Results 71 to 80 of about 739,862 (359)

Stochastic optimization of Power‐to‐Methanol: Production cost sensitivity to process design vs. scheduling

open access: yesAIChE Journal, EarlyView.
Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

EDV – Italian Medieval Epigraphy in the Vernacular. Some Editorial Problems Discussed, [PDF]

open access: yes, 2018
EDV (Epigraphic Database Vernacular) is a database collecting the vernacular inscriptions produced in Italy from the late Medieval to the Early Modern Age, and is a part of the EAGLE and IDEA projects. The present contribution illustrates the criteria
Cannata, Nadia
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Scalable Access to N‑Acylindole Linkages: Enabling the Synthesis of Antitrypanosomal Noncanonical Cyclic Peptides for Chagas Disease

open access: yesAngewandte Chemie, EarlyView.
A gram‐scale supply of bulbiferamide A, which features a rare N‐acylindole linkage and possesses potent inhibitory activity against Trypanosoma cruzi epimastigotes (IC50 = 4.1 µM)—the causative parasite of Chagas disease—was successfully achieved. Moreover, the cyclization strategy developed in this study facilitated the synthesis of noncanonical ...
Jie Zhang, Hugh Nakamura
wiley   +2 more sources

On The Evolution of TFP in Latin America (revised) [PDF]

open access: yes
Due to several policy distortions, including import-substitution industrialization, widespread government intervention and both domestic and international competitive barriers, there has been a general presumption that Latin America has been much less ...
Ferreira, Pedro Cavalcanti   +2 more
core  

Late Latin Lexicon

open access: yesArchivalia
Open Access: https://edizionicafoscari.it//it/edizioni/riviste/lalalexit/ = http://doi.org/10.30687/LLLXT/2375 ...
openaire   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

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