output
20022026
most cited2D materials and van der Waals heterostructures

7.4k citations

4,016 papers

cs.AI2026

Contagion on the Trading Floor: How Adversarial Signals Spread in Multi-Agent Trading Systems

Qi Rong Sua, Junhao Dong, Nguyen Duc Thai +3

Multi-agent trading systems built on large language models (LLMs) are beginning to appear in quantitative finance, yet their robustness to adversarial inputs is largely unknown. We…

cs.RO2026★ 2 cited

A Comprehensive Review of Generative Physical Artificial Intelligence

Satyam Gaba, Krutiksinh Rana, Siva Sai +2

The integration of large-scale foundation models with physical embodiments has led to significant advancements in robotics known as Generative Physical Artificial Intelligence (GPA…

physics.optics2026

Integrated Photonic Devices in Thin-Film Barium Titanate: Opportunities and Challenges

Hong-Lin Lin, Minghao Shang, Yuhui Yin +3

Thin-film barium titanate (BaTiO3, or BTO) has emerged as a promising electro-optic (EO) material for integrated photonics due to its exceptionally large Pockels coefficients, low…

cs.AR2026★ 2 cited

A 420 GOPS/W CGRA with a Configurable MAC and Dynamic Truncation

Yi Sheng Chong, Rakshith Harish, Rajesh Chandrasekhara Panicker +2

Edge devices demand for highly efficient yet flexible processing capability to handle dynamic real-time workloads. Coarse grain reconfigurable architecture (CGRA) emerges as a suit…

cs.DC2026

Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs

Yujie Zhang, Huiying Lan, Ehsan Aghapour +5

As edge-based deep learning applications become more complex, optimizing performance on heterogeneous System-on-Chips (SoCs) presents unique challenges. Traditional pipelining tech…

math.ST2026★ 2 cited

Spectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference

Huiqin Li, Guangming Pan, Yanqing Yin +1

Motivated by the statistical inference using the Gram matrix in the context of missing at random observations, this paper investigates the spectral properties of the random matrice…