works on

From the 6 of 37 papers with an AI index.

most citedPlanning Waste-to-Energy-Coupled AI Data Centers Through Grade-Matched Cooling and Corridor Screening

8 citations

37 papers

math.RA2026

Fully non-zero matrices and generators of full algebras of operators

Laurent W. Marcoux, Heydar Radjavi, Bamdad R. Yahaghi +1

In a wide variety of fields, every non-scalar matrix is similar to a matrix all of whose entries are non-zero. We give extensions of this result, including some in the division…

eess.SY20268 cited

Planning Waste-to-Energy-Coupled AI Data Centers Through Grade-Matched Cooling and Corridor Screening

Qi He, Chunyu Qu, Wenjie Zuo

The paper proposes a screening framework that uses waste‑to‑energy plant heat to provide cooling for AI data centers, evaluating how far the thermal energy can be delivered along a…

math.DS2026

Exponential convergence can happen in weighted Birkhoff averages via quasi-periodicity with arbitrary nonresonance and low regularity

Zhicheng Tong

Since Krengel's work [Kre78] in 1978, it has been widely known that no effective rate of convergence exists in the ergodic theorem. For toral translations, however, by choosing app…

math.OC2026

Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

Cande Lian, Wentao Zeng, Jiabin Wu +2

Reliable electric vehicle (EV) charging infrastructure is a cornerstone of sustainable, low-carbon cities, yet urban climate stress such as extreme heat, heavy precipitation, and h…

hep-ex2026

Measurement of the double Dalitz decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +689

The BESIII experiment measured the rare decay of the eta meson into two electron-positron pairs, determining its branching fraction to be about 2.6 × 10⁻⁵.

math.OC2026

Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

Wentao Zeng, Zijian Huang, Yiming Bie +2

The paper introduces a time‑aware tabular deep learning model to predict inter‑stop energy consumption for dual‑source trolleybuses and provides a causal analysis of the factors in…