Results 101 to 110 of about 168,133,245 (277)

Nanoscale Optical Inhomogeneities From Compositional Segregation Within Individual GaN‐on‐Si Quantum Wells

Advanced Science, EarlyView.
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung, Tara P. Mishra, Zackaria Mahfoud, Thomas E. Gage, Jianguo Wen, Katherine P. Rice, Isabelle Martin, Li Zhang, Govindo J. Syaranamual, Stephen J. Pennycook, Silvija Gradečak, Pieremanuele Canepa, Michel Bosman   +12 more
wiley   +1 more source

Biomimetic electrospun nanofibrous scaffold for tissue engineering: preparation, optimization by design of experiments (DOE), in-vitro and in-vivo characterization. [PDF]

Front Bioeng Biotechnol, 2023
Anjum S, Li T, Arya DK, Ali D, Alarifi S, Yulin W, Hengtong Z, Rajinikanth PS, Ao Q.   +8 more
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

Experimental Design in Pharmaceutical Formulation Development: Achievements, Limitations and the Transition Toward Intelligent Optimization

Scientia Pharmaceutica
Historically, pharmaceutical formulation development relied heavily on trial-and-error experimentation, which was useful for empirical progress but often provided limited mechanistic understanding and insufficient efficiency for increasingly complex drug
Ayşe Türkdoğan, Tarek Alloush, Burcu Demiralp   +2 more
doaj   +1 more source

Towards a Material-by-Design Approach to Electrospun Scaffolds for Tissue Engineering Based on Statistical Design of Experiments (DOE). [PDF]

Materials (Basel), 2023
Carotenuto F, Fiaschini N, Di Nardo P, Rinaldi A.   +3 more
europepmc   +1 more source

Sheet‐Size‐Dependent Mosaicity of 2D Phyllosilicate Membranes

Advanced Science, EarlyView.
This study explores how the size of 2D vermiculite sheets affects the structure of laminar membranes. High‐resolution x‐ray diffraction reveals how sheet size governs structural disorder and crystallinity. These changes directly impact ion permeability.
Min A Kim, Paul A. Fenter, Sang Soo Lee, Katrina I. Sparks, Yining Liu, Jeffrey W. Elam, Seth B. Darling   +6 more
wiley   +1 more source

Method development with LA-ICP-MS in U-Pb geochronology using design of experiment

MethodsX
Inductively Coupled Plasma Mass Spectrometry (ICP-MS), when combined with laser ablation (LA-ICP-MS), is widely used for precise U-Pb zircon geochronology.
Merve Caner, Murat Tunç, Gürsel Sunal, Mehmet Akif Sarıkaya   +3 more
doaj   +1 more source

A Design of Experiments (DoE) Approach to Optimize Cryogel Manufacturing for Tissue Engineering Applications. [PDF]

Polymers (Basel), 2022
Carvalho DN, Gonçalves C, Oliveira JM, Williams DS, Mearns-Spragg A, Reis RL, Silva TH.   +6 more
europepmc   +1 more source

DESIGN OF EXPERIMENTS (DOE) IN PHARMACEUTICS: A COMPREHENSIVE REVIEW

Planning experiments in a methodical way helps scientists create and enhance drug formulas and production techniques in a scientific way. By studying different factors together, DOE can identify important materials, processes, and qualities that affect how well a drug works.
Ramya Teja Medarametla*, Dr. J. N. Suresh Kumar, A. Raja Kumar, A. Bindhu Sri, A. Shaik Kousar, R. Sravanthi, D. Saida   +6 more
openaire   +2 more sources

Design of Experiments (DOE)—A Valuable Multi-Purpose Methodology

Applied Mathematics, 2014
The DOE methodology is an effective tool for upgrading the level of measurement and assessment. In any design, planning or control problem the designer is faced with many alternatives. He/she is challenged to develop design approaches that can meet both quality and cost criteria. The way experiments are designed greatly affects the effective use of
openaire   +2 more sources