24 papers · ranked by Valyu relevance
Xingang Guo, Yaxin Li, Xiangyi Kong, Yilan Jiang + 75 more
Xingang Guo 1 ∗†, Yaxin Li 1 ∗ , Xiangyi Kong 1 ∗ , Yilan Jiang 1 ∗ , Xiayu Zhao 1 ∗ , Zhihua Gong 1 ∗ , Yufan Zhang 1 ∗ , Daixuan Li 1 , Tianle Sang 1 , Beixiao Zhu 1 , Gregory Jun 1 , Yingbing Huang 1 , Yiqi Liu 1 , Yuqi Xue 1 , Rahul Dev Kundu 1 , Qi Jian Lim 1 , Yizhou Zhao 2 , Luke Alexander Granger 1 , Mohamed…
Florian Felten, Gabriel Apaza, Gerhard Bräunlich, Cashen Diniz + 8 more
Engineering design optimization seeks to automatically determine the shapes, topologies, or parameters of components that optimize performance under given conditions. This process often depends on physics-based simulations, which are difficult to install, computationally expensive, and require domain-specific…
Shuo Jiang, Serhad Sarica, Binyang Song, Jie Hu + 1 more
Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data science present unprecedented opportunities to develop data-driven design methods and…
Ke Wang, Yifan Tang, Hoang Nguyen Vu, Faez Ahmed + 1 more
Deep generative models for engineering design often require substantial computational cost, large training datasets, and extensive retraining when design requirements or datasets change, limiting their applicability in real-world engineering design workflow. In this work, we propose a zero-shot generation framework for…
Zeda Xu, Nikolas Martelaro, Christopher McComb
With generative AI-powered design tools, designers and engineers can efficiently generate large numbers of design ideas. However, efficient exploration of these ideas requires designers to select a smaller group of potential solutions for further development. Therefore, the ability to judge and evaluate designs is…
Marcian Cirstea, Khaled Benkrid, Andrei Dinu, Romeo Ghiriti + 2 more
This paper reviews the evolution of methodologies and tools for modeling, simulation, and design of digital electronic system-on-chip (SoC) implementations, with a focus on industrial electronics applications. Key technological, economic, and geopolitical trends are presented at the outset, before reviewing SoC design…
Jacob Beal, Brian Teague, John T. Sexton, Sebastian Castillo-Hair + 4 more
Reliable, predictable engineering of cellular behavior is one of the key goals of synthetic biology. As the field matures, biological engineers will become increasingly reliant on computer models that allow for the rapid exploration of design space prior to the more costly construction and characterization of candidate…
Jose Cornejo, Alfredo Weitzenfeld, José Baca, Cecilia E. García Cena + 2 more
The origin of life initiated an evolutionary continuum yielding biologically optimized systems capable of operating under extreme environmental constraints. Biomimetics, defined as the systematic abstraction and transfer of biological principles into engineering domains, has become a strategic design paradigm for…
Ronghua Meng, Yuxiang Tian, Siwei Huang, Sunny Narayan
This paper presents an improved egg carrier for supporting common types of eggs during an egg slit inspection platform opeations. The carrier conveys the eggs forwards to the inspection position. The egg carrier consists of three basic modules and has the advantages of adaptability, adjustability, low maintenance and…
Samuel M. D. Oliveira, Douglas Densmore
Synthetic biology is the process of forward engineering living systems. These systems can be used to produce biobased materials, agriculture, medicine, and energy. One approach to designing these systems is to employ techniques from the design of embedded electronics. These techniques include abstraction, standards…
Anna Matuszyńska, Oliver Ebenhöh, Matias D. Zurbriggen, Daniel C. Ducat + 1 more
Synthetic biology designs and constructs new biological parts, devices and systems with predetermined functionalities. With the unlimited ability to synthesise any DNA and RNA and transfer it to almost any organism, we are at the dawn of a new era in which biology is being recreated in ways never before possible. It…
Leonardo Giannantoni, Roberta Bardini, Stefano Di Carlo
Biofabrication processes are complex and often unsatisfactory. Trial-and-error methods are costly and yield only incremental innovation, starting from sub-optimal and poorly represented existing processes. Although computational techniques might support efficient process design to find optimal process configurations…
Lijun Xu, Jun Gao, Lu Chen, Guodong Liang + 1 more
A master's degree program in “new liberal arts” is a great opportunity to strengthen cooperation between art colleges and universities, to promote the construction of product design and digital molding majors, and to promote teaching and research on the “integration” of the theoretical foundations of engineering…
Carmen Rotondi
In the “century of biotechnology”, a new form of “bio-digital industry” is emerging in which, thanks to increasingly sophisticated and digitized technologies that allow engineering and production on a biological quantum scale, it is possible to analyze and reproduce the generative, chemical, physical, and molecular…
Authors not listed
Experimental design plays an important role in efficiently acquiring informative data for system characterization and deriving robust conclusions under resource limitations. Recent advancements in high-throughput experimentation coupled with machine learning have notably improved experimental procedures. While Bayesian…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Katie Fan
Metabolic engineering in plants has emerged as a powerful approach to address global challenges in agriculture, nutrition, and sustainability. This comprehensive review explores cutting-edge strategies for manipulating primary and secondary metabolic pathways in plants, utilizing advanced genetic modification tools to…
Charlotte Merzbacher, Oisin Mac Aodha, Diego A. Oyarzún
Recent advances in synthetic biology have enabled the construction of molecular circuits that operate across multiple scales of cellular organization, such as gene regulation, signalling pathways and cellular metabolism. Computational optimization can effectively aid the design process, but current methods are…
Alberto Castrignanò, Roberta Bardini, Alessandro Savino, Stefano Di Carlo
Tissue Engineering and Regenerative Medicine aim to replicate and replace tissues for curing disease. However, full tissue integration and homeostasis are still far from reach. Biofabrication is an emerging field that identifies the processes required for generating biologically functional products with the desired…
Michal Kobiela, Diego A. Oyarzún, Michael U. Gutmann
Synthetic biology aims to engineer biological systems with specified functions. This requires navigating an extensive design space, which is challenging to achieve with wet lab experiments alone. To expedite the design process, mathematical modelling is typically employed to predict circuit function in silico ahead of…
Authors not listed
This review paper summarizes recent advances in programmable hydrogels, emphasizing their synthesis, characterization, and wide range of applications in medicine and agriculture. Hydrogels, three-dimensional, hydrophilic polymer networks capable of absorbing enormous amounts of water, exhibit exceptional mechanical…
Yan C. Leyva, Marcelo D. T. Torres, Carlos A. Oliva, Cesar de la Fuente-Nunez + 1 more
Computational protein and peptide design is emerging as a transformative framework for engineering macromolecules with precise structures and functions, offering innovative solutions in medicine, biotechnology, and materials science. However, current methods predominantly rely on generative models, which are expensive…
Chia-Wei Hsu, Terra Williams, Xiang Yu
3D printing has been applied to multiple areas since 1980. Biomedical applications have grown significantly and become the mainstream of 3D printing applications. In this review, we elucidated the publication distribution of biomedical 3D printing using the CAS Content Collection. From 2010 to 2021, journal and patent…
Marta Chronowska, Michael J. Stam, Derek N. Woolfson, Luigi F. Di Constanzo + 1 more
The field of protein design has changed dramatically over the last 40 years, with a range of methods developing from rational design to more recent data-driven approaches. While considerable insight could be gained from analysing designed proteins, there is no single resource that brings together all the relevant data…