Filtering and Informing the Design Space [PDF]
ACM Transactions on Computer-Human Interaction, 2021 Building on the concept “prototypes that filter the design space,” we establish how other kinds of design artifacts and activities (e.g., sketching, tests, concept posters, metaphors, design tools) are equally critical in filtering the design space.
Kim Halskov
exaly +4 more sources
Methods for Developing a Process Design Space Using Retrospective Data [PDF]
Pharmaceutics, 2023 Prospectively planned designs of experiments (DoEs) offer a valuable approach to preventing collinearity issues that can result in statistical confusion, leading to misinterpretation and reducing the predictability of statistical models.
Miquel Romero-Obon +6 more
doaj +2 more sources
A design space for automated material handling vehicles [PDF]
Frontiers in Robotics and AI, 2023 Material Handling Vehicles (loaders, excavators, forklifts, harvesters, etc.) have seen a strong increase in automation efforts in recent years. The contexts such vehicles operate in are frequently complex and due to the often very specific nature of ...
Alexander G. Mirnig +7 more
doaj +2 more sources
Wide-address spaces - exploring the design space [PDF]
ACM SIGOPS Operating Systems Review, 1992 In a recent issue of Operating System Review, Hayter and McAuley [1991] argue that future high-performance systems trade a traditional, bus-based organization for one where all components are linked together by network switches (the Desk-Area Network ...
Bartoli, Alberto +2 more
core +8 more sources
Control Strategy for Excipient Variability in the Quality by Design Approach Using Statistical Analysis and Predictive Model: Effect of Microcrystalline Cellulose Variability on Design Space [PDF]
Pharmaceutics, 2022 Although various quality by design (QbD) approaches have been used to establish a design space to obtain robust drug formulation and process parameters, the effect of excipient variability on the design space and drug product quality is unclear.
Ji Yeon Kim, Du Hyung Choi
doaj +2 more sources
Design Space and Control Strategy for the Manufacturing of Wet Media Milled Drug Nanocrystal Suspensions by Adopting Mechanistic Process Modeling [PDF]
PharmaceuticsWet media milling is a fully industrialized technology for the manufacturing of drug nanocrystal suspensions. This work describes the development of an advanced control strategy and an associated design space for a manufacturing process at a commercial ...
André Bitterlich +2 more
doaj +2 more sources
Design Space Approach for the Optimization of Green Fluidized Bed Granulation Process in the Granulation of a Poorly Water-Soluble Fenofibrate Using Design of Experiment [PDF]
Pharmaceutics, 2022 In the pharmaceutical industry, the systematic optimization of process variables using a quality-by-design (QbD) approach is highly precise, economic and ensures product quality. The current research presents the implementation of a design-of-experiment (
Mohamed H. Fayed +3 more
doaj +2 more sources
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling. [PDF]
Nat Commun, 2023 The rise of machine learning has fueled the discovery of new materials and, especially, metamaterials—truss lattices being their most prominent class.
Zheng L +3 more
europepmc +3 more sources
Elucidating the Design Space of Diffusion-Based Generative Models [PDF]
Neural Information Processing Systems, 2022 We argue that the theory and practice of diffusion-based generative models are currently unnecessarily convoluted and seek to remedy the situation by presenting a design space that clearly separates the concrete design choices.
Tero Karras +3 more
semanticscholar +1 more source
The design space of E(3)-equivariant atom-centred interatomic potentials. [PDF]
Nat Mach Intell, 2022 Molecular dynamics simulation is an important tool in computational materials science and chemistry, and in the past decade it has been revolutionized by machine learning.
Batatia I +8 more
europepmc +3 more sources