Results 141 to 150 of about 116,692 (327)
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
ObjectiveThe transient operation simulation technology for natural gas pipeline networks is essential for peak shaving, economical and safe operation, and diagnosing abnormal service conditions.
Chunyu YU +7 more
doaj +1 more source
Regulatory reform in Mexico's natural gas industry : liberalization in the context of a dominant upstream incumbent [PDF]
The natural gas industry combines activities with natural monopoly characterisitics with those that are potentially competitive. Pipeline transport and distribution, which have natural monopoly characterisitcs, require regulation of price and non-price ...
Halpern, Jonathan, Rosellon, Juan
core
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Energy policy and regulatory challenges in natural gas infrastructure and supply in the energy transition in Sweden [PDF]
Sweden is undergoing a major energy transition in which the present regulatory, competition and energy decisions will determine future involvement in the “oil and gas game” after decades of successful implementation of non-fossil fuel dependence policies.
Hernández Ibarzábal, José Alberto
core
Location of leaks in pipelines using parameter identification tools [PDF]
This work proposes an approach to locate leaks by identifying the parameters of finite models associated with these fault events. The identification problem is attacked by using well-known identification methods such as the Prediction Error Method and ...
Torres, L.
core
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan +5 more
wiley +1 more source
Removing Cross-Border Capacity Bottlenecks in the European Natural Gas Market: A Proposed Merchant-Regulatory Mechanism [PDF]
We propose a merchant-regulatory framework to promote investment in the European natural gas network infrastructure based on a price cap over two-part tariffs. As suggested by Vogelsang (2001) and Hogan et al. (2010), a profit maximizing network operator
Anne Neumann +2 more
core

