A team of scientists from Heriot-Watt University has developed an AI-powered platform called PrISMa to accelerate the discovery of top-performing materials for carbon capture applications. The platform uses advanced simulations and machine learning to identify cost-effective and sustainable material-capture process combinations.
Countries rated more highly when their finance ministers know top executives in credit ratings agencies, reveals new research led by Heriot-Watt University. Developing countries benefit seven times more from higher ratings than developed counterparts due to professional connections.
A new study by Heriot-Watt University found that large groups of spectator boats can create loud and sustained noise impacting marine mammals, fishes, and invertebrates. The research suggests event organizers should limit the potential impacts of underwater noise from motorized vessels.
A new ingestible capsule with pressure sensors can pinpoint gut movement problems in patients, providing an unprecedented understanding of the digestive tract. The system has been tested in animals and is set to improve gastrointestinal disease detection.
Researchers at Heriot-Watt University have created a new method of 3D printing that uses near-infrared (NIR) light to create complex structures with multiple materials and colors. This breakthrough allows for the integration of different materials and properties, opening up possibilities for industries such as health and electronics.
A recent review highlights smart contracts as a game-changing technology for the energy sector, enabling decentralized generation and consumption. The study identifies applications in smart electric vehicle charging, demand-side response, peer-to-peer energy trading and more.
Researchers at Heriot-Watt University have developed a method using deep learning to accurately predict voltage distribution across entire power networks. The approach uses data from a limited number of key smart meter locations, eliminating the need for high-granularity data from every consumer meter.
Researchers at Heriot-Watt University have demonstrated the first quantum-secure conversation between four parties simultaneously, using Quantum Key Distribution and multi-party entanglement to share keys securely. This breakthrough has potential to drastically reduce resource costs for conference calls in quantum networks.
Researchers from Heriot-Watt University developed AI algorithms to optimize community energy assets, using multi-agent systems and cooperative game theory. The models provide fair ways to share joint gains among community members, considering individual contributions and needs.
A team of researchers explores how Game-theoretic models can optimize value proposition for different stakeholders in renewable energy investments. The study reveals a practical framework for analyzing investor decision-making and investigating feasible tariffs that encourage distributed renewable investment.
A machine learning algorithm predicts the life expectancy of critical components in extreme environments. The model is trained on data from electrochemical capacitors operated at temperatures up to 200°C, enabling safe and resilient operations in applications like downhole drilling equipment.
Researchers developed an AI framework to estimate battery health without interrupting operation, considering operating conditions and chemistry. The model can quantify uncertainty in predictions, supporting operating decisions.
A new project by Upside Energy and Heriot-Watt University aims to use machine learning and distributed AI to manage storage assets and provide real-time energy reserves. The goal is to relieve stress on the grid and reduce reliance on traditional power stations.
New research from Heriot-Watt University and the University of Southampton shows collective switching or group buying schemes can save UK consumers up to a third of their yearly electricity bills. The study proposes a model to help consumers form more efficient buying groups and minimize switching risks.