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Shengjie Tang

1 articles · 2 co-authors · latest: 2026-03-08
23 citations · h-index 3 · 11 papersData: Semantic Scholar
Zihan Yan · Yizhou Zhu

We have retold 1 papers by this author. most often about: entropy, thermal conductivity. 2 co-authors across our retellings.

capacity · classifier · dataset · electrolyte transport · labeled data · machine learned interatomic potential · machine learning materials · magnetic field strength · magnetic flux density · maximum likelihood estimation · neural network physics modeling · Reinforcement Learning · rmse · solid state battery · strength · training · training data · transfer learning · velocity field · volt per metre
second law of thermodynamics · Bekenstein-Hawking entropy · Boltzmann distribution · first law of thermodynamics · AdS/CFT correspondence · holographic principle · fluctuation-dissipation theorem · law of conservation of energy · zeroth law of thermodynamics · third law of thermodynamics · Landauer's principle · Lindblad equation · Carnot's theorem · Hawking area theorem · Fokker–Planck equation · Boltzmann equation · equipartition theorem · principle of maximum entropy · ergodic theorem · Liouville's theorem
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Materials2026-03-081 minarXiv:2603.07425express
Solid-State Batteries: The Secret Isn't in Data Volume
In a regular battery, the electrolyte is liquid, and charged particles (ions) move freely. In the solid-state version, they squeeze through atomic 'corridors', like pedestrians in narrow passages. For a battery to work quickly, you need a material with high ionic conductivity.
Zihan Yan·Shengjie Tang·Yizhou Zhu
Alain AspectAlan GuthAlbert Einsteinentropythermal conductivity
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