Di Zhang

4 articles · 30 co-authors · latest: 2026-07-14
21 citations · h-index 3 · 7 papersData: Semantic Scholar

We have retold 4 papers by this author. 1 of them with a full read. most often about: graphene, carbon, hydrogen. 30 co-authors across our retellings.

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Mesoscale2026-01-221 minarXiv:2601.16015express
Graphene Sandwich Accelerates Electrons
Graphene is a carbon sheet just one atom thick, a fantastic conductor. But its surface is crinkly, like a wrinkled tablecloth that hasn't been ironed. Scientists built a 'sandwich': two of these sheets pressed together with a non-conductive spacer in between. They iron out each other's folds, like two halves of a sandwich making the surface perfectly even.
Materials2026-03-142 minarXiv:2603.14139express
Hydrogen Under Control: A Database for New Materials
Hydrogen is a champion in energy per kilogram, but storing it is a hassle. As a gas, it takes up a huge volume, and if you compress it or cool it to a liquid, you need heavy tanks and lots of energy. There's a third way: some solid materials absorb hydrogen like a sponge soaks up water and hold it within. Heat it up, hydrogen comes out; cool it down, it gets absorbed back.
Materials2026-06-233 minarXiv:2606.24480
Roadmap for Ions: How AI Paves the Way to the Batteries of the Future
A solid electrolyte is not just a crystal lattice: it’s a bustling metropolis for ions. Each act of conduction resembles a trip through the city: there are wide highways with low energy barriers, gridlocks in bottlenecks, and tricky detours where an ion can get stuck.
Signal Processing2026-07-141 minarXiv:2607.12744express
Position-savvy neural network improves connectivity
In a kitchen with gas burners, each heats differently. If the cook moves the pots, food may burn. Just so in a wireless network: the antenna-burners and user-pots require precise placement. Ordinary neural networks don’t distinguish positions, treating all burners as identical. So they struggle to estimate signal quality or adjust transmission.