Results 181 to 190 of about 146,915 (245)

Detection of axonal degeneration in a mouse model of Huntington's disease: comparison between diffusion tensor imaging and anomalous diffusion metrics. [PDF]

MAGMA, 2019
Gatto RG, Gatto RG, Ye AQ, Colon-Perez L, Mareci TH, Lysakowski A, Price SD, Brady ST, Karaman M, Morfini G, Magin RL.   +10 more
europepmc   +1 more source

Image analysis method for measurement and prediction of intra‐matrix IgG diffusion

Biotechnology Progress, EarlyView.
Experimental and image analysis workflow for b‐IgG diffusion in hyaluronic acid (HA) matrix. Abstract Measurement and imaging of intra‐matrix protein therapeutics diffusion is important due to the emergence of injectable biologics currently in various stages of research and clinical testing.
Riya Debbarma, Antonio C. F. dos Santos, Michael Ladisch   +2 more
wiley   +1 more source

Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes. [PDF]

Proc Natl Acad Sci U S A, 2018
Di Pierro M, Potoyan DA, Wolynes PG, Onuchic JN.   +3 more
europepmc   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Quantifying non-ergodicity of anomalous diffusion with higher order moments. [PDF]

Sci Rep, 2017
Schwarzl M, Godec A, Metzler R.
europepmc   +1 more source

Unlocking Iron Redox Depth for High‐Energy Layered Sodium Oxide Cathodes

Carbon Energy, EarlyView.
Valence engineering strategy is introduced into layered NiFeMn‐based oxide cathodes to intensify the cationic redox capacity by reconfiguring Fe's local chemical environment and unlocking unprecedented redox depth. The cathode shows reversible O3 → P3 → OP2 transition, low volume variation, and high structural integrity.
Yadong Song, Wujie Dong, Zhuoran Lv, Bingyuan Han, Jiaming Li, Xin Wang, Xinxin Wang, Jingjing Chen, Chenlong Dong, Zhiyong Mao, Lianqi Zhang   +10 more
wiley   +1 more source

Electronic Resonance Network Stabilized Crystal Structure in High‐Nickel Cathodes for Lithium‐Ion Batteries

Carbon Energy, EarlyView.
Transition metal (TM) ions with empty eg orbitals induce single‐electron delocalization in Ni3+ to form the resonance structure of Ni─OO─TM through the high‐entropy effect. High‐nickel cathode materials with electron resonance structure have the advantages of improving thermodynamic stability, suppressing phase transitions, and mitigating lattice ...
Yi Li, Qinwen Cui, Jinpeng Li, Xingyu Li, Liang Yin, Erhong Song, Youwei Wang, Xiaolin Zhao, Jianjun Liu   +8 more
wiley   +1 more source

Spatially resolved 23Na magnetic resonance dispersion measurement in porous media

The Canadian Journal of Chemical Engineering, EarlyView.
Quantitative 23Na MRI was employed to analyze dispersion in realistic core plug samples and was compared with the conventional breakthrough curve. 23Na MRI provided a more effective aassessment of core plug heterogeneity than the conventional method. Abstract Tracer tests are widely used in the petroleum industry to assess reservoir core plugs, relying
Rheya Rajeev, Mohammad Sadegh Zamiri, Andrés Ramírez Aguilera, Florea Marica, Laura Romero de Zerón, Bruce J. Balcom   +5 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source