Results 251 to 260 of about 295,628 (369)

Engineering Catalysts at the Multiscale: Past, Present, and Future of Catalyst Manufacturing and Shaping Processes

open access: yesChemCatChem, Volume 18, Issue 1, 15 January 2026.
The image illustrates the journey of catalyst engineering across scales, emphasizing the design, shaping, and manufacturing of technical catalysts. It highlights how hierarchical structuring bridges properties and process innovation, showcasing the continuum between fundamental science and industrial practice that defines modern catalyst engineering ...
Ali M. Alkadhem   +6 more
wiley   +1 more source

Multilingual voice-enabled informatics tools: Catalyst for equitable AI in HIV and HIV-comorbidity healthcare management. [PDF]

open access: yesPLoS One
Oluwagbemi OO   +6 more
europepmc   +1 more source

Optimization and predictive modelling of biodiesel production from waste cooking oil catalyzed by blast furnace slag geopolymer using RSM and machine learning

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 1, Page 6-30, January 2026.
Abstract Biodiesel production from waste cooking oil (WCO) has emerged owing to growing interest in sustainable energy sources. Geopolymers synthesized from industrial wastes, such as blast furnace slag (BFS), are promising catalysts because of their environmental benefits and catalytic properties.
Pascal Mwenge   +3 more
wiley   +1 more source

Quantum medicine: A quantum–mechanical framework for redox biology, disease and precision medicine

open access: yesClinical and Translational Medicine, Volume 16, Issue 1, January 2026.
Quantum medicine integrates quantum simulation, experimental validation and clinical data into a unified QEC pipeline. Quantum algorithms compute electronic and spin‐level properties of redox biology, which are validated by quantum sensing and structural biology and translated into precision diagnostics and therapy through multi‐omics and quantum ...
Ji‐Yong Sung, Jae‐Ho Cheong
wiley   +1 more source

Quantitative Assessment Model for Technology Transfer Risks in University‐Enterprise Collaborative Innovation: Based on Multi‐Objective Optimization Strategy of Deep Adversarial Reinforcement Learning

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley   +1 more source

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