Computing the Dissociation Constant from Molecular Dynamics Simulations with Corrections for the Large Pressure Fluctuations-Aquaglyceroporins Have High Affinity for Their Substrate Glycerol. [PDF]
Mohsin M, Loja HR, Chen LY.
europepmc +1 more source
The Role of the Volume in Black Hole Thermodynamics
Gibbons et al. [42] found the energy E of Kerr–anti-de Sitter black holes by integrating the first law of black hole thermodynamics, δE=P_iΩiδJ_i+TδS, with black hole angular momenta J_i, angular velocity Ω_i, temperature T and entropy S. They showed that E corresponds to the Ashtekar–Magnon–Das (AMD) energy, calculated in frame adapted to the Killing ...
openaire +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Silicon allotropes by large-volume high-pressure techniques: crystal growth mechanisms, phase diagrams and hexagonal nanostructured Si-6H by in situ X-ray diffraction and computational methods. [PDF]
Courac A, Le Godec Y.
europepmc +1 more source
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Interfacial Thermodynamics of Ti<sub>3</sub>C<sub>2</sub>T <sub><i>x</i></sub> MXene-PVDF-PTFE Triple Interface Systems for Hierarchical Membrane Distillation. [PDF]
Merugu S +4 more
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
Spark or Sound: How Two Differing Explanatory Strategies Impact the Debate on the Physical Nature of Neuronal Excitability. [PDF]
Drukarch B, Wilhelmus MMM.
europepmc +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source

