Publications related to Industrial design

Machine learning-aided generative molecular design

Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...

Nature Portfolio2024

The magnet feeders for the European DEMO fusion reactor: Conceptual design and recent advances

Rainer Wesche, Roberto Guarino, Frédéric Michel

The magnet feeders are part of the critical systems of a fusion reactor since they represent the interface between the in-cryostat components at 4.5 K and the room-temperature cryogenic plant and power supply. The European DEMO tokamak foresees 16 toroidal ...

Lausanne2024

Haven of Adeptness

Victoria Hatsenko

The question of collaboration between architectural elements and everyday objects occupying these spaces have been prominent in the architectural discourse. The research project titled Scales of Design, the role of industrial design was examined across var ...

2023

Computational design and additive manufacturing of electromagnetic coils

Adrien Jean-Michel Thabuis

The modern world is heavily reliant on electromagnetic devices to convert mechanical energy into electrical energy and vice versa. These devices are fundamental to powering our society, and the growing need for automated production lines and electrified tr ...

EPFL2023

Investigation of Electro-Nuclear Spin States in LiHoF4 Using Cavity-Magnon-Polariton Technique

Yikai Yang

LiReF

_4

("Re" stands for the rare-earth element) and their doped derivatives have long been recognized as a family of compounds that exhibit rich phenomena in quantum magnetism, drawing wide attention to them from both fundamental researchers and industr ...

EPFL2023

DATED: GUIDELINES FOR CREATING SYNTHETIC DATASETS FOR ENGINEERING DESIGN APPLICATIONS

Jürg Alexander Schiffmann, Cyril Picard, Faez Ahmed

Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significan ...

Amer Soc Mechanical Engineers2023

Recent progress in calcium looping integrated with chemical looping combustion (CaL-CLC) using bifunctional CaO/CuO composites for CO2 capture: A state-of-the-art review

Oliver Kröcher, Yuxin Ma, Muhammad Awais Naeem, Hui Zhou, Hongyu Zhu

Calcium looping integrated with chemical looping combustion (CaL-CLC) process is an efficient and cost-effective CO2 capture technology. In this technique, the heat generated by chemical looping combustion of CuO is used insitu to calcine CaCO3, thus avoid ...

ELSEVIER SCI LTD2023

How to Decarbonize Our Energy Systems: Process-Informed Design of New Materials for Carbon Capture

Berend Smit, Susana Garcia Lopez

Decarbonisation from a variety of industrial and power emission sectors highlights a marked need for capture technologies that can be optimized for different CO2 sources and integrated into an equally diverse range of applications of captured CO2 as a feed ...

WILEY-V C H VERLAG GMBH2023

Reinforcement learning for scaffold-free construction of spanning-structures

Maryam Kamgarpour, Stefana Parascho, Gabriel Rémi Vallat, Anna Maria Maddux, Jingwen Wang

In construction robotics, a conventional design-to-fabrication work-flow starts with designing a structure, followed by task and robotic motion planning, and ultimately, fabrication. However, this approach can prove unsuccessful, as we may only discover th ...

2023

Delivery of mRNA for cancer therapy: progress and prospects

Yi Wang

Synthetic messenger RNA (mRNA)-based therapeutics have emerged as promising candidates for the prevention and treatment of a wide range of diseases and disorders. mRNA possesses notable advantages, including exceptional safety, the capacity to replace vari ...

Oxford2023

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Machine learning-aided generative molecular design

The magnet feeders for the European DEMO fusion reactor: Conceptual design and recent advances

Haven of Adeptness

Computational design and additive manufacturing of electromagnetic coils

Investigation of Electro-Nuclear Spin States in LiHoF4 Using Cavity-Magnon-Polariton Technique

DATED: GUIDELINES FOR CREATING SYNTHETIC DATASETS FOR ENGINEERING DESIGN APPLICATIONS

Recent progress in calcium looping integrated with chemical looping combustion (CaL-CLC) using bifunctional CaO/CuO composites for CO2 capture: A state-of-the-art review

How to Decarbonize Our Energy Systems: Process-Informed Design of New Materials for Carbon Capture

Reinforcement learning for scaffold-free construction of spanning-structures

Delivery of mRNA for cancer therapy: progress and prospects

Investigation of Electro-Nuclear Spin States in LiHoF4 Using Cavity-Magnon-Polariton Technique

The magnet feeders for the European DEMO fusion reactor: Conceptual design and recent advances

Machine learning-aided generative molecular design

Reinforcement learning for scaffold-free construction of spanning-structures

How to Decarbonize Our Energy Systems: Process-Informed Design of New Materials for Carbon Capture

Haven of Adeptness

Computational design and additive manufacturing of electromagnetic coils

DATED: GUIDELINES FOR CREATING SYNTHETIC DATASETS FOR ENGINEERING DESIGN APPLICATIONS

Delivery of mRNA for cancer therapy: progress and prospects

Recent progress in calcium looping integrated with chemical looping combustion (CaL-CLC) using bifunctional CaO/CuO composites for CO2 capture: A state-of-the-art review