Results 71 to 80 of about 3,928,328 (244)
Advanced 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
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Synthesis of Active Pharmaceutical Ingredient Atomoxetine Via Desulfurative Halogenation
An innovative preparation of the Active Pharmaceutical Ingredient (API) Atomoxetine has been developed. Key advantages of the synthetic procedure include: a one-pot preparation of a 1,3-bis-electrophilic phenyl-propionic synthon obtained via ...
Adamo, M. F. A. +5 more
core +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Dissolution of the active pharmaceutical ingredient determined for each sample.
, 2018 Dissolution of the active pharmaceutical ingredient determined for each sample.
Emmanuel Wemakor (6029687) +3 more
core +1 more source
, 2022 S.245-250In the context of the implementation of Lean Production Systems, companies have become significantly more aware of the need for employee qualification and motivation.
Sieckmann, F. +3 more
core +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Analytical method (HPLC), validation used for identification and assay of the pharmaceutical active ingredient, Tylosin tartrate for veterinary use and its finite product Tilodem 50, hydrosoluble powder [PDF]
Medicamentul Veterinar, 2010 In SC DELOS IMPEX ’96 SRL the quality of the active pharmaceutical ingredient (API) for the finite product Tilodem 50 - hydrosoluble powder was acomkplished in the respect of last European Pharmacopoeia.The method for analysis used in this purpose was ...
Maria Neagu
doaj
Prednisone raw material characterization and formulation development
Brazilian Journal of Pharmaceutical Sciences, 2018 Solid dosage forms for oral use, particularly tablets, are the most highly used dosage forms in therapy because they are easily administered, have high productivity and relatively low cost and provide a more stable drug to form a semi-solid net. Numerous
Leonardo Henrique Toehwé +2 more
doaj +1 more source