Results 151 to 160 of about 676,319 (287)

The Study of Magnetically Deformed Atoms in the Outer Crust of Neutron Stars in Presence of Strong Quantizing Magnetic Field [PDF]

, 2009
Arpita Ghosh, Somenath Chakrabarty
openalex   +1 more source

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source

Information-Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects. [PDF]

Entropy (Basel)
Zhanabaev Z, Akniyazova A, Ashimov Y.
europepmc   +1 more source

The oldest stars with low neutron-capture element abundances and origins in ancient dwarf galaxies [PDF]

Hillary Diane Andales, Ananda Santos Figueiredo, Casey Gordon Fienberg, Mohammad K. Mardini, Anna Frebel   +4 more
openalex   +1 more source

Structure of neutron stars with unified equations of state [PDF]

, 2012
A. F. Fantina, N. Chamel, John Pearson, S. Goriely   +3 more
openalex   +1 more source

A critical review of porous adsorbents for air separation: From fundamental insights to rational adsorbent design

AIChE Journal, EarlyView.
Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang, Daisong Chen, Tianyi Zhang, Boyu Zhang, Ruiqiang Wang, Zhengdong Liu, Mei Hong, Youssef Belmabkhout, Qinfen Gu, Jin Shang   +9 more
wiley   +1 more source

Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations. [PDF]

Eur Phys J A Hadron Nucl
Mudimadugula R, Schianchi F, Neuweiler A, Wouters T, Gieg H, Dietrich T.   +5 more
europepmc   +1 more source

Convective stability analysis of massive neutron stars formed in binary mergers

Yong Gao, Kota Hayashi, Kenta Kiuchi, Alan Tsz-Lok Lam, Hao-Jui Kuan, Masaru Shibata   +5 more
openalex   +1 more source

Hyperaccreting Disks around Neutrons Stars and Magnetars for GRBs: Neutrino Annihilation and Strong Magnetic Fields [PDF]

, 2010
Dong Zhang, Z. G. Dai, Nobuyuki Kawai, Shigehiro Nagataki   +3 more
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source