Results 171 to 180 of about 6,977,449 (253)

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

open access: yesAdvanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski   +5 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

open access: yesAdvanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré   +5 more
wiley   +1 more source

Targeted Active Learning for Bayesian Decision-Making

open access: yes
Active learning is usually applied to acquire labels of informative data points in supervised learning, to maximize accuracy in a sample-efficient way.
Kaski, Samuel   +5 more
core   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

open access: yesAdvanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus   +3 more
wiley   +1 more source

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