Results 181 to 190 of about 260,346 (290)

IMCKDE algorithm: an improvement in a clustering technique based on kernel density estimation. [PDF]

J Appl Stat
Ferreira PM, Kleina M.
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

KEVS: enhancing segmentation of visceral adipose tissue in pre-cystectomy CT with Gaussian kernel density estimation. [PDF]

Int J Comput Assist Radiol Surg
Boucher T, Tetlow N, Fung A, Dewar A, Arina P, Kerneis S, Whittle J, Mazomenos EB.   +7 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty. [PDF]

Sci Rep
Renhai F, Khan W, Tariq A, Abbas M, Yousaf MZ, Aziz A, Bajaj M, Abdullah M, Tuka M.   +8 more
europepmc   +1 more source

Sustainable Carbon Fibers Enable Stable Long‐Term Lithium Metal Deposition for Prospective Zero‐Excess Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern, Jonathon Cottom, Jana B. Fritzke, Emma N. Antonio, Zhenyu Guo, Bhavini Patel, Romain Tort, Ifan E. L. Stephens, Camilla Di Mino, Clare P. Grey, Rhodri Jervis, Emilia Olsson, Heather Au, Maria‐Magdalena Titirici   +13 more
wiley   +1 more source

Learning transfer operators by kernel density estimation. [PDF]

Chaos
Surasinghe S, Fish J, Bollt EM.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost. [PDF]

Sci Rep
Zheng S, Hu T, Khodadadi N, Nanni A.
europepmc   +1 more source

Clustering and Kernel Density Estimation for Assessment of Measurable Residual Disease by Flow Cytometry. [PDF]

Diagnostics (Basel), 2020
Jacqmin H, Chatelain B, Louveaux Q, Jacqmin P, Dogné JM, Graux C, Mullier F.   +6 more
europepmc   +1 more source