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Deep neural networks have become the standard approach to building reliable Natural Language Processing (NLP) applications, ranging from Neural Machine Translation (NMT) to dialogue systems. However, improving accuracy by increasing the…

Computation and Language · Computer Science 2020-10-19 Matthew Khoury , Rumen Dangovski , Longwu Ou , Preslav Nakov , Yichen Shen , Li Jing

As Large Language Models (LLMs) continue to evolve, Mixture of Experts (MoE) architecture has emerged as a prevailing design for achieving state-of-the-art performance across a wide range of tasks. MoE models use sparse gating to activate…

Hardware Architecture · Computer Science 2025-10-08 Yue Pan , Zihan Xia , Po-Kai Hsu , Lanxiang Hu , Hyungyo Kim , Janak Sharda , Minxuan Zhou , Nam Sung Kim , Shimeng Yu , Tajana Rosing , Mingu Kang

Semiconducting monolayer of 2D material are able to concatenate multiple interesting properties into a single component. Here, by combining opto-mechanical and electronic measurements, we demonstrate the presence of a partial 2H-1T phase…

The concept of alloy engineering has emerged as a viable technique towards tuning the bandgap as well as engineering the defect levels in two-dimensional transition metal dichalcognides (TMDC). Possibility to synthesize these ultrathin TMDC…

Materials Science · Physics 2022-07-01 Shubhrasish Mukherjee , Didhiti Bhattacharya , Samit Kumar Ray , Atindra Nath Pal

Integrated optoelectronic systems strive to combine the logic/memory density of electronics with the bandwidth of photonics, but monolithic realization is impeded by the inefficient electronic-to-photonic interface. Current architectures…

Emerging AI accelerators increasingly adopt wafer-scale manufacturing technologies, integrating hundreds of thousands of AI cores in a mesh architecture with large distributed on-chip memory (tens of GB in total) and ultra-high on-chip…

Machine Learning · Computer Science 2025-06-02 Congjie He , Yeqi Huang , Pei Mu , Ziming Miao , Jilong Xue , Lingxiao Ma , Fan Yang , Luo Mai

Strongly bound excitons confined in two-dimensional (2D) semiconductors are dipoles with a perfect in-plane orientation. In a vertical stack of semiconducting 2D crystals, such in-plane excitonic dipoles are expected to efficiently couple…

The two-dimensional layer of molybdenum disulfide (MoS2) has recently attracted much interest due to its direct-gap property and potential applications in optoelectronics and energy harvesting. However, the synthetic approach to obtain high…

The ever-increasing data demand craves advancements in high-speed and energy-efficient computing hardware. Analog optical neural network (ONN) processors have emerged as a promising solution, offering benefits in bandwidth and energy…

Optics · Physics 2026-04-07 Chao Luan , Ronald Davis , Zaijun Chen , Dirk Englund , Ryan Hamerly

Second-order nonlinearity in solids gives rise to a plethora of unique physical phenomena ranging from piezoelectricity and optical rectification to optical parametric amplification, spontaneous parametric down-conversion, and the…

Integrating two-dimensional (2D) crystals into optical fibers can grant them optoelectronic properties and extend their range of applications. However, our ability to produce complicated structures is limited by the challenges of chemical…

Applied Physics · Physics 2018-07-03 Yi-feng Xiong , Jin-hui Chen , Fei Xu

Transition metal dichalcogenides (TMDs) are layered semiconducting van der Waal crystals and promising materials for a wide range of electronic and optoelectronic devices. Realizing practical electrical and optoelectronic device…

Mesoscale and Nanoscale Physics · Physics 2019-08-05 Hao Lee , S. Deshmukh , Jing Wen , V. Z. Costa , J. S. Schuder , M. Sanchez , A. S. Ichimura , Eric Pop , Bin Wang , A. K. M. Newaz

Transfer techniques based on two dimensional (2D) materials and devices offer immense potential towards their industrial integration with the existing silicon based electronics. To achieve high quality devices, there is an urgent…

Mesoscale and Nanoscale Physics · Physics 2023-09-18 Sameer Kumar Mallik , Roshan Padhan , Suman Roy , Mousam Charan Sahu , Sandhyarani Sahoo , Satyaprakash Sahoo

The rapid adoption of low-precision arithmetic in artificial intelligence and edge computing has created a strong demand for energy-efficient and flexible floating-point multiply-accumulate (MAC) units. This paper presents a dual-precision…

Hardware Architecture · Computer Science 2026-04-10 Shubham Kumar , Vijay Pratap Sharma , Vaibhav Neema , Santosh Kumar Vishvakarma

Low-dimensional multiferroicity, though highly scarce in nature, has attracted great attention due to both fundamental and technological interests. Using first-principles density functional theory, we show that ferromagnetism and…

Materials Science · Physics 2018-07-26 Jingshan Qi , Hua Wang , Xiaofang Chen , Xiaofeng Qian

Van der Waals (vdW) crystals are prone to twisting, sliding, and buckling due to inherently weak interlayer interactions. While thickness-controlled vdW structures have attracted considerable attention as ultrathin semiconducting channels,…

Two-dimensional layered materials, such as transition metal dichalcogenides (TMDs), possess intrinsic van der Waals gap at the layer interface allowing for remarkable tunability of the optoelectronic features via external intercalation of…

Materials Science · Physics 2024-11-25 Srihari M. Kastuar , Christopher Rzepa , Srinivas Rangarajan , Chinedu E. Ekuma

Two-dimensional materials have attracted considerable attention due to their remarkable electronic, mechanical and optical properties, making them prime candidates for next-generation electronic and optoelectronic applications. Despite…

The continuous scaling of semiconductor technology has pushed the footprint of logic devices below 50 nm. Currently, logic standard cells with one single fin are being investigated to increase the integration density, although such options…

Materials Science · Physics 2021-04-19 Tarun Agarwal , Youseung Lee , Mathieu Luisier

Integrating 2D materials onto on-chip photonic devices holds significant potential for nonlinear frequency conversion across various applications. The lack of inversion symmetry in monolayers of transition metal dichalcogenides (TMDs),…