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Turning "dirty" scrap metal into super-metal: the incredible AI discovery

Translated title. Original: Transformer de la ferraille « sale » en super-métal : l'incroyable trouvaille de l'IA

AI-guided design selects alloy compositions from metal scrap, balancing strength and ductility. It uses two large data sets, simulates processing conditions, predicts mechanical properties, iterates with additional data, and refines recommendations based on experimental results.

Metals and artificial intelligence: automated tests to identify more resistant steels

Translated title. Original: Metalli e intelligenza artificiale: test automatizzati per individuare acciai più resistenti

A 2026 study describes an automated, AI-assisted workflow for testing heavy metals, linking composition, thermal history, and microstructure to mechanical properties, to efficiently identify promising processing conditions while enabling adaptive experimentation and broader material applications.

eBook | Machine learning in materials science - Philosophical Magazine

ML and computational methods are accelerating materials science by predicting properties, optimizing compositions, and expanding alloy design through data-driven insights; the eBook aggregates peer-reviewed works illustrating these advances and their collaboration with traditional experiments.

AM Pioneers presents the advances in binder jetting, micro 3D printing, and ceramic manufacturing

Translated title. Original: Az AM Pioneers bemutatja a binder jetting, a mikro-3D-nyomtatás és a kerámia-gyártás terén elért fejlődést

Industry-focused open day highlighted how additive manufacturing advances—from graphite and micro-3D printing to metal binder jetting and technical ceramics—are moving toward stable, reproducible serial production, with emphasis on material properties, process validation, and integrated post-processing.

[2610.31924] Sub-monolayer tracking of molecular states at buried interfaces

The document presents a machine learning–driven optical model to extract quantitative, depth-resolved molecular orientation, identity, and packing from polarized resonant soft X-ray scattering of thin films, revealing a gradient from interface and challenging substrate-patterning ideas. This nondestructive method enables sub-monolayer insight into buried interfaces, with implications for controlling interfacial states in future technologies.

[2610.37152] Cu intercalation and field-driven filament formation in vertically aligned MoS$_2$ memristors

A multi-scale computational study of Cu-intercalated vertically aligned MoS2 memristors reveals a stable Cu0.11 structure forming a dice lattice between MoS2 layers, supporting metallic pathways that enable filament-based memristive switching. The workflow—DFT-informed ML force field plus kinetic Monte Carlo—produces switching characteristics that agree with experiments and offers guidance to improve speed and endurance.

Glass Substrates in Advanced Packaging: Benefits and Uses

Glass substrates enable high-density AI/HPC packaging with stable dimensions and good signal integrity; industry needs to address manufacturing and standardization, with Lam Research providing panel processing solutions to scale glass-based packaging from temporary carriers to potential permanent glass-core substrates.

AI Materials Startup NanoForge AI Raises USD 11M Seed Round Led by Mirae Asset Venture Investment - WOWTALE

NanoForge AI secured an USD 11 million Seed round led by Mirae Asset Venture Investment, with existing and new investors participating, bringing total funding to over USD 11.4 million. The company, which uses atomic-level AI to predict material properties, aims to accelerate materials development from years to about a month, and to build an autonomous lab for robot-assisted materials research, supported by KAIST advisors and industry partners.

SimPoly: Simulation of polymers with machine learning force fields derived from first principles | Nature Communications

The article presents SimPoly, a method for polymer simulations using machine-learning force fields derived from first principles. Its open-access license permits credited, non-commercial sharing but bars distribution of adapted material.

From the oven to the iPhone Duo: this is how the titanium of Apple's first foldable phone is made - Infobae

Translated title. Original: Del horno al iPhone Duo: así se fabrica el titanio del primer teléfono plegable de Apple - Infobae

Apple plans a titanium-based iPhone Duo, produced in partnership with Perryman in Pennsylvania, with at least 80% recycled content and a $100 million investment over three years; the process spans melting, forging, and hot rolling, using Ti-6Al-4V alloy, and highlights an aging supply chain while showcasing the metal’s path to the device.