Results 221 to 230 of about 32,857 (304)

On Anomalous Asymptotics of Heat Kernels

, 2019
Elst, ter, A.F.M., Robinson, D.W.
openaire   +3 more sources

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Mathematical modeling of the frozen zone dynamics: Towards using thermal imagers in cryotherapy. [PDF]

PLoS One
Ivakhnenko OV, Todrin OF, Globa VY, Chyzh MO, Kovalov GO, Shevchenko SN.   +5 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Cultivar evolution underpins maize yield sensitivity to adverse climate conditions. [PDF]

Nat Commun
Zhang L, Bai Z, Xi W, Zhang D, Olesen JE, Harrison MT, Bernacchi C, Makowski D, McDonald AJ, Shi S, Liu K, Rezaei EE, Zheng Q, Shan Y, Chen F, Yin X.   +15 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Embodying physical computing into soft robots. [PDF]

Nat Commun
Wang J, Zhou Z, Kahak A, Li S.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Effects of Rice Bran Oil Shortening Substitution on Physicochemical and Functional Properties of Plant-Based Mozzarella Cheeses. [PDF]

Foods
Vatthanakul S, Theprugsa P, Jewsuwan N, Prinyawiwatkul W.   +3 more
europepmc   +1 more source