Results 111 to 120 of about 12,670 (246)

Dislocation‐Mediated Lattice Distortion and Griffiths Phase Behavior in Melt‐Spun Ni2MnSb Ribbons

Advanced Science, EarlyView.
This figure illustrates how melt‐spinning introduces dislocations into Ni2MnSb Heusler alloys. TEM images reveal local lattice distortions and associated strain fields surrounding dislocations at a representative wheel speed. As wheel speed increases, these distortions promote the formation of ferromagnetic clusters within a paramagnetic matrix ...
Kun Wang, Siying Yu, Qizhong Zhao, Jiale Guo, Minxia Fang, Yichuan Tang, Pengqaing Hu, Yin Zhang, Chao Zhou, Kaiyan Cao, Fanghua Tian, Sen Yang   +11 more
wiley   +1 more source

To be or not to be: The second law of thermodynamics and the flow of life and death. [PDF]

EMBO Rep, 2020
Dotto GP.
europepmc   +1 more source

Tailoring K+ Dosage in K+/Zn2+ Mixed Electrolytes via Lattice Expansion Regulation of Zinc Hexacyanoferrate for High‐performance Zinc Ion Batteries

Advanced Science, EarlyView.
The study proposes a fitting curve as a reference to quantify the optimal K+ ratio in K+/Zn2+ mixed electrolyte, thus achieving stable and high‐capacity aqueous zinc ion batteries at each current density. ABSTRACT Incorporating K+ into Zn‐based electrolytes can enhance the performance of aqueous zinc ion batteries, while the lack of a clear rule for ...
Yewei Li, Yuqian Li, Yuchen Zhang, Shuang Zheng, Yanhao Pan, Jiyuan You, Yan Liu, Wenju Wang   +7 more
wiley   +1 more source

Entropy Decoding the Fundamental Law of Phase Competition in Glass Formation

Advanced Science, EarlyView.
We validate the integration of intermetallic and eutectic phases as initial phases for composition design. The phase competition mechanism in glass formation is quantitatively clarified based on the melting entropy of competing phases. Glass‐forming ability is modulated by tuning phase competition via the melting entropy of initial phases.
Benke Huo, Zhengqing Cai, Bingtao Wang, Zhenqiang Song, Shi‐Dong Feng, Zijing Li, Xingjun Liu, Li‐Min Wang   +7 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Application of the Second Law of Thermodynamics in Brazilian Residential Appliances towards a Rational Use of Energy. [PDF]

Entropy (Basel), 2020
Keutenedjian Mady CE, Reis Pinto C, Torelli Reis Martins Pereira M.   +2 more
europepmc   +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

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

From the Principle of Inertia to the Death Drive: The Influence of the Second Law of Thermodynamics on the Freudian Theory of the Psychical Apparatus. [PDF]

Front Psychol, 2020
Tran The J, Ansermet JP, Magistretti P, Ansermet F.   +3 more
europepmc   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source