Results 271 to 280 of about 5,359,012 (345)

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

On meeting capital requirements with a chance-constrained optimization model. [PDF]

Springerplus, 2016
Atta Mills EF, Yu B, Gu L.
europepmc   +1 more source

Deep Mixed Residual Method for Solving Pde-Constrained Optimization Problems

Jinjun Yong, Xianbing Luo, Shuyu Sun, Changlun Ye   +3 more
openalex   +1 more source

Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution

Advanced Functional Materials, EarlyView.
To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma, Longfei Yang, Xiaojin Yang, Chang Zhang, Di Zhang, Linda Zhang, Li Wei, Chenliang Ye, Hao Li, Weijie Yang   +9 more
wiley   +1 more source

Biologically constrained optimization based cell membrane segmentation in C. elegans embryos. [PDF]

BMC Bioinformatics, 2017
Azuma Y, Onami S.
europepmc   +1 more source

Application of Sampling Methods for Constrained Space in Hull Form Optimization

HOU En-long, Haichao Chang, Baiwei Feng, Zuyuan Liu, Chengsheng Zhan, Xide Cheng   +5 more
openalex   +2 more sources

Modulating Interfacial Potential Gradients in Metal−Carbon Catalysts via Phase‐Engineering for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim, Hengquan Guo, Seonghee Kim, Jae Bin Park, Seongwook Chae, Taekyun Kwon, Seungjo Hong, Byeong Jin Kim, Guadalupe Arturo De la Garza Gonzalez, Minjoon Park, Jae Ho Kim, Oi Lun Li, Seung Geol Lee, Jin Hong Lee   +13 more
wiley   +1 more source

Estimation of Human Body Vital Signs Based on 60 GHz Doppler Radar Using a Bound-Constrained Optimization Algorithm. [PDF]

Sensors (Basel), 2018
Zhang T, Sarrazin J, Valerio G, Istrate D.   +3 more
europepmc   +1 more source

Reliability-Aware Energy Optimization for Throughput-Constrained Applications on MPSoC

, 2018
Changjiang Gou, Anne Benoît, Mingsong Chen, Loris Marchal, Tongquan Wei   +4 more
openalex   +2 more sources

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source