26 papers · ranked by Valyu relevance
Anatoly Levenchuk
SEMAT/OMG Essence provides a powerful Language and a Kernel for describing software development processes. How can it be tweaked to apply it to systems engineering methods description? We must harmonize Essence and various systems engineering standards in order to provide a more formal system approach to obtaining a…
John W. Sheppard
This book is focused on the broad issues surrounding "realizing complex integrated systems." What do we mean by this? It might be helpful to break down our title, one word at a time. To do this, we start at the end. What is a "system"? We start this introductory chapter by addressing that question. We pose a number of…
Neel Kant
Continuing advances in frontier model research are paving the way for widespread deployment of AI agents. Meanwhile, global interest in building large, complex systems in software, manufacturing, energy and logistics has never been greater. Although AI-driven system engineering holds tremendous promise, the static…
Adrian Mondry
Based on a semester-long seminar on the topic, this book aims to fill a gap in the current engineering curricula by taking a wide-angle view at the process of engineering design rather than focusing on a more narrow and in-depth approach. As part of Artech House Publishers' technology management and professional…
John Meluso, Jesse Austin‐Breneman, James P. Bagrow, Laurent Hébert‐Dufresne
'Laurent Hébert‐Dufresne'] Abstract—Developing complex engineered systems (CES) poses significant challenges for engineers, managers, designers, and businesspeople alike due to the inherent complexity of the systems and contexts involved. Furthermore, experts have expressed great interest in filling the gap in theory…
Carsten Wiecher, Joel Greenyer, Carsten Wolff, Harald Anacker + 1 more
'Roman Dumitrescu'] Abstract. [Context & Motivation] Due to the managerial, operational and evolutionary independence of constituent systems (CSs) in a System of Systems (SoS) context, top-down and linear requirements engineering (RE) approaches are insufficient. RE techniques for SoS must support iterating, changing…
Amro M. Farid
Systems-of-Systems Authors: ['Amro M. Farid'] Our modern life has grown to depend on many and nearly ubiquitous large complex engineering systems. Many disciplines now seemingly ask the same question: "In the face of assumed disruption, to what degree will these systems continue to perform and when will they be able to…
Brian M. Kleiner, Lawrence J. Hettinger, David M. DeJoy, Yuang-Hsiang Huang + 1 more
'Yuang-Hsiang Huang' 'Peter E.D. Love'] Theoretical and practical approaches to safety based on sociotechnical systems principles place heavy emphasis on the intersections between social-organisational and technical-work process factors. Within this perspective, work system design emphasises factors such as the joint…
Yalin Li, John Trimmer, Steven Hand, Xinyi Zhang + 6 more
The pursuit of sustainability has catalyzed broad investment in the research, development, and deployment (RD&D) of innovative water, sanitation, and resource recovery technologies, yet the lack of transparent and agile methodologies to navigate the expansive landscape of technology development pathways remains a…
Bradley Brown, Christian Atallah, James Alastair McLaughlin, Göksel Misirli + 8 more
Synthetic biology aims to improve the development of biological systems and in-crease their reproducibility through the use of engineering principles, such as stan-dardisation and modularisation. It is important that these systems can be represented and shared in a standard way to ensure they are easily understood…
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…
Ania-Ariadna Baetica, Yoke Peng Leong, Noah Olsman, Richard M. Murray
Integral control is commonly used in mechanical and electrical systems to ensure perfect adaptation. A proposed design of integral control for synthetic biological systems employs the sequestration of two biochemical controller species. The unbound amount of controller species captures the integral of the error between…
Lindsay Robertson, Alan Bond
Technological systems have become progressively more complex, indispensable and ubiquitous, as has the inevitability of failures. These appreciations have generated increased interest in resilience. At present, the resilience of technological systems is highly dependent on ad-hoc and abstract problem solving provided…
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…
Víctor de Lorenzo
Synthetic biology is not only a contemporary reformulation of the recombinant DNA technologies of the last 30 years, combined with descriptive language imported from electrical and industrial engineering. It is also a new way to interpret living systems and a statement of intent for the use and reprogramming of…
Zhang Cheng, Avner Ronen, Heyang Yuan
Mechanistic models can provide predictive insight into the design and optimization of engineered biological systems, but the kinetic parameters in the models need to be frequently calibrated and uniquely identified. This limitation can be addressed by integrating mechanistic models with data-driven approaches, a…
John P. Marken, Fangzhou Xiao, Richard M. Murray
Much of the progress in developing our ability to successfully design genetic circuits with predictable dynamics has followed the strategy of molding biological systems to fit into conceptual frameworks used in other disciplines, most notably the engineering sciences. Because biological systems have fundamental…
Jones Yeboah, Izunna Okpala, Sylvia Azumah, Victor Adewopo + 1 more
'Hazem Said'] This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,broadcasting, reproduction on microfilms or in any other physical way, and…
Iman Farasat, Manish Kushwaha, Jason Collens, Michael Easterbrook + 2 more
Engineering multi-protein genetic systems to maximize their performance remains a combinatorial challenge, particularly when measurement throughput is limited. We have developed a computational design and modeling approach to build predictive models and identify optimal expression levels, while circumventing…
Mark R Riley
Welcome to Journal of Biological Engineering (JBE), the flagship publication of the Institute of Biological Engineering. Biological Engineering is a new and unique discipline that encompasses a wide range of engineering theory and practice connected to and derived from biology. This emerging science-based engineering…
Authors not listed
Digital twins are virtual companions for the design, scale-up, and control of chemical processes. Equipping digital twins with mechanistic models of their mirrored unit operation expands their range of applicability compared to pure data-driven models. As constructing mechanistic models requires time, effort, and…
Pieter van Gelder, Pim Klaassen, Behnam Taebi, Bart Walhout + 16 more
'Ruud van Ommen' 'Ibo van de Poel' 'Zoe Robaey' 'Lotte Asveld' 'Ruud Balkenende' 'Frank Hollmann' 'Erik Jan van Kampen' 'Nima Khakzad' 'Robbert Krebbers' 'Jos de Lange' 'Wolter Pieters' 'Karel Terwel' 'Eelco Visser' 'Tiny van der Werff' 'Dick Jung' 'Derek Clements-Croome'] In this paper, we provide an overview of how…
Lindsay M Edwards, Ines Thiele
Systems biology is defined in this review as ‘an iterative process of computational model building and experimental model revision with the aim of understanding or simulating complex biological systems’. We propose that, in practice, systems biology rests on three pillars: computation, the omics disciplines and…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Authors not listed
The exponentially growing body of scientific literature has made manual synthesis and hypothesis generation increasingly impractical, introducing an essential bottleneck in the scientific discovery pipeline. While large language models (LLMs) have unprecedented capability to process and summarize textual knowledge…
Shangying Wang, Sara Capponi, Simone Bianco
Biological systems are inherently noisy so that two genetically identical cells in the exact same environment will sometimes behave in dramatically different ways. This imposes a big challenge in building traditional supervised machine learning models that can only predict determined phenotypic variables or categories…