Results 131 to 140 of about 1,553 (242)
Machine-Learned Electrostatic Potentials for Accurate Hydration Free Energy Calculations. [PDF]
Hilfiker M +4 more
europepmc +1 more source
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon +3 more
wiley +1 more source
Atomistic characterization of the maturation mechanisms in the HIV-1 capsid domain. [PDF]
Cannistra C, Wang E, Lee EMY, Yu A.
europepmc +1 more source
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz +11 more
wiley +1 more source
Electrolyte Chemistry Development for Sodium-Based Batteries: A Blueprint from Lithium or a Step Toward Originality? [PDF]
Song Z +12 more
europepmc +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Ion Adsorption at Surfaces from Local and Global Electroneutrality Constraints. [PDF]
Ploetz EA, Smith PE.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Analysis of Charge Parameter Characteristics of Graphene Partial Discharge Sensor Based on First-Principles Study. [PDF]
Zhang H, Jia P, Nie M, Zhu J, Li Z.
europepmc +1 more source
Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang +4 more
wiley +1 more source

