Results 201 to 210 of about 3,357,047 (270)

Tree reconstruction guarantees from CRISPR-Cas9 lineage tracing data using Neighbor-Joining. [PDF]

Genome Res
An K, Prillo S, Wu W, Kristanto I, Jones MG, Song YS, Yosef N.   +6 more
europepmc   +1 more source

Generalized Beth–Uhlenbeck Entropy Formula From the Φ‐Derivable Approach

Contributions to Plasma Physics, EarlyView.
ABSTRACT We derive a generalized Beth–Uhlenbeck formula for the entropy of a dense fermion system with strong two‐particle correlations, including scattering states and bound states. We work within the Φ‐derivable approach to the thermodynamic potential.
David Blaschke, Gerd Röpke, Gordon Baym
wiley   +1 more source

Characterizing Multifunctional Mesoporous Cerium Silicate Nanoparticles for Potential Use in Bioactive Dental Materials: A Proof-of-Concept Study. [PDF]

Materials (Basel)
Jones RS, Singh T, Mutreja I, Kumar D.
europepmc   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Metasurface Vision Transformer: A Generic AI Model for Metasurface Inverse Design. [PDF]

Nanophotonics
Yan J, Yi J, Ma C, Bao Y, Chen Q, Li B.
europepmc   +1 more source

Community‐level egg and larval trait interactions with the Amazon River plume determine its role as a dispersal barrier

Ecography, EarlyView.
The Amazon River plume (ARP) functions as a dynamic and porous biogeographic barrier whose permeability to larval dispersal depends on the interplay between species' biological traits and oceanographic processes. Using biophysical modeling combined with a dual analytical framework, namely a multivariate regression tree (MRT) and a generalized additive ...
Ramon B. Santos, Nelson A. Gouveia, Douglas F. M. Gherardi   +2 more
wiley   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Toward an Affordable Density-Based Measure for the Quality of a Coupled Cluster Calculation. [PDF]

J Phys Chem A
Jones GH, Weflen KE, Martin JML.
europepmc   +1 more source

Unveiling Strain‐Driven Catalysis in Magnesium Hydride via Ultrafine High‐Entropy Hydride

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The unprecedented, direct, and tailored synthesis of high‐entropy hydride (HEH) nanoparticles is achieved under ambient conditions via one‐step mechanochemical strategy and demonstrates exceptional catalytic behaviors in magnesium hydride (MgH2) hydrogen storage, where partially dehydrogenated HEH introduces abundant lattice strain and hydrogen ...
Jiaguang Zheng, Changhai Wu, Panpan Zhou, Meiling Lv, Xiulin Fan, Xuezhang Xiao, Lixin Chen   +6 more
wiley   +1 more source

Generation of reconfigurable hypercubic graph states in one to four dimensions in a simple optical system. [PDF]

Sci Adv
Zhou Z, de Araujo LEE, DiMario M, Su J, Wu MC, Anderson BE, Zhao J, Jones KM, Lett PD.   +8 more
europepmc   +1 more source