Results 161 to 170 of about 321,289 (300)

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

open access: yesCarbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal   +6 more
wiley   +1 more source

Basic Environmental and Engineering Geology

open access: yesKartografija i Geoinformacije, 2007
Maša Surić
doaj  

Environmental Transformation and Trophic Transfer of Engineered Nanomaterials in the Agri‐Food Chain and Implications for human Health

open access: yesChemFoodChem, EarlyView.
ABSTRACT Engineered nanomaterials (ENMs) are increasingly applied in agriculture to improve crop yield, nutrient efficiency, and food quality. This study examines the environmental transformation of ENMs, their uptake in plants, and their transfer across the agri‐food chain leading to human exposure.
Soumitra Nath
wiley   +1 more source

Variable Temperature Studies of Two Calcium Uranates α‐Ca3UO6 and Ca2UO5

open access: yesChemistry – A European Journal, EarlyView.
The structures and thermal responses of the calcium uranates α‐Ca3UO6 and Ca2UO5 were investigated using in situ synchrotron x‐ray diffraction and neutron powder diffraction. Despite the very similar chemical compositions, the structural response of the two calcium uranates is shown to be complex and varied.
Maria K. Nicholas   +8 more
wiley   +1 more source

Characterizing cognitive workload during simulated surface extravehicular activity with integrated virtual reality. [PDF]

open access: yesFront Psychol
Anderson SR   +12 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

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