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Science (New York, N.Y.)|November 24, 2007
Shape and temperature memory of nanocomposites with broadened glass transitionPierre Miaudet, Alain Derré, Maryse Maugey, et al.
International Journal of Pharmaceutics|November 7, 2022
Predicting powder feedability: A workflow for assessing the risk of flow stagnation and defining the operating space for different powder-feeder combinationsTheresa R Hörmann-Kincses, Michela Beretta, Julia Kruisz, et al.
International Journal of Pharmaceutics|April 18, 2026
Novel methodology to assess and predict segregation risk in a continuous direct compression via mini-batch blending processPaul Kroll, Tong Deng, Lucas Massaro Sousa, et al.
Nature Chemistry|October 25, 2013
Computer-aided molecular design of solvents for accelerated reaction kineticsHeiko Struebing, Zara Ganase, Panagiotis G Karamertzanis, et al.
International Journal of Pharmaceutics|May 1, 2026
Predicting the viability of pharmaceutical formulations for continuous direct compression using machine learning approachesLaura Pereira Diaz, Stéphanie Marchal, Paul Kroll, et al.
International Journal of Pharmaceutics|October 31, 2024
Computer-Aided formulation design for pharmaceutical drug product development, part 01: Materials exploration through a visualization toolPatrick M Piccione, Moritz N Lang, Felipe Amado Becker, et al.
International Journal of Pharmaceutics|August 20, 2022
Linked experimental and modelling approaches for tablet property predictionsHikaru G Jolliffe, Ebenezer Ojo, Carlota Mendez, et al.
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