Submissions accepted until midnight 15 Oct

📆 Event date: 22 Oct

#AIresearch #software #hardware #LLM #ML #GenerativeAI #materialsdiscovery #physics #maths #chemistry #engineering

I’m grateful to Bakar Bio Labs for the opportunity to share what we’re building at Azulene Labs and to be part of such a vibrant community.

#BakarLabs #UCBerkeley #DeepTech #Chemistry #MaterialsScience #Biochem #Biotech #PhysicsAI #AIforScience #MaterialsDiscovery #MolecularDiscovery

AI-powered materials map speeds up materials discovery Selecting the right material from countless possibilities remains a central hurdle in materials discovery. Theory-driven predictions and experiment-based validations help us make informed selections, but their progress has long proceeded on separate tracks.

Unlocking new materials is key to innovation! 💡 But theory & experiment haven’t connected…until now? The quest for perfect materials continues! ✨ #MaterialsDiscovery

Source: phys.org/news/2025-08-ai-powered-...

Embedded Morgan Fingerprints for more efficient molecular property predictions with machine learning High-dimensional data arrays in molecular representations pose some significant challenges for Machine Learning applications, including overfitting and computational inefficiency during training. This...

ML is accelerating #MaterialsDiscovery but it is energy-intensive. Emilio Nuñez Andrade strikes again this summer with #eMFP, a #MolecularRepresentation that improves performance and supports #sustainable and #scalable #MachineLearning. Pre-print: doi.org/10.26434/che...

AI model predicts new metal-doped compounds with enhanced mechanical properties A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting the modification of material properties. Artificial intelligence models that were pre-trained on a small amount of data enabled a significant increase in the calculation of the formation energies in possible configurations of higher tungsten boride doped with other metals.

✨AI predicts how materials change!🤯 Researchers boosted calculations for super-strong tungsten boride—unlocking new possibilities in material science!🚀 #materialsdiscovery

Source: phys.org/news/2025-06-ai-metal-do...

Explore @liverpooluni.bsky.social's Materials Discovery Research Frontier & listen to the Original Ideas Podcast Ep 2: Artificial Intelligence! 💡

🔬
liverpool.ac.uk/research/frontiers/materials-discovery/

🎙️
liverpool.ac.uk/research/original-ideas/artificial-intelligence/

#AI #MaterialsDiscovery

New Polymer Discovery Challenges Conventional Wisdom The UMass Amherst-led team is challenging the common belief that perfect fillers are the best choice for creating thermally conductive polymers. In the pursuit of developing next-generation materials...

New Polymer Discovery Challenges Conventional Wisdom #Science #Chemistry #MaterialsChemistry #PolymerScience #MaterialsDiscovery #Innovation

Come and join a growing and exciting effort at the @uoft.bsky.social on #ai for #materialsdiscovery #chemsky as #assistantprofessor Please reshare massively

Assistant/Associate Professor - Applied Artificial Intelligence (AI) and large-scale Machine Learning (ML) - Houston, Texas, United States Department: Electrical Engineering Salary: Commensurate with experience Description: The Electrical and Computer Engineering (ECE) Department at the University of Houston (UH) invites applicat...

Are you a leader in AI and materials discovery? Are you looking for a faculty position? Join us in the University of Houston Cullen College of Engineering!
careers.uh.edu/jobs/assista...
#MachineLearning #MaterialsDiscovery #AI #HigherEdJobs #AcademicJobs
Please help spread the word!

Ames National Laboratory is launching a new center to accelerate the discovery of complex materials for energy and tech using AI, ML, and exascale supercomputers ⚡🔬💻 #materialsdiscovery #ai #ml #supercomputing #exascalecomputing

Source- tinyurl.com/2brmfn7d

Cool Review and cool Behind The Paper blog post about structure prediction for #MaterialsDiscovery!

x.com/NatRevMater/st…