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Trinh Tran

1 articles · 2 co-authors · latest: 2026-07-14
19 citations · h-index 3 · 5 papersData: Semantic Scholar
Binh Nguyen · Truong X. Nghiem

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

active learning · boosted decision tree · emergent complexity modeling · ensemble forecast · hamiltonian monte carlo · machine learned interatomic potential · metropolis hastings algorithm · molecular dynamics acceleration · Monte Carlo methods · parallel processing · parameter · protein language model · Reinforcement Learning · reservoir computing · self-supervised learning · Stochastic modeling · support vector machine · xgboost · Recurrent Neural Networks · entropy
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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math.OC2026-07-141 minarXiv:2607.12775express
Smart Acceleration: Teaching the Power Grid to Think Faster
Power systems with solar panels and wind turbines are like a chess game: cloud cover and load changes are the opponent's moves, impossible to foresee. To maintain balance, operators used to run through dozens of scenarios (uncertainty) — that took too much time and computing power.
Trinh Tran·Binh Nguyen·Truong X. Nghiem
Recurrent Neural Networksentropy
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