RUI ZHU

Mar 28, 2025 | nature.com | Han Li |Xiaojun Tan |Linlin You |RUI ZHU |Wenqi Fan |Haohao Qu

The recent surge in electric vehicles (EVs), driven by a collective push to enhance global environmental sustainability, has underscored the significance of exploring EV charging prediction. To catalyze further research in this domain, we introduce UrbanEV — an open dataset showcasing EV charging space availability and electricity consumption in a pioneering city for vehicle electrification, namely Shenzhen, China. UrbanEV offers a rich repository of charging data (i.e., charging occupancy, duration, volume, and price) captured at hourly intervals across an extensive six-month span for over 20,000 individual charging stations. Beyond these core attributes, the dataset also encompasses diverse influencing factors like weather conditions and spatial proximity. Comprehensive experiments have been conducted to showcase the predictive capabilities of various models, including statistical, deep learning, and transformer-based approaches, using the UrbanEV dataset. This dataset is poised to propel advancements in EV charging prediction and management, positioning itself as a benchmark resource within this burgeoning field.

Oct 14, 2024 | nature.com | Rui Su |RUI ZHU |Deying Luo |Pengru Huang |Linjie Dai |Pietro Caprioglio | +16 more

AbstractObtaining micron-thick perovskite films of high quality is key to realizing efficient and stable positive (p)-intrinsic (i)-negative (n) perovskite solar cells1,2, but it remains a critical challenge. Here, we report an effective method for producing high-quality, micron-thick formamidinium-based perovskite films by forming coherent grain boundaries, where high-Miller-index-oriented grains grow on the low-Miller-index-oriented grains in a stabilized atmosphere.

Sep 2, 2024 | mdpi.com | RUI ZHU |Kaili Ma |Xiyu Chen |Jingjing Zhao

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Aug 1, 2024 | jitc.bmj.com | Tingting Feng |Qian Li |RUI ZHU |Chang Yu

DiscussionLike previous studies, the present research demonstrated that neoadjuvant chemoimmunotherapy has favorable safety and efficacy in the treatment of ESCC. The pCR rates varied from 20% to 39.2% in different studies.11 12 14 The present study represents the largest sample size reported to date for neoadjuvant chemoimmunotherapy for ESCC. The pCR rate was ~20%. Predicting pCR in ESCC is crucial as it relates to the strategy of operation or organ preservation treatment.

Oct 24, 2023 | arxiv.org | Siyuan Tang |RUI ZHU |Shijun Yan |Lei Jin

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