Rihui Kang

ORCID: 0000-0003-4671-0641
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About
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Research Areas
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • 3D Printing in Biomedical Research
  • Nanofabrication and Lithography Techniques
  • Biotin and Related Studies
  • Additive Manufacturing and 3D Printing Technologies
  • Biomedical and Engineering Education
  • Constructed Wetlands for Wastewater Treatment
  • Advancements in Photolithography Techniques
  • Click Chemistry and Applications
  • Microplastics and Plastic Pollution
  • 3D IC and TSV technologies
  • Molecular Junctions and Nanostructures
  • Monoclonal and Polyclonal Antibodies Research

Taiyuan University of Technology
2024-2025

Qingdao University of Technology
2025

Agency for Science, Technology and Research
2010-2024

Institute of Microelectronics
2024

Abstract The crosslinking method of bioinks is essential for scaffold formation in 3D bioprinting. Currently, the process presents challenges control, resulting diminished stability and reliability gel presence residual agents that may adversely affect cell viability within gel. This study utilizes sodium alginate as printing ink calcium chloride agent, employing a dual‐mode bioprinter alternating printing. A agent injected through solenoid valve after using an extrusion‐based to create...

10.1002/mabi.202500039 article EN Macromolecular Bioscience 2025-04-24

Abstract 3D bioprinting technology is widely used in biomedical fields such as tissue regeneration and constructing pathological model. The prevailing printing technique extrusion‐based bioprinting. In this method, the bioink needs to meet both printability functionality, which are often conflicting requirements. Therefore, study has developed an innovative microvalve‐based equipment, incorporating components pressure control, a three‐dimensional motion platform, microvalve. Here, we present...

10.1002/bit.28850 article EN Biotechnology and Bioengineering 2024-09-17
Yann Zimmermann Adib Bazgir Zartashia Afzal Fariha Agbere Qianxiang Ai and 95 more Nawaf Alampara Alexander Al-Feghali Mehrad Ansari Dmytro Antypov Amro Aswad Jie Bai Viktoriia Baibakova Devi Dutta Biswajeet Erik Bitzek Joshua D. Bocarsly Anna S. Borisova Andres M Bran L. Catherine Brinson Marcelo Calderón Alessandro Canalicchio Victor Chen Yuan Chiang Defne Çırcı Benjamin Charmes Vikrant Chaudhary Zizhang Chen Min–Hsueh Chiu Judith Clymo Kedar Dabhadkar Nathan Daelman Archit Datar Matthew L. Evans Maryam Fard Giuseppe Fisicaro Abhijeet Gangan Janine George Johan R. González-Moya Miriam Götte Ankur K. Gupta Hassan Harb Pengyu Hong Amr Awad Ibrahim Azhar Ilyas Alishba Imran Kevin Ishimwe Ramsey Issa Kevin Maik Jablonka C. H. W. Jones Tyler R. Josephson Gergely Juhász Sahil Kapoor Rihui Kang Ghazal Khalighinejad S. A. KHAN Sascha Klawohn Suneel Kuman Alvin Noe Ladines S. Leang Magdalena Lederbauer Shaoan Liao Hao Liu Xuefeng Liu Stanley Lo Sandeep Madireddy Piyush Ranjan Maharana Shagun Maheshwari Soroush Mahjoubi J.A. Marquez Rob Mills Trupti Mohanty Bernadette Mohr Seyed Mohamad Moosavi Alexander Moßhammer Amirhossein D. Naghdi Aakash Ashok Naik Oleksandr Narykov Hampus Näsström Xuan Nguyen Xinyi Ni Dana O’Connor Teslim Olayiwola Federico Ottomano Aleyna Beste Ozhan Sebastian Pagel Chandanlal Parida Jaehee Park Vraj Patel Elena Patyukova Mads Dines Petersen Luís Abegão Pinto José M. Pizarro Dieter Plessers Trilochan Pradhan Utkarsh Pratiush Charishma Puli Anquan Qin Mohammad Rajabi Francesco Ricci Elliot Risch Martiño Ríos-García

Here, we present the outcomes from second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hybrid locations, resulting 34 team submissions. The submissions spanned seven key application areas demonstrated diverse utility of LLMs applications (1) molecular material property prediction; (2) design; (3) automation novel interfaces; (4) scientific communication education; (5) research data management automation;...

10.48550/arxiv.2411.15221 preprint EN arXiv (Cornell University) 2024-11-20

Interactions between cells and surface-immobilized gradients of biomolecules provide a tool for discerning key parameters that direct cell behaviour. The implementation tuneable, grafted polymer scaffold on polystyrene poly(ethylene terephthalate) is described. This developed by UV-ozone activation the surface, followed in situ 'grafting from' acrylic acid (AA). Wide ranges poly(acrylic acid) (pAA) graft densities lengths are explored quantifying surface density carboxylic (–COOH) groups....

10.1163/016942409x12598231568140 article EN Journal of Adhesion Science and Technology 2010-01-01
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