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News

BIOENGINEER.ORG
bioengineer.org > ai-learns-to-read-metal-microstructures-unlocking-faster-additive-manufacturing-design

AI Learns to Read Metal Microstructures, Unlocking Faster Additive

6+ hour, 28+ min ago   (556+ words) Researchers have unveiled a data-driven framework that uses machine learning to decipher how the parameters of metal additive manufacturing shape the microscopic grain structures that determine a component’s strength, ductility, and durability....

MIT NSE
nse.mit.edu > mack-cleveland-using-computational-materials-science-to-engineer-higher-burnup-fuels

Mack Cleveland: Using computational materials science to engineer higher burnup fuels

4+ day, 21+ min ago   (468+ words) What if nuclear fuels were more efficient? It would prevent harmful byproducts from building up during plant operations. Increased burnup rates would mean less fissile waste — only around 6%) of fuel rods actually get used — and potentially decrease the costs of…...

EurekAlert!
eurekalert.org > news-releases > 1143165

Physics-aware AI could accelerate hydrogen storage materials discovery

4+ day, 1+ hour ago   (209+ words) Drawing on input from 69 researchers, an international research team has proposed a physics-aware framework to make AI-guided hydrogen storage materials discovery more reliable Credit: Seong-Hoon Jang et al. "Reliable AI-guided discovery in this field cannot come from faster predictions alone,…...

Mirage News
miragenews.com > ai-boosts-hydrogen-storage-materials-discovery-1740247

AI Boosts Hydrogen Storage Materials Discovery

4+ day, 21+ hour ago   (176+ words) "Reliable AI-guided discovery in this field cannot come from faster predictions alone," said Seong-Hoon Jang, Associate Professor at Tohoku University. "It requires physical constraints, transparent data, and continuous feedback from real experiments built into the process from the start." This…...

Google News
tohoku.ac.jp > en > press > physics_aware_ai_could_accelerate_hydrogen_storage_materials_discovery.html

Research News - Physics-Aware AI Could Accelerate Hydrogen Storage Materials Discovery | Tohoku University

4+ day, 21+ hour ago   (215+ words) Research News - Physics-Aware AI Could Accelerate Hydrogen Storage Materials Discovery tohoku.ac.jp - Physics-Aware AI Could Accelerate Hydrogen Storage Materials Discovery Hydrogen could help store renewable energy and power fuel cells, but storing it remains difficult because hydrogen gas has…...

BIOENGINEER.ORG
bioengineer.org > evolutionary-algorithm-reveals-stable-structures-of-gold-copper-clusters

Evolutionary algorithm reveals stable structures of gold-copper clusters

5+ day, 12+ hour ago   (53+ words) Bioengineer.org Subject of Research: Global structural optimization and stability of Au-Cu bimetallic nanoclusters using an improved Elite Niching Adaptive Differential Evolution algorithm with the Gupta potential. Article Title: Global structural optimization and stability study of Au-Cu bimetallic clusters based…...

BIOENGINEER.ORG
bioengineer.org > machine-learning-guides-mn-modified-biochar-design-for-cadmium-removal

Machine learning guides Mn-modified biochar design for cadmium removal

6+ day, 13+ hour ago   (72+ words) Cadmium contamination of water supplies remains one of the most stubborn environmental health problems of the industrial age, and a new study from researchers at the Chinese Academy of Agricultural Sciences suggests that artificial intelligence may finally provide a shortcut…...

AZoNano
azonano.com > news.aspx

Scientists Train AI to Build Custom Quantum Materials Atom by Atom

1+ week, 2+ day ago   (150+ words) The process is currently semi-automated because a human operator must still occasionally step in to condition or repair the microscope tip if it becomes unstable. Additionally, construction is time-sensitive; building the 37-molecule lattice required approximately 900 iterations over 25 hours, with each…...

Google News
app.decimal.ai > skills > brycewang-stanford-catalysis-hub-api

Catalysis Hub GraphQL API Guide · brycewang-stanford | DecimalAI

2+ week, 8+ hour ago   (231+ words) Install any skill in seconds. Free to start, no credit card required. The agent dataset lifecycle platform. Build, test, and refine AI skills at scale. Query computational catalysis reaction data via Catalysis Hub GraphQL Catalysis Hub is an open-access database…...

UConn Today
today.uconn.edu > 2026 > 08 > alexander-dupuys-approach-to-materials-science-processing-possibilities

Alexander Dupuy???s Approach to Materials Science: Processing Possibilities

2+ week, 4+ day ago   (993+ words) August 25, 2026 | Sarah Redmond UConn materials scientist Alexander Dupuy is exploring how new approaches to materials processing could unlock advances in technologies ranging from solid-state batteries to biomedical implants and more efficient engines. Materials are everywhere. They are in the batteries…...