Results 171 to 180 of about 1,269,037 (388)

System‐level analysis of industrial electrification

open access: yesAIChE Journal, EarlyView.
ABSTRACT Electrification is a promising method for industrial decarbonization, but understanding its potential is challenging due to the plethora of relevant technologies and industrial sectors it can be applied to. To this end, we develop an assessment framework to quantify the cost and environmental impacts of electrification, including the option to
Julia Granacher   +2 more
wiley   +1 more source

MEP Pathway: First-Synthesized IspH-Directed Prodrugs with Potent Antimycobacterial Activity. [PDF]

open access: yesMicroorganisms
Allamand A   +5 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

open access: yesAdvanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir   +4 more
wiley   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu   +6 more
wiley   +1 more source

Toward Industrial Electrosynthesis of Ethylene: Energy‐Efficient and Stable Acetylene Semi‐Hydrogenation on a Copper Phosphide/MXene Electrocatalyst

open access: yesAngewandte Chemie, EarlyView.
Cu3P nanoparticles anchored on MXene via Ti─O─P bonds exhibit enhanced stability and resist agglomeration during the electrochemical semi‐hydrogenation of C2H2 to C2H4. Ti3C2/Cu3P achieves a record energy efficiency of 23.0% at 0.2 A cm−2 and stable operation in a 4 cm2 MEA for over 100 h at 1.0 A.
Zeliang Wu   +9 more
wiley   +2 more sources

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