Engineering enterprise through intellectual property education - pedagogic approaches [PDF]
Engineering faculties, despite shrinking resources, are delivering to new enterprise agendas that must take account of the fuzzying of disciplinary boundaries.
Childs, B. +3 more
core
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Intellectual Property (IP) Informatics for Strategic Decision Making
Poster at the First Year Conference (FYC) 2017, Institute for Manufacturing (IfM), Department of Engineering, University of ...
openaire +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Fictitious Commodities: A Theory of Intellectual Property Inspired by Karl Polanyi’s “Great Transformation” [PDF]
The puzzle this Article addresses is this: how can it be explained that intellectual property (IP) laws and IP rights (IPRs) have continuously grown in number and expanded in scope, territorial reach, and duration, while at the same time have been ...
Peukert, Alexander
core +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Intellectual Property: When Is It the Best Incentive System? [PDF]
Our objective in this paper is to review what economists have said about incentive schemes to promote R&D, including intellectual property. While we focus on environments in which other forms of protection are not available, we note that other ...
Nancy Gallini, Suzanne Scotchmer
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Reusing Logic Masking to Facilitate Hardware Trojan Detection [PDF]
Hardware Trojan (HT) and Integrated Circuit (IC)/ Intellectual Property (IP) piracy are important threats which may happen in untrusted fabrication foundries.
Beroulle, Vincent +2 more
core
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source

