Results 91 to 100 of about 66,752 (296)

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

Influence of the nuclear electric field on processes of annihilation of positrons emitted at β+-decay [PDF]

Ядерна фізика та енергетика, 2014
The process of atomic shell ionization during annihilation of positron, emitted at β+-decay, with K-electron of daughter's atom is considered. The role of nuclear Coulomb field at calculation of the probability of this process is investigated.
S. N. Fedotkin
doaj  

ON THE ANNIHILATOR OF A DOLBEAULT GROUP [PDF]

International Journal of Mathematics, 2010
We show that any Dolbeault cohomology group Hp,q(D), p ≥ 0, q ≥ 1, of an open subset D of a closed finite codimensional complex Hilbert submanifold of ℓ2 is either zero or infinite dimensional. We also show that any continuous character of the algebra of holomorphic functions of a closed complex Hilbert submanifold M of ℓ2 is induced by its evaluation
openaire   +2 more sources

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Studies of a thermally averaged p-wave Sommerfeld factor

Physics Letters B, 2019
Thermal pair annihilation of heavy particles, such as dark matter or its co-annihilation partners, can be strongly influenced by attractive interactions.
Seyong Kim, M. Laine
doaj   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Structural and Compositional Effects on the Scintillation Properties of Fast Emitting Metal‐Organic Frameworks

Advanced Science, EarlyView.
The crystalline structure, the atomic numbers of the constituent elementsand the size of MOF crystals each influence their photoluminescence and scintillation properties in distinct ways. Together, these factors provide valuable guidelines for designing systems with optimized performance and tunable timing characteristics, arising from the synergistic ...
Francesca Cova, Jacopo Perego, Biplab Joarder, Nobuhiro Yanai, Anna Vedda, Silvia Bracco, Angiolina Comotti, Angelo Monguzzi, Irene Villa   +8 more
wiley   +1 more source

Semi-annihilation of dark matter [PDF]

, 2010
We show that the thermal relic abundance of dark matter can be affected by a new type of reaction: semi-annihilation. Semi-annihilation takes the schematic form ..., where psi i are stable dark matter particles and phi is an unstable state.
Francesco D’Eramo, D'Eramo, Francesco, Thaler, Jesse, Jesse Thaler   +3 more
core   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Perturbative QCD studies of multijet structures in electron-positron annihilation [PDF]

, 1987
To investigate the effect in perturbative QCD of multigluon emissions on the transverse momentum distributions of multijet final states in electron-positron annihilation, we use a simplified model based on the approximation that gluons are emitted ...
Michopoulos, Y, Michopoulos, Yanos
core