Results 51 to 60 of about 26,891,998 (226)
Spin models for orientational ordering of colloidal molecular crystals [PDF]
Two-dimensional colloidal suspensions exposed to periodic external fields exhibit a variety of molecular crystalline phases. There two or more colloids assemble at lattice sites of potential minima to build new structural entities, referred to as ...
Andreja Šarlah+13 more
core +2 more sources
Background Glioblastoma (GBM) is recognized as among the most aggressive forms of brain tumor. Patients typically present with a five-year survival rate of less than 6% with traditional surgery and chemoradiotherapy, which calls for novel immunotherapies
Shijie Wang+6 more
doaj +1 more source
Hybrid theoretical models for molecular nanoplasmonics.
The multidisciplinary nature of the research in molecular nanoplasmonics, i.e., the use of plasmonic nanostructures to enhance, control, or suppress properties of molecules interacting with light, led to contributions from different theory communities ...
E. Coccia+5 more
semanticscholar +1 more source
Molecular pathways of major depressive disorder converge on the synapse
Major depressive disorder (MDD) is a psychiatric disease of still poorly understood molecular etiology. Extensive studies at different molecular levels point to a high complexity of numerous interrelated pathways as the underpinnings of depression. Major
G. Fries+3 more
semanticscholar +1 more source
Quantum Monte Carlo method for models of molecular nanodevices [PDF]
We introduce a quantum Monte Carlo technique to calculate exactly at finite temperatures the Green function of a fermionic quantum impurity coupled to a bosonic field. While the algorithm is general, we focus on the single impurity Anderson model coupled
A. C. Hewson+2 more
core +3 more sources
The CRISPR/Cas9 system is a powerful tool for gene repair that holds great potential for gene therapy to cure monogenic diseases. Despite intensive improvement, the safety of this system remains a major clinical concern.
Ngoc Tung Tran+5 more
doaj +1 more source
Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.
We investigate the impact of choosing regressors and molecular representations for the construction of fast machine learning (ML) models of 13 electronic ground-state properties of organic molecules.
Felix A Faber+11 more
semanticscholar +1 more source
Ultrasensitive gene regulation by positive feedback loops in nucleosome modification
Eukaryotic transcription involves the synergistic interaction of many different proteins. However, the question remains how eukaryotic promoters achieve ultrasensitive or threshold responses to changes in the concentration or activity of a single ...
Kim Sneppen+2 more
doaj +1 more source
Molecular-orbital representation of generic flat-band models
We develop a framework to describe a wide class of flat-band models, with and without a translational symmetry, by using "molecular orbitals" introduced in the prior work (HATSUGAI Y. and MARUYAMA I., \textit{EPL}, \textbf{95}, (2011) 20003).
Hatsugai, Yasuhiro, Mizoguchi, Tomonari
core +1 more source
Understanding molecular representations in machine learning: The role of uniqueness and target similarity [PDF]
The predictive accuracy of Machine Learning (ML) models of molecular properties depends on the choice of the molecular representation. Based on the postulates of quantum mechanics, we introduce a hierarchy of representations which meet uniqueness and ...
Bing Huang+4 more
core +2 more sources